Advanced Google Analytics Flashcards

Question

What is referral traffic?

Answer 1

traffic that comes to your website from sources other than search engines. EX: hyperlinks from sites, blogs, social media etc

Answer 2

A specific set of marketing activities or initiatives that are designed to drive traffic to the website and achieve specific goals such as increasing sales, generating leads or boosting brand awareness.

Answer 3

A method used in digital marketing to track the effectiveness of marketing campaigns and traffic sources. It involves adding specific parameters (AKA UTM) to the URLs of your marketing materials, such as ads, emails, or social media posts, before they are shared or distributed.

Answer 4

UTM parameters (Urchin Tracking Module), are added to the end of a URL and provide detailed information about the source, medium, campaign name, term and content. UTM tags: utm_source- Identifies the specific source of the traffic, such as Google, Facebook, newsletter, or a specific website. utm_medium- Describes the type of traffic, such as email, CPC (cost-per-click), social, or referral. utm_campaign- Specifies the name of the campaign or promotion associated with the link. utm_term (optional)- Optional parameter used to identify keywords associated with paid search campaigns. utm_content (optional)- Optional parameter used to differentiate between different versions of the same ad or link.

Answer 5

1) Measurement Protocol 2) Account linking

Answer 6

The Measurement Protocol is a feature of Google Analytics that allows you to send data from any web-connected device or system to your Google Analytics account. It provides a way to collect and send data to Google Analytics outside of traditional web tracking, such as from point-of-sale systems, mobile applications, kiosks, or any internet-enabled device. This requires you to construct and send hits in a URL string manually.

Answer 7

Account linking in Google Analytics refers to the process of connecting your Google Analytics account with other Google products or services to enhance data integration and analysis.

Answer 8

changes or additions to campaign-related data that occur when users interact with your website through various marketing activities.

Answer 9

- Campaign tagged URLs > Clicking on tagged URLs updates campaign data with details such as campaign, medium, source etc. - Search engine traffic > When users click on search engine results (organic and paid). - Referral traffic > clicking on links from other websites. - Google Ads autotagging > each click on a Google ads ad generates a unique identifier (GCLID) that updates the campaign data, attributing the visit to the corresponding ad campaign. - Other advertising platforms > Clicks on ads from other advertising platforms updates campaign data.

Answer 10

It is a unique parameter appended to the URL of a landing page when a user clicks on a Google Ads (formerly known as Google AdWords) advertisement. The gclid parameter serves as a tracking mechanism that helps Google Analytics identify and attribute website visits to specific ad clicks.

Answer 11

visits to the website where the user directly enters the website URL into the browser's address bar use a bookmark to access the site or clicks an untracked link in the email or document.

Answer 12

Direct traffic does not override existing, known campaign sources like search engines, referrals, or campaign-tagged information. EX: if a user arrives at a website through a tracked source and later returns directly, the original campaign is maintained.

Answer 13

Duration of inactivity after which a session is considered ended.

Answer 14

1) Amount and complexity of content: Evaluate the volume and complexity of content on your website. Websites with extensive content or complex features may warrant longer session timeouts to accommodate user exploration. 2) Alignment with website: Aligning the session timeout with the automatic logout timeframe ensures consistency. 3) Cross-device sessions: consider how users interact with your website across multiple devices.

Answer 15

session timeout cannot be set to less than 1 minute or more than 4 hours.

Answer 16

Automatic logout timeframe applies to user sessions across various systems and applications and focuses on security by automatically logging users out after a period of inactivity.

Answer 17

Campaign timeout refers to the duration for which campaign-related data is retained in G.A. It determines how long G.A. continues to attribute website visits and conversions to specific marketing campaigns.

Answer 18

Once the campaign timeout period expires, the attribution of user interactions to that campaign ends, and subsequent interactions are not credited to the original campaign. > users are then attributed to direct traffic not the campaign. Benefit: businesses can evaluate the impact of their marketing efforts more effectively. They can assess the performance of different campaigns, channels, and strategies and make data-driven decisions to optimize their marketing budget and resources.

Answer 19

1) Campaign duration: Set the campaign timeout to match the duration of your marketing campaigns. EX: if the campaign is for the weekends or a month-long, align the campaign timeout accordingly. 2) Relevance and analysis: the campaign timeout period affects how long you can analyse the performance of your marketing campaigns. If the timeout is too short, you might miss out on long-term trends and insights; too long and you end up with cluttered and irrelevant data.

Answer 20

Within the active period of the campaign.

Answer 21

Cannot exceed 2 years.

Answer 22

Admin > select account and property you want to edit > property column > tracking info> session setting> timeout handling

Answer 23

A conversion occurs when a user completes a predefined action or goal on a website that aligns with business objectives.

Answer 24

- Macro conversions - Micro conversions

Answer 25

high-value actions that signal significant user engagement and lead to tangible business outcomes like revenue. EX: Purchase completion, form submission, subscription sign-up, event registration

Answer 26

smaller actions that indicate progress or engagement towards a macro conversion. May not result in revenue. Valuable indicator of user intent and interest. EX: adding items to cart, downloading a resource, viewing multiple pages, social media interaction

Answer 27

An e-commerce website facilitates online transactions, where visitors purchase products or services directly from the website. EX: Purchase, add to cart, and check out initiation.

Answer 28

A lead generation website aims to capture information from visitors interested in a product or service, typically through contact forms, subscription forms, or gated content. EX: Form submission, email sign-up and download of resources.

Answer 29

Content websites focus on providing valuable information, entertainment, or resources to users, often monetized through advertising, subscriptions, or affiliate marketing. EX: Subscription, engagement metrics, social sharing.

Answer 30

A conversion is counted once per session per configured goal The statement indicates that when a user completes a configured goal during their session, it is counted as a single conversion event. Even if the user performs the same action multiple times within the same session, it will only be counted as one conversion for that particular goal.

Answer 31

Data configuration rules determine how your data will be processed.

Answer 32

- data filters - goals - data grouping - custom dimensions - custom metrics - imported data

Answer 33

Filters are settings applied to a view in Google Analytics to control or manipulate the data that appears in reports.

Answer 34

Goals are specific actions or achievements on your website or app that contribute to the success of your business. These actions, called conversions, represent completed activities that fulfill your objectives.

Answer 35

- Destination/ pageview: when a user lands on a specific page of the website. - Event: when a user performs a particular action. - Duration: Sessions that lasts a specific amount of time or longer - Pages/ screens per session: A user views a specific number of pages or screens

Answer 36

How much each goal completion is worth to your business.

Answer 37

In the context of Google Analytics, a "hit" refers to any interaction that is tracked on your website, such as a pageview, event, or transaction. Each time a user interacts with your site, whether it's loading a page, clicking a link, or submitting a form, it generates a hit. Google Analytics continuously monitors the incoming hits on your website. When a hit occurs that matches the criteria you've defined for a particular goal, Analytics recognizes it as a goal completion. For example, if a user lands on the thank-you page after making a purchase (as defined in your goal criteria), Analytics registers that hit as a completion of the corresponding goal.

Answer 38

Once a hit is matched with a goal, Google Analytics calculates various metrics related to that goal, such as the total number of completions, the value of those completions- goal value (if applicable), and the conversion rate (the percentage of sessions that resulted in goal completions).

Answer 39

After calculating the goal metrics, Google Analytics includes the data in various reports accessible within the platform, such as Goal Overview, Goal URLs, or Funnel Visualization.

Answer 40

It measures the percentage of visitors to a website who complete a desired action out of the total number of visitors. conversion rate= (no. of conversions/ no. of sessions)*100

Answer 41

Data grouping in Google Analytics refers to the process of organizing and categorizing data to make it more manageable and meaningful for analysis.

Answer 42

- Content grouping - Channel grouping

Answer 43

Content Grouping is a feature in Google Analytics that allows you to organize your website or app content into logical groups. This structure reflects how you think about your site or app and makes it easier to analyze and compare aggregated metrics for different sections of your content.

Answer 44

* Logical Structure: It helps you organize your content into meaningful groups that reflect the structure and organization of your website or app. * Comparison: You can compare aggregated metrics (such as pageviews or sales) for entire groups of content, rather than looking at individual pages or URLs. * Drill-down Capability: While you can see aggregated statistics for content groups, you can also drill down to view data for individual URLs, page titles, or screen names within each group.

Answer 45

Content Groupings are created at the view level in Google Analytics, under Admin > > Content Grouping.

Answer 46

1) Define groups. E.X: Men, Women and Children 2) Create sub-groups within the main group. 3) Assign content to groups using one of the 3 methods: * Group by tracking code. * Group using extraction * Group using rule definitions

Answer 47

Group by Tracking Code is a method used in Google Analytics to organize website or app content into logical groups by modifying the tracking code on each web page. This method allows you to specify which Content Group each piece of content belongs to, providing a structured way to analyze and compare aggregated metrics for different sections of your digital property.

Answer 48

Once you've identified your Content Groups, you modify the tracking code on each web page to include additional information that identifies the content's group membership. This modification is typically done within the Google Analytics tracking snippet that is included on every page of your site. Within the tracking code, you specify a content index number for each piece of content. This number represents the position of the content within its Content Group.

Answer 49

Group Using Extraction is a method within Google Analytics Content Grouping that allows you to automatically assign content to groups based on patterns found in URLs, page titles, or screen names.

Answer 50

* Pattern Recognition: With Group Using Extraction, you define regular expressions (regex) patterns that match specific characteristics or patterns in your content's URLs, page titles, or screen names. * Automatic Assignment: Google Analytics uses these regular expressions to automatically assign content to the appropriate groups based on the patterns identified. If a piece of content matches the defined pattern, it is grouped accordingly without manual intervention.

Answer 51

"Group Using Rule Definitions" is a method within Google Analytics Content Grouping that allows you to define rules to automatically assign content to groups based on specific criteria or conditions.

Answer 52

1) Creation of Rules: You create rules in the rules editor of Google Analytics. Each rule specifies conditions that content must meet to be assigned to a particular group. 2) Conditions: Conditions can be based on various attributes of the content, such as: * URL: The web address of the page. * Page Title: The title of the page as seen in the browser tab. * Screen Name: For mobile apps, the name of the screen viewed by the user. * Other attributes: Custom dimensions, metrics, or events. 3) Rule Criteria: You define criteria for each rule, such as: * Contains: Content must contain a specific word or phrase. * Equals: Content must exactly match a specified value. * Regular Expression (Regex): Content must match a pattern defined by a regex. * Begins with / Ends with: Content must start or end with a particular string. 4) Assignment of Content: When content matches the criteria defined in a rule, it is automatically assigned to the corresponding group. Content can be assigned to multiple groups if it meets the criteria of multiple rules.

Answer 53

Content Grouping is not retroactive, meaning that groups you create are only valid from the creation date forward.

Answer 54

After about 24 hours, you can see Content Grouping statistics in your reports. They are available in Content reports that offer Content Grouping as a primary dimension, and you can also use Content Group as a dimension in custom reports.

Answer 55

Channel grouping categorizes traffic sources into predefined or custom groups based on how users arrive at your website. This allows you to analyze the effectiveness of different marketing channels and campaigns in driving traffic and conversions.

Answer 56

It allows you to create a set of data that is unique to your business and then use it as a category in your reports.

Answer 57

- as a secondary dimension in standard reports - as a primary dimension in custom reports - use custom categories to create segments.

Answer 58

Additional data points or measurements that you can define and track in G.A. beyond the standard metrics provided.

Answer 59

It is a feature in G.A. that allows you to upload and merge offline data with data collected from G.A.

Answer 60

- Hit data: info about user interaction - Extended data stored in a custom dimension or metric - Summary data- aggregating metrics from multiple sources to provide high-level overview or analysis.

Answer 61

before data processing. Once data has been processed you can't apply configuration settings.

Answer 62

It is a subset of G.A. property that can have it's own unique configuration settings. > You can configure each view to show a different subset of data for the property.

Answer 63

An Internet Service Provider (ISP) is a company that provides users with access to the internet. It could be your cable company, telephone company, or a specialized internet provider.

Answer 64

Internal traffic refers to visits to your website from within your organization's network or from devices connected to the same network.

Answer 65

External traffic refers to visits to your website from sources outside of your organization's network.

Answer 66

An IP (Internet Protocol) address is a unique numerical label assigned to each device connected to a computer network. It serves as an identifier for communication between devices on the internet. Think of it like a phone number for devices on the internet.

Answer 67

Interaction between a user's web browser and a website's server. Types include event, pageview and transaction

Answer 68

Log files serve as a comprehensive record of all interactions between users (browsers or devices) and the web server. Hits are essentially the individual entries or records within log files.

Answer 69

1) Date and Time: The timestamp indicating when the request was made. 2) IP Address: The IP address of the client (user) making the request. 3) Request Method: The HTTP method used in the request (e.g., GET, POST). 4) Requested URL: The URL of the requested resource on the server. 5) HTTP Status Code: The status code returned by the server in response to the request (e.g., 200 for success, 404 for not found). 6) User-Agent: Information about the client's web browser or device. 7) Referrer: The URL of the referring page, if any. 8) Bytes Transferred: The number of bytes transferred in the request. 9) Server Response Time: The time taken by the server to process the request and generate a response.

Answer 70

1) Exclude/include only traffic from the ISP domain: Exclude or include only traffic from a specific domain, such as an Internet Service Provider (ISP) or a company network. Note: Specify the domain name without the host server label (e.g., use "example.com" instead of "www.example.com"). > You want to exclude this internal traffic to focus on genuine visitors. Conversely, if you're running a marketing campaign targeting users of a specific ISP, you might want to include only traffic from that ISP to gauge the effectiveness of your campaign. 2) Exclude/Include only traffic from the IP addresses: Google Analytics will exclude traffic originating from the specified IP address range. > Common reasons for filtering traffic by IP addresses include excluding internal traffic from company networks, blocking spam or malicious bots, and targeting analysis on specific geographic regions or service providers. 3) Exclude/Include only traffic to the subdirectories: You can choose to exclude or include only traffic to particular subdirectories, such as "/motorcycles" or "/help/content/faq". > If you want to analyze traffic only to certain parts of your website, you can set up this filter to isolate that traffic. 4) Exclude/Include only traffic to the hostname: This filter allows you to exclude or include only traffic to a specific hostname. It helps you focus your analysis on traffic coming from or going to particular subdomains or hostnames within your website. > Imagine you have a website with multiple subdomains, such as "sales.example.com" and "support.example.com." You want to analyze traffic to each subdomain separately to understand how users interact with different sections of your website.

Answer 71

1) Exclude: Its primary function is to remove or exclude certain data points from your analytics reports based on specified criteria. (allows for more customised exclusion of IP addresses) > Any data or hits originating from IP addresses within the specified range will be ignored or excluded from your analytics reports. This ensures that only external user traffic, representing actual customers visiting your website, is included in your analysis. 2) Include: Include filters are a type of filter used in web analytics tools like Google Analytics to focus on specific subsets of data. They allow you to include only the log file lines (hits) that match certain criteria in your analytics reports. 3) Lowercase / Uppercase: The purpose of this filter is to convert the contents of a specified field into either all uppercase or all lowercase characters. It helps standardize the format of the data within the selected field for consistency in reporting and analysis. 4) Search & Replace: The purpose of the Search & Replace filter is to modify or clean up data within a specific field by searching for a particular pattern and replacing it with another pattern. 5) Advanced: The purpose of the Advanced filter is to manipulate existing fields or combine them to create a new field with customized information.

Answer 72

1) Destructive Nature: Filters permanently modify incoming hits. Always maintain an unfiltered view for full data access. 2) Time Delay: Filters take up to 24 hours to apply. Changes won't reflect immediately. 3) Field Requirement: Fields in filters must exist and not be null in hits. Missing fields ignore filter conditions. 4) Account-Level Impact: When you edit a filter at the view level, it also affects the filter at the account level. Any changes made to a filter in one view will automatically apply to all other views that use the same filter. If you need to customize a filter for a specific view without affecting others, you'll need to create a new filter specifically for that view. 5) Post-Processing Application: Filters applied after data processing. Can't modify dimension scope. 6) Exclusion from Data Import: Filters not applied to product-scoped dimensions from data import. > Imported data remains unaffected by filters. if you've imported data into specific dimensions (such as product-related dimensions) using Data Import, any filters you set up won't modify or impact that imported data.

Answer 73

When you create a filter in Google Analytics to modify your data, you specify certain conditions that need to be met for the filter to apply. For example, you might create a filter to include only hits from a specific domain or to exclude hits from a particular IP address. Now, for that filter to actually work, it needs to look at specific pieces of information in each hit, like the domain name or the IP address. These pieces of information are called fields. So, if you create a filter that looks at the domain name of each hit, but some hits don't have that information, the filter won't do anything to those hits. It's like trying to use a filter to catch fish, but some of the fish don't have the right markings to be caught by the filter. In technical terms, if the fields specified in your filter don't exist in a hit or are empty (null), the filter won't be applied to that hit. It's like trying to apply a rule to something that doesn't have the necessary parts for the rule to work.

Answer 74

An alternative tracking method designed for Google Ads advertisers who lack enough conversions for automated bidding. Automatically evaluates visits and assigns scores to identify the best visits as "Smart Goals."

Answer 75

It can only be set for destination goals. A funnel is a series of steps or pages that users are expected to go through before reaching the final destination, which represents the completion of the goal. Each step in the funnel represents a page or screen that users should ideally visit in sequence.

Answer 76

* Every goal you create in Google Analytics is assigned a unique numeric identifier known as the Goal ID. * Goal IDs range from 1 to 20. * These IDs are used internally within Google Analytics to differentiate between different goals. * They help identify and track specific conversion actions on your website or app.

Answer 77

* Goal sets allow you to group related goals together for better organization and analysis. * Each goal set can contain up to 5 individual goals. * Grouping goals into sets makes it easier to categorize and manage your goals within Google Analytics.

Answer 78

1) Conversion > goals report 2) conversions > multi channel funnels 3) conversions > attribution 4) Acquisition reports

Answer 79

1) Limited to 20 goals per reporting view. To track more goals, create additional views or edit existing goals that are unnecessary. Apply only to data collected after the goal is set up. Goals are not applied to historical data. Cannot be deleted but can be stopped from recording data. Goal IDs and sets cannot be changed after you create them.

Answer 80

1) Use intuitive names for goals. 2) Assign goal values to help monetize and evaluate conversions. 3) Keep track of changes to avoid confusion in reports.

Answer 81

Channel Groupings in Google Analytics offer a way to organize and categorize your traffic data based on specific criteria, allowing for more customized analysis and reporting.

Answer 82

Default Channel Groupings are predefined sets of traffic sources that categorize user interactions into broad channels like organic search, paid search, direct, referral, etc.

Answer 83

Custom Channel Groupings allow users to define their own sets of traffic sources based on specific criteria or rules that they set.

Answer 84

1) Create a Custom Channel Grouping (User Level): Allows you to define your own channels based on criteria that suit your analysis needs. Custom Channel Groupings are visible only to the user who creates them. 2) Create a New Channel Grouping (View Level): Similar to Custom Channel Grouping but visible to all users of a specific view. Offers flexibility in defining channels based on the requirements of that view. 3) Edit the Default Channel Grouping (View Level): Provides the ability to modify the predefined channels at the view level. Changes affect how incoming traffic is labeled for new sessions in that view.

Answer 85

sign in to G.A. > Admin > select desired view > personal tools and assets- custom channel grouping > +new channel grouping > name grouping > +define a new channel > enter name and define rules > save

Answer 86

Only visible to the creator. Max: 100 per user

Answer 87

Visible to all users of that view. Steps: Sign in, Admin, view, Channel Settings, +New Channel Grouping, define channels, order them, save. Limit: Max 50 per view.

Answer 88

Promoting a Custom Channel Grouping to the view level in Google Analytics is a process that allows you to make a copy of a Channel Grouping that you've created at the user level and apply it to a specific view within your Analytics account. Promoting the Custom Channel Grouping to the view level extends its visibility and usability to all users with access to that particular view.

Answer 89

Editors. max. 50 channel groupings per view

Answer 90

Despite promoting the Channel Grouping to the view level, you still maintain control over the original Custom Channel Grouping created at the user level. This means that you can continue to make changes to the original Channel Grouping without affecting the promoted version in the view.

Answer 91

Sign in to G.A. > Admin > view > custom channel groupings > select copy, share or delete from the actions drop-down menu.

Answer 92

Editing allows you to customize how traffic is categorized, defining new channels or modifying existing ones to better suit your analysis needs.

Answer 93

Changes made are permanent and affect how Analytics classifies traffic. They're visible to all users but don't apply retroactively to historical data.

Answer 94

You can click "Reset channels," but note that it won't change historical data, only new sessions going forward.

Answer 95

MCF stands for Multi-Channel Funnels. It's a feature in Google Analytics that helps you understand the full customer journey by tracking interactions across multiple channels and touchpoints leading to conversions.

Answer 96

In Google Analytics, Multi-Channel Funnels (MCF) help you understand the various touchpoints or interactions users have before they convert on your website. This includes interactions with different marketing channels like organic search, paid search, social media, etc.

Answer 97

Channel Groupings in MCF help analyze the paths users take before converting, categorizing touchpoints into channels like organic search, paid search, direct, etc. These groupings help you analyze the contribution of different channels to conversions.

Answer 98

The default Channel Grouping used in the Multi-Channel Funnels report is called the Default MCF Channel Grouping. This grouping categorizes user touchpoints into different channels such as organic search, paid search, direct, referral, and others to help you understand the customer journey leading to conversions.

Answer 99

Yes, each user can make up to 100 Custom Channel Groupings, and each view can hold a maximum of 50 Channel Groupings excluding the default.

Answer 100

They use filtered dimension values, meaning if you change how data appears with a view filter, it affects how sessions are categorized into channels.

Answer 101

A channel definition refers to the criteria used to categorize incoming traffic into different channels within Google Analytics. These criteria typically include various dimensions such as source, medium, campaign, and other user interactions. Each channel definition specifies rules for classifying sessions based on specific attributes or behaviors of the incoming traffic.

Answer 102

They use filtered dimension values, meaning if you change how data appears with a view filter, it affects how sessions are categorized into channels. EX: If you change a campaign name from "Campaign A" to "Campaign B" with a filter and include "Campaign B" in a channel definition, sessions from clicks on "Campaign A" will now be grouped under "Campaign B."

Answer 103

Cost data refers to the expenses associated with each marketing channel. For example, how much you spend on advertising for paid search campaigns or social media ads.

Answer 104

Cost data tells you how much money you've spent on different marketing channels, like advertising on Google Ads or promoting posts on social media. It helps you understand the return on investment (ROI) for each channel.

Answer 105

Some dimensions in Google Analytics don't include information about how much money you've spent. EX: Let's say you have a dimension called "Social Media Source" that shows which social media platform users are coming from (e.g., Facebook, Twitter, Instagram). This dimension doesn't include cost data, so you can't see how much money you've spent on ads for each platform.

Answer 106

When you create Channel Groupings in Google Analytics, you might use these dimensions to classify your traffic sources. if you're using dimensions in your Channel Groupings that don't track costs, you won't be able to see how effective your spending is on those specific channels. It's like trying to budget for your marketing efforts without knowing how much you're actually spending on each advertising platform. Scenario: If you create a Channel Grouping called "Social Media Channels" and include all traffic from social media platforms, Google Analytics won't be able to tell you how much money you've spent on ads for each platform within that grouping.

Answer 107

These are advertising platforms offered by Google that allow advertisers to manage and optimize their campaigns across various channels like display, video, and search.

Answer 108

Dimensions are attributes or parameters used to segment and analyze data. In the context of advertising platforms, dimensions can include things like campaign names, ad groups, keywords, etc.

Answer 109

The dimensions available in Campaign Manager 360, Display & Video 360, and Search Ads 360 are not automatically included in the Default Channel Groupings provided by Google Analytics.

Answer 110

Users have the flexibility to create Custom Channel Groupings where they can include dimensions from these advertising platforms. This means they can define their own channels based on the specific attributes or parameters provided by these platforms. This allows for more granular analysis and reporting on the effectiveness of their advertising campaigns across different channels.

Answer 111

* The Channels Report in Google Analytics shows how traffic to your website is categorized into different channels such as organic search, paid search, direct, referral, etc. * Google Ads Reports provide insights into the performance of your Google Ads campaigns, including metrics like clicks, impressions, conversions, and more.

Answer 112

Dimension values in Google Ads Reports are specific attributes or characteristics of your ad campaigns, such as campaign names, ad group names, keywords, and more. These values provide context and details about your campaigns.

Answer 113

Once traffic from Google Ads campaigns has been categorized into specific Channel Groupings based on certain dimension values (such as campaign names), those categorizations remain unchanged historically, even if the dimension values associated with Google Ads campaigns change in the future. E.X: Initial Google Ads Campaign Setup: You launch a Google Ads campaign named "Outdoor Adventure Sale" targeting keywords related to hiking and camping gear. Over the course of a month, this campaign drives a significant amount of traffic to your website, resulting in numerous conversions. Dimension Value Change: After a month, you decide to rename your Google Ads campaign from "Outdoor Adventure Sale" to "Spring Camping Gear Sale" to better reflect the season. You make this change directly in your Google Ads account. Analysis in Channels Report: In your Google Analytics Channels Report, you notice that traffic from the "Outdoor Adventure Sale" campaign is still being categorized under the same Channel Grouping, despite the campaign name change. Conversions and other metrics attributed to this channel continue to accumulate under the original name, "Outdoor Adventure Sale." Google Ads Reports: However, when you check your Google Ads Reports, you see the updated campaign name reflected as "Spring Camping Gear Sale," indicating that the change has been implemented in Google Ads. The metrics in Google Ads Reports accurately reflect the performance of the campaign under its new name.

Answer 114

Regular expressions, often abbreviated as regex, are powerful tools for pattern matching in strings. They allow you to define search patterns using symbols and characters to match specific text patterns within a larger body of text.

Answer 115

In the context of Channel Groupings in Google Analytics, regular expressions are used to define rules for categorizing traffic based on specific criteria. By default, when you define a rule using a string in Channel Grouping definitions, it's treated as a full match. This means it only matches the exact string you provide. Example: Let's say you want to define a channel to include traffic from campaigns containing the term "January." If you specify the rule as "January," it will only match sessions where the campaign exactly matches "January." Using . to Enable Regular Expression Behavior:* To make the Channel Grouping editor interpret the rule as a regular expression search instead of a full match, you can add .* at the beginning and end of the string. This wildcard symbol .* represents any sequence of characters (including none). It allows for more flexible matching of patterns within the string. Continuing the Example: If you want to include traffic from campaigns containing the term "January," such as "January1," "2ndJanuary," or simply "January," you would define the rule as .*January.*. This pattern will match any campaign name that contains the substring "January," regardless of what comes before or after it.

Answer 116

If you need to make a specific match, you can construct your regular expression accordingly. For instance, if you want to match only the exact string "site," you would use ^site$, where ^ indicates the start of the string and $ indicates the end.

Answer 117

Rich media refers to digital advertising that includes advanced features like video, audio, or interactive elements beyond standard static images or text. Examples include expandable banners, interactive ads, and video ads that offer more engaging experiences for users.

Answer 118

Impressions in digital advertising refer to the number of times an ad is displayed or shown to users. Each time an ad appears on a webpage or within an app, it counts as one impression, regardless of whether the user interacts with the ad. Impressions are a key metric for measuring the reach and visibility of advertising campaigns.

Answer 119

Custom dimensions are additional attributes or characteristics that you can assign to your data in Google Analytics to provide more context and insights. They allow you to collect and analyze data beyond the default dimensions provided by Google Analytics.

Answer 120

Custom metrics are numerical values that you define to track specific interactions, behaviors, or events on your website or app. They enable you to measure and analyze data points that are not covered by the standard metrics in Google Analytics.

Answer 121

CRM stands for Customer Relationship Management. It refers to a technology system or strategy that businesses use to manage their interactions and relationships with current and potential customers. A CRM system typically stores and organizes customer data, including contact information, interactions, purchases, and preferences, in a centralized database.

Answer 122

* CRM Integration: Custom dimensions can be used to enrich Analytics data with CRM data, enabling deeper analysis and segmentation based on customer attributes. * Game Development: For game developers, custom metrics can track in-game events such as level completions or high scores, which are more relevant than standard metrics like pageviews. This allows developers to monitor progress and performance against key objectives.

Answer 123

Custom dimensions and metrics are assigned an index number, which serves as their unique identifier within Google Analytics.

Answer 124

* Indices Limit: Each property has a limit of 20 indices available for custom dimensions and 20 indices for custom metrics. This indicates the maximum number of custom dimensions and metrics you can create and use within your property. * Deletion and Disabling: Custom dimensions cannot be deleted but can be disabled. Once a custom dimension is created, it becomes a permanent part of your property configuration. * Reporting constraints: Certain custom dimensions may not be usable in reporting when combined with demographic information. This limitation can result in thresholding or incompatibility issues in reporting or with the API when requesting custom dimensions along with demographic data.

Answer 125

The reason to avoid reusing custom dimensions is simple: it prevents confusion in your data analysis. When you reuse a custom dimension by changing its name, scope, or value, both the old and new configurations can be paired in your reports. This means that data collected using the old configuration will be mixed with data collected using the new configuration. As a result, it becomes challenging to accurately interpret and analyze your data, leading to potential inaccuracies in your reports. E.X: Custom Dimension: A custom dimension named "Purchase Channel" tracks the channel through which purchases are made (e.g., Direct, Organic Search, Paid Search). Usage: Over time, the website decides to change the definition of the "Purchase Channel" custom dimension to include additional channels or rename existing ones. Consequences: By editing the existing "Purchase Channel" custom dimension, both the old and new definitions are paired in reports. This may lead to confusion in analyzing purchase behavior across different channels, as data from before and after the change are combined.

Answer 126

1) Configuration: you define your custom dimensions and metrics with an index, a name, and other properties like scope. 2) Collection: act of automatically gathering data from your website or app and sending it to Google Analytics for analysis. 3) Processing: the data collected with custom dimensions and metrics is processed by Google Analytics servers. 4) Reporting: you build new reports using your custom dimensions and metrics in the Analytics user interface.

Answer 127

Scope defines the level at which the custom dimension or metric is applied, such as hit-level, session-level, or user-level.

Answer 128

1) Name: Specifies the name of the custom dimension as it will appear in your reports, helping you identify and analyze specific aspects of user behavior or website content. 2) Scope: Determines the scope or context in which the custom dimension will be applied. It specifies the level of data aggregation, such as hit, session, user, or product scope. 3) Active: Indicates whether the custom dimension will be processed. Inactive dimensions may still appear in reporting but will not have their values processed.

Answer 129

1) Name: Defines the name of the custom metric as it will appear in your reports, providing a clear label for the data being measured. 2) Determines how the custom metric value will be displayed in reports, such as currency, time, or integer. 3) Minimum/ Maximum values: Specifies the range of acceptable values for the custom metric. Values outside this range may not be processed or displayed accurately. 4) Active: Indicates whether the custom metric value will be processed. Inactive metrics may still appear in reporting but will not have their values processed.

Answer 130

Once a custom dimension or metric is defined, it's advisable to avoid editing the name or scope whenever possible. Changes to these values can impact your reporting and may require adjustments in your implementation.

Answer 131

* When sending custom dimensions or metrics to Analytics, we use a pair of parameters: the index and the value. * custom dimensions and metrics are sent as parameters attached to other hits, such as pageviews, events, or ecommerce transactions. (It is not tracked independently) E.X: Suppose we want to track the user's membership level on a website. We would set up a custom dimension for "Membership Level." Then, whenever we send a pageview hit or event hit, we include the membership level information as a parameter along with the hit.

Answer 132

* Integer * Time * Currency

Answer 133

Determines where the custom dimension values will be applied (e.g., to hits, sessions, or users).

Answer 134

1) Product-level Scope: This scope applies the custom dimension value only to the specific product with which it's associated (Enhanced Ecommerce only). 2) Hit-level Scope: Custom dimension values are applied only to the single interaction (hit) with which they are set. 3) Session-level Scope: Custom dimension values are applied to all interactions (hits) within a single session. 4) User-level Scope: Custom dimension values persist across all sessions for a specific user until the value changes or the dimension is made inactive.

Answer 135

Custom dimension and metric values are tied to the hit (user interaction) with which they were received, regardless of their scope. This means that each hit carries its associated custom dimension and metric values.

Answer 136

If a hit is filtered by a view filter, both custom dimensions with hit scope and all custom metrics associated with that hit will be filtered as well. In other words, if the hit is excluded by a filter, its associated custom dimensions and metrics are also excluded from the reporting.

Answer 137

Custom dimensions with session or user scope, however, are not affected by view filters applied to individual hits. Even if the hit they were attached to is filtered out, these dimensions' values will still be applied to all hits in the current session. Additionally, for user-scoped dimensions, their values will persist into future sessions for that user, unaffected by the filtering of the hit that initially set them.

Answer 138

Reporting is the stage in the data processing pipeline where collected and processed data is presented to users for analysis and insights.

Answer 139

* Custom Reports: Users can create custom reports using custom dimensions and metrics, allowing them to analyze data tailored to their specific needs and objectives. * Advanced Segments: Custom dimensions and metrics can be used to create advanced segments, which enable users to isolate and analyze specific subsets of data for deeper insights. * Secondary Dimensions: Custom dimensions can also be used as secondary dimensions in standard reports, providing additional context and granularity to the data presented in those reports.

Answer 140

After you've configured your Google Analytics account with settings such as filters, goals, and enhanced ecommerce, the data collection process begins. Once data is collected, Google Analytics transforms it into dimensions and calculates associated metrics.

Answer 141

Google Analytics stores transformed data in aggregate database tables. Each dimension has its own table for fast retrieval of data when generating reports. For example, there may be separate tables for dimensions like location, device type, and browser type.

Answer 142

* Google Analytics reports consist of dimensions and their associated metrics. * Each report focuses on a single dimension, and metrics are displayed for each value of that dimension. * Reports typically use rows for dimensions and columns for metric data, providing a structured view of the data. * Configuration settings such as goals or enhanced ecommerce metrics are included in reports when relevant.

Answer 143

* Aggregate/ Overview totals: These metrics are displayed as summary statistics for your entire site, such as bounce rate or total pageviews. * Specific to dimensions: Metrics can also be qualified by selected dimensions, providing more specific insights into user behavior. For example, analyzing "Time on Site" via the "New User" dimension can reveal differences in behavior between new and returning users.

Answer 144

Aggregate metrics represent total values across all dimensions without considering any specific attributes. Examples: Total sessions, total users, total pageviews, total revenue, etc. Calculation: Aggregate metrics are calculated by summing up the corresponding values across all data points in the dataset. Purpose: Aggregate metrics provide an overview of overall website performance or specific aspects without segmenting the data by dimensions.

Answer 145

Metrics specific to dimensions focus on particular attributes or characteristics (dimensions) of user interactions. Examples: Sessions per country, new users per device type, pageviews per landing page, revenue per traffic source, etc. Calculation: These metrics are calculated based on the values of the associated dimensions. For each dimension value, the metric is calculated individually. Purpose: Metrics specific to dimensions allow for deeper analysis and segmentation of data, providing insights into how different attributes impact user behavior and website performance.

Answer 146

Storing data in aggregate tables allows Google Analytics to retrieve information quickly when generating reports.

Answer 147

Time on Page=Timestamp of Next Pageview−Timestamp of Current Pageview This measures the duration a user spends on a specific page before navigating to another page.

Answer 148

Pages per Session= total uniques pageview hits/ total sessions This metric indicates the level of engagement or browsing activity within a single session.

Answer 149

Average session duration= sum of time spent in sessions/ total sessions It provides insights into the overall duration of user sessions on the website.

Answer 150

Bounce rate= (No. of single interaction sessions/ total sessions)*100 Calculated by identifying users who only interact with a single page on the site without engaging further. If a user exits the site after viewing only one page, it's considered a bounce.

Answer 151

* Hit-level * Session-level * User-level

Answer 152

Hit-level dimensions or metrics pertain to individual interactions or hits on the website. Each hit represents a specific action taken by a user, such as loading a page, clicking a link, or triggering an event. Example: A hit-level dimension could be "Page Title," which provides information about the title of the webpage accessed by the user during a particular interaction. * Hit-level dimensions or metrics capture data at a granular level, reflecting the details of each user interaction. * These dimensions or metrics are valuable for analyzing specific user behaviors, interactions with content, or events triggered during a session.

Answer 153

Session-level dimensions or metrics encompass data that applies to the entirety of a user's session on the website. A session begins when a user accesses the site and ends after a period of inactivity or upon session expiration. Example: The total number of sessions is a session-level metric, representing the count of distinct sessions initiated by users on the website. * Session-level dimensions or metrics provide insights into user engagement and behavior within a single browsing session.

Answer 154

User-level dimensions or metrics pertain to individual users across multiple sessions. They track the behavior and interactions of unique users over time, regardless of the number of sessions initiated. Example: The total number of users is a user-level metric, indicating the count of distinct individuals who have visited the website within a specified timeframe. * User-level dimensions or metrics offer insights into the long-term engagement and interactions of individual users with the website. * These dimensions or metrics help analyze user retention, frequency of visits, and patterns of behavior across multiple sessions, providing valuable information for audience segmentation and targeting.

Answer 155

The data collection limit refers to the maximum number of hits, such as pageviews and events, that can be sent to Google Analytics per month as per the Analytics Terms of Service.

Answer 156

If your property surpasses the hit volume limit, a warning may appear in the user interface, it can lead to data processing issues, and access to reports may be restricted.

Answer 157

You have options such as upgrading to Google Analytics 360, sending fewer hits by setting a sample rate or removing extra tracking calls, or upgrading to Google Analytics 4.

Answer 158

Data processing latency refers to the time it takes for data to be processed and reflected in Analytics reports.

Answer 159

For standard accounts, processing latency is typically 24-48 hours. However, if your account sends more than 200,000 sessions per day, reports may be refreshed only once a day, leading to delays of up to two days.

Answer 160

Intra-day processing refers to the frequency at which data is processed and reflected in Analytics reports within a single day.

Answer 161

You need to reduce the number of sessions your account sends to less than 200,000 per day.

Answer 162

Google Analytics 360 offers a higher hit volume allowance, a Service Level Agreement (SLA), and technical support.

Answer 163

Google Analytics 4 provides unlimited reporting for up to 500 distinct events and can be used for both web and app data.

Answer 164

Not every metric can be combined with every dimension because each dimension and metric has a scope: user-level, session-level, or hit-level. It generally makes sense to combine dimensions and metrics that share the same scope. For example, "Sessions" is a session-based metric, so it can only be used with session-level dimensions like "Source" or "City."

Answer 165

Attribution models are methods used to figure out which marketing efforts or touchpoints are responsible for driving desired actions, like purchases or sign-ups. They help businesses understand which channels or ads are most effective in getting customers to take action.

Answer 166

1) Per Request Attribution 2) Page Value Attribution 3) Site Search Attribution

Answer 167

This attribution model provides aggregate values for a single metric or for a metric/dimension pairing. Purpose: It's the most common and simplest type of attribution, providing straightforward insights into user behavior without complex calculations.

Answer 168

Page value attribution assesses the usefulness of a page in relation to a goal or revenue value. Purpose: It helps attribute value to specific pages by considering the goals or purchases that occur after a user visits those pages. Example: Suppose a user visits several pages on an e-commerce website before making a purchase. Page value attribution would assign credit to each page based on the revenue generated from the purchase that followed the visit to that page.

Answer 169

This model allows Site Search reports to display goal conversion rates and goal values per search term. Purpose: It attributes transactions or goals to the search term immediately preceding the goal or transaction, providing insights into the effectiveness of internal site search. Example: If users frequently search for specific terms on a website and then proceed to complete a goal, such as making a purchase, site search attribution would credit the search term with contributing to that goal completion.

Answer 170

Sampling thresholds in the context of Google Analytics refer to the conditions under which data sampling is applied to your analytics data.

Answer 171

Ad-hoc queries refer to custom queries or modifications made to default reports. This can include applying segments, filters, or creating custom reports with specific combinations of dimensions and metrics.

Answer 172

Sampling thresholds dictate when sampling may be applied to data in Google Analytics based on the level of data volume.

Answer 173

No, default reports are not subject to sampling. They quickly deliver unsampled results by querying aggregated data tables.

Answer 174

Ad-hoc queries, which involve modifications to default reports like applying segments or filters, may be subject to sampling based on the number of sessions for the selected date range.

Answer 175

For Analytics Standard, sampling is applied if the number of sessions exceeds 500,000 at the property level.

Answer 176

For Analytics 360, sampling is applied if the number of sessions exceeds 100 million at the view level.

Answer 177

Ad-hoc queries involving events, custom variables, and custom dimensions and metrics are subject to sampling if the threshold of 1 million sessions is exceeded.

Answer 178

Historical data in Google Analytics is limited to up to 14 months on a rolling basis. The limit on historical data in Google Analytics is up to 14 months on a rolling basis. This means that you can access data for the past 14 months from the current date. As time progresses, older data is continuously replaced by newer data, maintaining a window of 14 months of historical data at any given time.

Answer 179

Sampling is applied under specific circumstances: * Default reports are generally not sampled, except if they include data from before the report was added or before a metric calculation changed. * Ad-hoc queries, which involve modifications to default reports or the creation of custom reports with unique combinations of dimensions and metrics, may be subject to sampling.

Answer 180

Sampling is triggered in ad-hoc reports when modifications are made to default reports or when custom reports with different dimensions and metrics are created.

Answer 181

The sampling algorithm selects a sample of data that is proportional to the daily distribution of sessions for the specific property and date range used in the query.

Answer 182

The sampling algorithm in Google Analytics is designed to efficiently manage large datasets while still providing meaningful insights. When sampling is applied to a dataset, the algorithm doesn't just randomly select a portion of the data. Instead, it carefully selects a sample that is representative of the overall dataset. Here's how the sampling algorithm works: 1) Proportional Selection: The algorithm ensures that the sample is proportional to the daily distribution of sessions for the specific property and date range used in the query. This means that it takes into account the distribution of sessions across different days within the selected date range. 2) Property and Date Range Specific: The sample is tailored to the particular property (website, app, etc.) being analyzed and the time period (date range) specified in the query. By considering these factors, the algorithm ensures that the sampled data accurately reflects the activity on the property during the specified time frame. 3) Representative Sample: By selecting a sample that mirrors the daily distribution of sessions, the algorithm aims to create a representative subset of the data. This allows analysts to draw meaningful conclusions and insights from the sampled data without needing to analyze the entire dataset.

Answer 183

When sampling is in effect, a message displaying the sampling percentage is shown at the top of the report. Users can choose between greater precision or faster response by selecting appropriate sampling controls.

Answer 184

No, Multi-Channel Funnels Reports are not subject to default sampling.

Answer 185

Multi-Channel Funnels Reports may become subject to sampling if the report is modified, triggering sampling to ensure meaningful data representation.

Answer 186

When Multi-Channel Funnels Reports are subject to sampling, a maximum of 1 million conversions will be returned.

Answer 187

Flow-Visualization Reports are generated from a maximum of 100,000 sessions for the selected date range.

Answer 188

Insights from Flow-Visualization Reports may differ slightly from default reports due to the smaller sample size used in generating these reports.

Answer 189

Sampling occurs at the view level after view filters have been applied.

Answer 190

Segments are applied after sampling, meaning any segment applied will be based on the sampled data rather than the full dataset.

Answer 191

Sampling ensures that even with large datasets, meaningful insights can be drawn from a representative subset of data.

Answer 192

Users can switch between a maximum sample size for a more precise report or a smaller sample size for faster response to queries.

Answer 193

Users can sometimes avoid sampling by shortening the date range of the report, especially if the number of sessions falls below the sampling threshold.

Answer 194

Google Analytics 360 users can download unsampled reports for single-use or build custom tables for ongoing reporting.

Answer 195

Using a maximum sample size provides a more precise report by utilizing a larger portion of the data, resulting in a more accurate representation of the dataset.

Answer 196

Shortening the date range of a report can sometimes help avoid sampling by reducing the amount of data being analyzed, potentially bringing it within the unsampled range.

Answer 197

While shortening the date range can prevent sampling, it may limit the scope of analysis and overlook long-term trends or patterns that are only visible over extended periods.

Answer 198

Downloading unsampled reports allows Google Analytics 360 users to obtain comprehensive insights without being constrained by sampling limitations, providing a complete view of the data without compromises.

Answer 199

Custom tables provide Google Analytics 360 users with a way to structure and organize data according to specific requirements, allowing for in-depth analysis and visualization while bypassing sampling constraints.

Answer 200

A measurement plan is a strategic document that outlines how you will use analytics tools, such as Google Analytics, to track and measure the performance of your website or digital properties in relation to your business objectives. A measurement plan is a way for you to align your business objectives with your Google Analytics configuration settings.

Answer 201

Defining the micro and macro conversions for your business.

Answer 202

* Business objectives * Strategies supporting the business * Tactics to achieve strategies * Key Performance Indicators (KPIs) for each tactic to measure macro and micro conversions. * Goals and conversions

Answer 203

* Documentation: A measurement plan serves as documentation of the data crucial to your business. * Alignment: It aligns business objectives with analytics configurations, ensuring that you track metrics relevant to your goals effectively.

Answer 204

1) Business objectives 2) Strategy- to achieve objective 3) Tactics (could be multiple) 4) Key performance indicators (metrics)- to measure the tactics. 5) Segments (Dimensions)- to view and contextualise KPIs.

Answer 205

An account in Google Analytics serves as a container for one or more properties and views. It is assigned a unique ID, which ensures that tracking data is sent to the correct Analytics account.

Answer 206

When you create an account in Analytics, the account is provided with a unique ID. This ID is part of the tracking code that inserted in the source code for your site or app. For example, if the tracking code for your site uses the property ID UA-10876-1, the account ID is the central number 10876.

Answer 207

Users can switch between different Organizations or Accounts within the Admin area using the account selector, eliminating the need for separate sign-ins.

Answer 208

A property represents a unique entity, such as a website, mobile app, or device, within an Analytics account. It has a unique Property ID appended to the Analytics ID to associate hits with the corresponding property.

Answer 209

Cross-domain tracking allows you to track related websites in a single property by modifying the Analytics tracking code on every page of each site.

Answer 210

Roll-up reporting, available to Analytics 360 customers, aggregates data from multiple properties into a new combined property. It enables users to analyze data from different properties together.

Answer 211

Administrators can create different views for each department within a business and grant access to members accordingly. Views can be customized using filters to focus on specific data subsets.

Answer 212

An account can have up to 2,000 properties, each with up to 25 views.

Answer 213

Establishing a master view with no filters to retain all historical data.

Answer 214

It collects all data for a property without filters.

Answer 215

* Roll-up reporting aggregates data from multiple Analytics web and app properties into a single property. * It allows you to combine data from various websites, apps, or internet-connected devices for comprehensive analysis. * It is a feature available only in Analytics 360

Answer 216

1) Source properties 2) Roll-up properties

Answer 217

* Source Properties are individual Analytics properties that contain data from a single website, app, or internet-connected device. * Source Properties focus on collecting and storing data specific to a single entity, such as a website, mobile app, or internet-connected device.

Answer 218

* Roll-Up Properties serve as aggregators of data from multiple Source Properties. * Roll-Up Properties consolidate data from multiple Source Properties into a single entity for unified reporting and analysis.

Answer 219

1) Web and App Properties Data: Roll-Up Properties can aggregate data from both websites and mobile applications. This means that metrics and dimensions from both web and app properties can be combined for analysis within Roll-Up reports. 2) Data Uploaded via Measurement Protocol: The Measurement Protocol allows you to send data directly to Google Analytics from internet-connected devices, such as IoT devices or backend servers. Roll-Up Properties can include data that is uploaded using this protocol, enabling the aggregation of data from various sources.

Answer 220

1) Imported Data: Imported data refers to data that is manually uploaded into Google Analytics, typically through CSV or Google Sheets. Roll-Up Properties do not include this type of data, meaning that manually imported data is not aggregated into Roll-Up reports. 2) Data Linked to Source Properties: Data linked to Source Properties includes information from platforms like Google Ads, AdMob, AdSense, and YouTube that are linked to individual Analytics properties. Roll-Up Properties do not automatically include data from these linked sources.

Answer 221

Session merging refers to the process of combining session data from users identified by the same Client-ID or User-ID across different Source Properties.

Answer 222

Client-ID is a unique identifier automatically assigned by Google Analytics to each user's browser when they visit a website. It is stored in a first-party cookie and is used to track user interactions within a single browsing session.

Answer 223

User-ID is a unique identifier assigned to users who are logged into a website or app. It allows Google Analytics to track user behavior across multiple sessions and devices, providing a more comprehensive view of user engagement. Enables cross-device tracking and analysis.

Answer 224

By default, Google Analytics merges session data from users identified by the same Client-ID or User-ID across different Source Properties.

Answer 225

Session timeout settings determine the duration of inactivity after which a session is considered ended. If a user remains inactive beyond the session timeout threshold while navigating between Source Properties, Analytics may interpret the interactions in each Source Property as separate sessions in the Roll-Up Property.

Answer 226

1) Roll-Up Properties and Source Properties must belong to the same Analytics 360 account: to have a unified view of performance metrics. 2) Service level for each Source Property must be set to 360: To be eligible for Roll-Up Reporting, each Source Property must have a service level set to 360, indicating that it is part of the Analytics 360 suite. 3) Roll-Up Properties require no additional tagging for setup: Unlike regular properties in Google Analytics, which require the implementation of tracking codes on each website or app to collect data, Roll-Up Properties do not require any additional tagging for setup. This means that you do not need to manually add tracking codes or tags to your websites or apps specifically for the Roll-Up Property.

Answer 227

Roll-Up Properties are created by the Google Analytics 360 Support team.

Answer 228

To initiate the creation process, you need to provide specific information to the support team. This includes: * Company Name: The name of the organization or company associated with the Google Analytics account. * Account Number: The unique identifier for the Analytics account where the Roll-Up Property will be created. * Time Zone: The time zone setting for the Roll-Up Property. This ensures that data is recorded and displayed accurately based on the specified time zone. * Default Hostname: The default hostname for the Roll-Up Property. This typically refers to the primary domain or website URL associated with the aggregated data. * Number of Roll-Up Properties: Specify the desired number of Roll-Up Properties to be created. This depends on the scope and complexity of the data aggregation requirements.

Answer 229

Source Properties can be managed in Analytics Admin under the "Property > Roll-Up Management" section.

Answer 230

Each Roll-Up Property can aggregate data from a maximum of 200 source properties.

Answer 231

Google Analytics offers a free tier for tracking website and app data, but there are limits to the number of hits that can be processed within this free tier. When an organization exceeds these limits, they may incur additional charges based on the volume of hits processed.

Answer 232

Hits processed by Roll-Up Properties are counted separately and as 0.5 (half) of a hit towards the organization's monthly billable hit volume.

Answer 233

* Multi-Currency Support is a feature in Google Analytics that allows you to track and report monetary transactions in different currencies. * When Multi-Currency Support is implemented in Source Properties (individual Analytics properties), each transaction is recorded with its respective currency code.

Answer 234

* If Multi-Currency Support is enabled in Source Properties, currency data recorded in those properties will be converted to the currencies set for Roll-Up Property views. * This means that when data from multiple Source Properties is aggregated in a Roll-Up Property, all currency values are converted to the standardized currency configured for the Roll-Up Property.

Answer 235

Remarketing Audiences are groups of users who have previously interacted with your website, app, or other digital assets and are targeted with specific advertising campaigns to encourage them to return and complete a desired action, such as making a purchase or signing up for a newsletter.

Answer 236

Remarketing Audiences can be generated using data aggregated from Roll-Up Properties.

Answer 237

Remarketing and Advertising Reporting Features must be enabled for the associated Source Properties.

Answer 238

Ads personalization settings are crucial because they determine which data can be used to create remarketing audiences. Imagine ads personalization settings as a gatekeeper controlling access to data. If the gate is open (personalization enabled), data flows freely for remarketing purposes. If the gate is closed (personalization disabled), certain data is blocked from being used.

Answer 239

Cross-domain measurement, also known as site linking, is a feature in Google Analytics that allows the tracking of user interactions across multiple related websites as a single session. This feature is particularly useful for scenarios where there are multiple domains or subdomains involved, such as an ecommerce website and a separate shopping cart website hosted on different domains.

Answer 240

Without cross-domain measurement, each website or domain is treated as a separate entity by Google Analytics. Interactions between different domains are counted as separate sessions, even if they involve the same user.

Answer 241

Enabling cross-domain measurement requires special configuration settings in Google Analytics. This typically involves modifying the Analytics tracking code and adding additional parameters to ensure that sessions are properly linked across domains.

Answer 242

Marketers benefit from cross-domain measurement by gaining a better understanding of user behavior, conversion paths, and the effectiveness of marketing campaigns that span multiple domains.

Answer 243

Predefined filters are pre-configured options in Google Analytics that you can select to include or exclude specific data based on predefined criteria. These criteria can include traffic from ISP domains, IP addresses, subdirectories, or hostnames.

Answer 244

Custom filters provide more flexibility and control over your data. You can create custom filters to include or exclude hits based on specific conditions, format data to lowercase or uppercase, and search and replace data collected in the hit. Custom filters allow you to tailor your data collection to meet your specific reporting needs.

Answer 245

1) Include filters: Include filters are used to include only specific hits or data in your reports. 2) Exclude filters: Exclude filters, on the other hand, are used to exclude specific hits or data from your reports. 3) Lowercase and uppercase filters: These filters will force the case to all lowercase or all uppercase, thus eliminating duplicate data.

Answer 246

* Advanced filters allow you to perform more complex data manipulation using regular expressions (regex). * Regular expressions are patterns of characters that allow you to identify and match text strings. * With advanced filters, you can remove, replace, or combine filter fields in sophisticated ways using regular expressions.

Answer 247

The Advanced Filter feature allows users to create custom fields for reporting by combining information from one or two existing fields using POSIX regular expressions.

Answer 248

The Advanced Filter takes up to two fields, referred to as Field A and Field B. It applies two expressions, Extract A and Extract B, to these fields, utilizing POSIX regular expressions for pattern matching.

Answer 249

* . (Dot): Matches any single character. * (Asterisk): Matches zero or more of the previous item. * + (Plus): Matches one or more of the previous item. * ? (Question Mark): Matches zero or one of the previous item. * () (Parentheses): Captures contents of parentheses as an item. * [] (Square Brackets): Matches one item in the list. * - (Hyphen): Creates a range in a list. * ^ (Caret): Matches to the beginning of the field. * $ (Dollar Sign): Matches to the end of the field. * \ (Backslash): Used to escape any of the above special characters. | (Pipe): Represents "or" condition.

Answer 250

Users can specify whether the output field should override existing fields, how to handle cases where expressions do not match, and whether the data must match strings with exact capitalization.

Answer 251

"Filter Fields" are the parameters or criteria you can use to filter and segment your data. They allow you to customize your analytics reports to focus on specific aspects of your website or marketing campaigns.

Answer 252

1. Access Admin: Navigate to the Admin section of your Google Analytics account. 2. Select Property and Custom Definitions: Choose the Property where you want to apply the custom dimension. Click on "Custom Definitions" and then "Custom Dimension." 3. Create New Custom Dimension: Name the custom dimension and define its scope, such as "hit," "product," "session," or "user," based on your analysis requirements. 4. Activation and Save: Check the default checkbox to activate the dimension and click "Create" to save it.

Answer 253

1) After creating the dimension, you'll receive JavaScript tracking code. 2) Implement this code on your website to collect custom data when users land on specific pages or perform certain actions. 3) Consider using tools like Google Tag Manager for easier management of custom dimension tracking code.

Answer 254

Custom Metric data is collected using JavaScript implemented on web pages. Each time a user triggers a specific action, such as landing on a page or performing an interaction, the corresponding Custom Metric value is sent along with the hit data to Google Analytics.

Answer 255

1) Access the Admin section of Google Analytics. 2) Select the Property where you want to set up the Custom Metric. 3) Navigate to "Custom Definitions" and then "Custom Metrics." 4) Create a new Custom Metric. 5) Name the metric and define its scope (hit or product). 6) Specify the format of the metric (integer, decimal, or time-based). 7) Set minimum and maximum values to control data range. 8) Activate the metric and save the configuration. 9) Copy the JavaScript tracking code provided. 10) Add the tracking code to each page where data collection is required.

Answer 256

1) View all Custom Metrics under the Custom Metrics section in the Admin settings. 2) Understand the indexing assigned to each Custom Metric by Google Analytics. 3) Implement Custom Metrics as index-value pairs in the tracking code, where the index refers to the metric's index number, and the value represents the data to be attached to the hit.

Answer 257

Event tracking in Google Analytics involves monitoring and analyzing user interactions with specific elements on a website, such as clicks on buttons, video plays, or outbound link clicks.

Answer 258

Event tracking is implemented by adding JavaScript code to individual elements on the website that you want to track. This code includes parameters like category, action, label, and optionally, a value.

Answer 259

The parameters used in event tracking include: * Category: Groups events into logical categories. * Action: Specifies the type of action the user took. * Label: Provides additional information about the element being tracked. * Value: Optional numerical value associated with the event.

Answer 260

Event data can be analyzed in Google Analytics under the Behavior section, where events are organized by category. Metrics like Total Events and Unique Events provide insights into the frequency and uniqueness of interactions.

Answer 261

Advanced use cases of event tracking include tracking outbound link clicks, interactions with third-party elements like live chat buttons, or any custom interactions relevant to your website's goals.

Answer 262

Outbound link clicks refer to when users click on links that lead away from your website to external domains. These links could be to partner websites, affiliate links, or references to external resources. By tracking outbound link clicks as events, you can gain insights into which external destinations are most popular among your website visitors. This information helps you understand user behavior beyond your website and optimize your content or partnerships accordingly.

Answer 263

To view data in Events reports, you need to add code to your site or app to collect Event data.

Answer 264

If you use Google Tag Manager: Guide Reference: Consult the Analytics Events tag setup guide within Google Tag Manager. Tag Configuration: Configure a new tag within GTM specifically for handling Analytics Events. Trigger Setup: Define triggers within GTM to specify when Events should be sent to Google Analytics. Testing and Deployment: After configuring the tag and triggers, thoroughly test its functionality using GTM's preview mode. Once confirmed, publish the changes to deploy the tag live on your website or app.

Answer 265

To collect Event data from a website:Integrate JavaScript code into your website to capture and transmit Event data to Google Analytics.

Answer 266

**To collect Event data from a mobile app:**Utilize the appropriate Analytics Software Development Kits (SDKs) for your mobile platform (e.g., iOS, Android) and follow the integration guidelines provided by Google Analytics.

Answer 267

**If you're dealing with an Internet-connected device other than a website or mobile app**:Utilize the Measurement Protocol, and refer to the Measurement Protocol developer guide for detailed instructions on implementing Event tracking using this method.

Answer 268

To collect data from two websites with different URLs using a single Google Analytics property

Answer 269

Segmentation is a feature in Google Analytics that allows you to analyze subsets of data within reports. It enables you to focus on specific groups of users or sessions to gain deeper insights into their behavior.

Answer 270

* User segments * Session segments

Answer 271

User Segments provide insights into the behavior of specific groups of users over time.

Answer 272

By analyzing user segments, you can understand how different demographics or user characteristics interact with your website and track changes in user behavior over extended periods.

Answer 273

* These segments span multiple sessions and have a maximum date range of 90 days. * You can create user segments based on various criteria such as age range, gender, date range, or a combination of these factors.

Answer 274

Session Segments are segments that are confined to user behavior within a single session. They allow you to analyze specific actions or events that occur during a session, providing insights into user interactions within individual browsing sessions.

Answer 275

Session Segments are useful for analyzing user behavior within a single browsing session. They help identify patterns or trends in user interactions, such as completed goals, revenue generated, or specific actions taken during a session.

Answer 276

User Segments span multiple sessions and focus on analyzing user behavior over time, while Session Segments are confined to individual browsing sessions and provide insights into specific actions or events occurring within those sessions.

Answer 277

Segment comparison allows you to gain insights into how different groups of users behave and interact with your website. It helps in understanding factors influencing user behavior and decision-making.

Answer 278

Segments can be built using dimensions, metrics, session dates, and sequences of user actions. Both default (system) segments and custom segments can be applied to reports.

Answer 279

These segments are pre-defined by Google Analytics and are available under the System section. They cover common segments such as New Users, Returning Users, Tablet Traffic, etc.

Answer 280

You can create your own customized segments based on specific criteria relevant to your analysis. Custom segments allow for more granular segmentation, enabling you to tailor reports to your specific needs.

Answer 281

Yes, segments can be applied to reports to analyze data subsets. Default segments are readily available, while custom segments can be created using the segment builder.

Answer 282

Advanced features include favoriting commonly used segments, importing segments from other users, sharing custom segments, copying segments for customization, and building audiences for remarketing purposes.

Answer 283

Segments are applied after sampling, so sampled data will also be reflected in segmented reports. Advanced segment options allow for complex segmentation based on sequences of user interactions.

Answer 284

The goal of segmentation is to isolate subsets of data, uncover trends and opportunities, and make informed decisions to optimize website performance and user experience.

Answer 285

Segments in Google Analytics are constructed using non-destructive filters (filters that do not alter the underlying data), which means they isolate specific subsets of data without altering the original dataset.

Answer 286

1. Subsets of users 2. Subsets of sessions 3. Subsets of hits

Answer 287

These filters focus on characteristics or behaviors of individual users. For example: * Users who have previously made a purchase. * Users who added items to their shopping carts but didn’t complete a purchase. * Users who visited a specific section of your website.

Answer 288

These filters target specific attributes or actions within user sessions. For example: * All sessions originating from a particular marketing campaign (e.g., Campaign A). * All sessions during which a purchase occurred. * All sessions where users engaged with a specific feature or functionality on your website.

Answer 289

These filters isolate individual interactions or events within sessions. For example: * All hits (e.g., pageviews, events) where the revenue generated was greater than $10. * All hits where users interacted with a specific element on your website.

Answer 290

Segments map to the Analytics user model, where users represent individual people who interact with your website or app, sessions group together interactions by a single user, and hits are individual interactions or events that occur during sessions.

Answer 291

When you apply a segment in Google Analytics, it remains active throughout your session until you manually remove it.

Answer 292

You can apply up to four segments simultaneously and compare the data side by side in your reports.

Answer 293

Audience building refers to the process of identifying and categorizing groups of users based on specific characteristics or behaviors. In digital marketing, audience building often involves collecting data about website visitors, app users, or target customers and segmenting them into distinct groups for targeted marketing campaigns or personalized messaging.

Answer 294

Segments can also be used to build audiences for targeting in remarketing campaigns or for further analysis.

Answer 295

Predefined segments

Answer 296

* Custom segments can be created from scratch or by modifying existing System Segments. * Segments can be imported from the Analytics Solutions Gallery, a platform where users share their custom segments and other solutions they've developed.

Answer 297

The scope of data in segments can be defined at the hit, session, or user level, depending on the behavior being analyzed.

Answer 298

Yes, it's recommended not to use segments with Multi-Channel Funnel reports; instead, Conversion segments are recommended.

Answer 299

If a segment is applied to a Google Ads report with cost data, the cost data will have zero values. Segments are not compatible with Google Ads cost data.

Answer 300

Users can create or import up to 1000 segments that are applicable across all views.

Answer 301

Yes, users can create or import up to 100 segments per user per view, and there can be up to 100 segments available for all users within a view.

Answer 302

For user-based segments, the maximum date range is 93 days. Segments based on the "Date of First Session" option are limited to a maximum range of 31 days.

Answer 303

Each view can contain up to 100 segments that are available for use by all users with access to that view.

Answer 304

1) For Users: A user can have: * 1000 segments that are applicable in any view. * 100 segments specific to View A. * 100 segments specific to View B. 2) For Views: Each view can contain: * Up to 100 segments per user that are specific to that user. * Up to 100 segments that are available for use by all users in that view.

Answer 305

1. Converters by count of visit 2. Whales 3. Organic Image traffic 4. Screens Under 600 pixels wide 5. Keyword length segment series 6. Common ISPs 7. DMA quartiles 8. Blog bounce remover 9. The brand interest segment 10. Q&A Keyword monitoring 11. Cart abandoners by traffic source 12. Geographic brand ripples 13. Cohort Analysis 14. Conversion rates: Business Hours vs. Off Hours 15. Detecting Content Piracy 16. Add your segment here.

Answer 306

This segment aims to understand user behavior based on the number of visits before conversion, helping identify content consumption patterns across the customer journey.

Answer 307

The "Whales" segment focuses on high-value customers who spend significantly, providing insights into their behavior and helping identify opportunities to attract and retain similar customers.

Answer 308

This segment separates traffic from Google Images search from regular organic search, enabling website owners to investigate image-specific search trends and optimize their image-rich content accordingly.

Answer 309

The "Screens Under 600 Pixels Wide" segment filters for mobile devices with screen resolutions below 600 pixels wide, ensuring accurate tracking of mobile visitors and facilitating mobile optimization efforts.

Answer 310

This segment series segments traffic based on the length of search keywords, allowing website owners to analyze the proportion of traffic from head terms vs. long-tail terms and tailor their SEO strategies accordingly.

Answer 311

"Head terms" typically consist of shorter, more generic keywords, while "long-tail terms" are longer and more specific phrases.

Answer 312

The "Common ISPs" segment filters out common Internet Service Providers (ISPs) to identify unusual traffic patterns, enabling website owners to isolate and investigate abnormal activity on their websites.

Answer 313

The "DMA Quartiles" segment series groups major metropolitan areas into four quartiles based on Nielsen's DMA measurements, allowing website owners to compare brand presence across different geographic regions and assess market share.

Answer 314

The "Blog Bounce Remover" segment removes single-page visits to the blog section, helping website owners identify top landing pages for deeper analysis and optimization.

Answer 315

The "Brand Interest Segment" series segments users based on their engagement with brand-related pages, allowing website owners to compare engagement levels between users who visit brand pages and those who don't.

Answer 316

The "Q&A Keyword Monitoring" segment filters keywords containing question modifiers, enabling website owners to identify content opportunities for Q&A sections and better address user queries.

Answer 317

The "Cart Abandoners by Traffic Source" segment helps website owners understand differences in cart abandonment rates based on traffic sources, enabling them to optimize their e-commerce flow and improve conversion rates.

Answer 318

The "Geographic Brand Ripples" segment series compares brand presence across different geographic regions, allowing website owners to assess market share and regional trends.

Answer 319

The "Cohort Analysis" segment allows website owners to segment users based on different stages of the sales funnel, enabling them to analyze conversion rates, conversion paths, and content consumption patterns for different user groups.

Answer 320

The "Conversion Rates: Business Hours vs. Off Hours" segment series compares conversion rates during and after business hours, enabling website owners to identify trends and optimize website performance based on time of day.

Answer 321

The "Detecting Content Piracy" segment helps website owners identify traffic generated by unauthorized hostnames, enabling them to detect and address content piracy issues effectively.

Answer 322

The "Add Your Segment Here" section encourages readers to contribute their own advanced segments, fostering collaboration and knowledge sharing among analytics professionals.

Answer 323

Attribution modeling is a methodology used in digital marketing to understand and allocate credit for conversions across various marketing channels and touchpoints. It involves defining rules or models that determine how credit or revenue is attributed to different marketing interactions that lead to a conversion.

Answer 324

The primary goal of attribution modeling is to provide insights into the effectiveness of different marketing campaigns and channels, thereby optimizing marketing strategies and budget allocation.

Answer 325

1. Understanding Conversion Paths: It identifies the sequence of marketing touchpoints that contribute to a conversion, including awareness, consideration, and purchase stages. 1. Optimizing Marketing Budget: attribution modeling enables marketers to allocate their budget more effectively. It helps identify high-performing channels and prioritize investment in those channels that drive the most conversions. 2. Improving ROI: By attributing revenue or conversions to specific touchpoints, marketers can assess the effectiveness of their campaigns and optimize their strategies to maximize ROI. 3. Enhancing Campaign Performance: Attribution modeling allows marketers to evaluate the impact of each marketing touchpoint on the overall conversion process. This insight helps optimize campaign messaging, targeting, and timing to improve performance and drive better results.

Answer 326

* Last-click attribution * First-click attribution * Linear attribution * Time-decay attribution * Custom attribution models

Answer 327

In this model, all credit for a conversion is assigned to the last interaction before the conversion. While simple to implement, last-click attribution may not accurately reflect the contribution of other touchpoints in the conversion path. | 100% credit to final click before sale or conversion

Answer 328

This model attributes all credit for a conversion to the first interaction in the conversion path. It helps identify the channels that initially attract users to the website but may overlook the influence of subsequent interactions. | 100% credit to the touchpoint that initiates the conversion path

Answer 329

In linear attribution, credit for a conversion is evenly distributed across all interactions in the conversion path. This model provides a more balanced view of each touchpoint's contribution but may not account for variations in the importance of different interactions. | Equal credit of 25% each to all touchpoints in the conversion path

Answer 330

Time-decay attribution assigns more credit to interactions closer to the time of conversion, reflecting the idea that recent interactions are more influential. It acknowledges the diminishing impact of earlier touchpoints as the user moves closer to conversion. | More credit to touchpoints that are closer in time to sale/conversion

Answer 331

Also known as the U-shaped model, this attribution model assigns 40% credit to both the first and last interactions, and evenly distributes the remaining 20% credit to middle interactions. The first and last touchpoints typically play significant roles in the user journey, while middle touchpoints contribute to nurturing and guiding the user towards conversion.

Answer 332

Marketers can create custom attribution models tailored to their specific business goals and user behavior. Custom models combine different attribution rules or assign different weights to various touchpoints based on historical data and insights.

Answer 333

* Conversion Paths: MCF reports analyze the sequence of interactions users engage in before completing a conversion. They identify the channels and touchpoints that play a significant role in driving conversions and provide insights into the effectiveness of different marketing initiatives. * Assisted Conversions: MCF reports distinguish between last-click conversions and assisted conversions, where specific channels contribute to conversions but may not be the final interaction before conversion. This helps marketers recognize the value of channels that assist in driving conversions throughout the customer journey. * Time Lag and Path Length: MCF reports analyze the time it takes for users to convert after their initial interaction with the website (time lag) and the number of interactions it takes for users to convert (path length). These metrics provide insights into user behavior and help marketers understand the typical conversion journey. * Channel Analysis: MCF reports break down conversions by marketing channel, allowing marketers to assess the effectiveness of different channels in driving conversions. This analysis helps prioritize marketing efforts and allocate resources to channels that generate the most value. * Attribution Modeling: MCF reports support various attribution models, allowing marketers to compare the impact of different models on conversion attribution. This helps identify the most suitable attribution model for their business and optimize marketing strategies accordingly

Answer 334

* **Overview Report:** Provides a summary of total conversions, click-assisted conversions, impression-assisted conversions, and rich media-assisted conversions. * **Assisted Conversions Report:** Breaks down assisted conversions by channel, day of conversion, day before conversion, and path position. * **Top Conversion Paths Report:** Groups conversions by channel combinations leading to conversion. * **Time Lag Report:** Analyzes conversions grouped by the number of days it took from initial interest to conversion. * **Path Length Report:** Shows the average number of interactions required to convert and the value of each series of interactions.

Answer 335

Conversion paths represent the series of interactions (clicks/referrals) that led to conversions or transactions. These interactions are tracked within a specified timeframe, typically the last 30 days, but this can be adjusted up to 90 days using the Lookback Window selector.

Answer 336

To access the Multi-Channel Funnels reports: 1. Sign in to your Google Analytics account. 2. Navigate to your desired view. 3. Open the Reports section. 4. Select Conversions > Multi-Channel Funnels.

Answer 337

The Active Users report measures the number of unique users who initiated sessions on your site over specific time periods, such as the last day, seven days, fourteen days, or thirty days. It's useful for quickly gauging the level of user interest in your website and monitoring traffic drops, which can indicate various issues from short-term negative press to long-term audience growth challenges.

Answer 338

* This report allows you to analyze specific groups of users (cohorts) and their behavior over time. * Start by selecting a cohort type (e.g., Acquisition Date), which groups users based on when they first engaged with your site. * Choose the cohort size (day, week, or month of acquisition) and the metric you want to evaluate for each cohort. * Set the date range based on your analysis needs. * For example, to check product revenue trends, set the Cohort Size as "by week," the metric as "Revenue per User," and the date range as "Last 9 weeks."

Answer 339

Benchmarking reports allow you to compare your data with anonymized aggregated industry data from other companies.

Answer 340

* To enable Benchmarking, go to Account Settings and check the box for enabling Benchmarking. * Navigate to the Benchmarking section under Audience in your analytics dashboard. * Select the industry vertical, region, and daily session size that match your business. * For example, select "All Shopping" industry vertical, "United States" as the country, and "5000-9999" as the daily session size. * The Channels report compares your channel data to benchmarks for each channel in the Default Channel Grouping, showing which channels perform better or worse in acquisition and behavior. * The Location report compares your Country/Territory data to benchmarks for each country or territory. * The Devices report compares your devices data to benchmarks for desktop, mobile, and tablet traffic.

Answer 341

Benchmarking reports allow you to compare your channel data, location-based data, and device usage data with industry benchmarks. They provide visualizations like tables and heatmaps to help in understanding the data better. You can toggle metric values and heatmap colors on and off for clearer analysis.

Answer 342

By analyzing data from Active Users, Cohort Analysis, and Benchmarking reports, you can gain valuable insights into user behavior, identify trends, and benchmark your website's performance against industry standards. This information can inform decisions regarding website optimization, marketing strategies, and goal setting.

Answer 343

To access the Cohort Analysis report in Google Analytics, follow these steps: 1. Sign in to your Google Analytics account. 2. Navigate to the desired view for which you want to analyze cohorts. 3. Go to the "Reports" section. 4. Click on "Audience" and then select "Cohort Analysis".

Answer 344

After opening the Cohort Analysis report, you can configure it to analyze the data according to your specific needs. Here's how you can do it: * **Cohort Type:** This dimension characterizes the cohorts. For instance, if you choose "Acquisition Date" as the cohort type, you're grouping users based on the date they were acquired. * **Cohort Size:** You determine the size of each cohort by selecting the value type for the dimension. For example, if you choose "Acquisition Date" as the cohort type, you can further specify if you want to group users by day, week, or month. * **Metric:** Choose the specific metric you want to evaluate. This could be anything from pageviews to revenue. * **Date Range:** Select the relative date range of the data you want to analyze and the number of cohorts you want to include. * **N selected:** Choose which cohorts are illustrated in the chart. This allows you to focus on specific cohorts rather than displaying all of them at once.

Answer 345

* **Chart:** By default, the chart displays cumulative metric values for all cohorts. You can use the "N selected" menu to select specific cohorts to focus on. * **Columns:** The first column identifies the cohorts based on the chosen dimension (e.g., Acquisition Date), along with the number of users in each cohort. Subsequent columns represent the chosen time increments (e.g., days, weeks, months). * **Rows:** The first row shows the total metric value for all cohorts for each column. Subsequent rows show the values for individual cohorts. * **Cells:** Each cell contains the relevant metric values for a specific cohort and time increment. * **Colors:** Analytics uses color to represent relative metric values, with darker colors indicating higher values and lighter colors indicating lower values. * **Segments:** When segments are applied, the data for each segment is displayed in a separate table. * **Filters:** Be cautious with filters, as they can affect the data displayed. Filters excluding Day-0 users can impact subsequent days' data.

Answer 346

* **Micro Trends:** Analyze smaller cohorts within larger data sets to identify patterns and trends that might not be apparent at a macro level. * **Consistency or Deterioration Across Cohorts:** Compare values across cohorts to see if there's consistent behavior or if performance improves or deteriorates over time. * **Engagement, Retention, and Acquisition:** Identify points of attrition to improve user retention and understand the rate at which new users need to be acquired. * **Response to Short-Term Marketing Efforts:** Track the behavior of users acquired during specific marketing campaigns to evaluate their effectiveness.

Answer 347

To access Benchmarking Reports in Google Analytics, follow these steps: 1. Sign in to your Analytics account. 2. Navigate to your view. 3. Open Reports. 4. Select Audience > Benchmarking.

Answer 348

You can choose from over 1600 industry categories and refine data by geographic location. Additionally, you can select from seven traffic size classifications to compare your property against similar traffic levels in your industry.

Answer 349

Benchmarking data is available for the following dimensions: * **Default Channel Grouping:** This includes channels such as Social, Direct, Referral, Organic Search, Paid Search, Display, and Email. * **Location:** You can analyze data based on the country or territory. * **Device:** Data can be segmented based on the device type, such as desktop, mobile, and tablet.

Answer 350

You can compare your data against benchmarks for metrics such as: * Sessions (number of sessions) * % New Sessions * New Sessions (number of sessions from new users) * Pages per Session * Avg. Session Duration * Bounce Rate

Answer 351

You can add up to five dimensions and 10 metrics.

Answer 352

Use the "add dimension" and "add metric" options and select the desired parameters.

Answer 353

Mixing dimensions and metrics of different scopes may result in missing or misleading data.

Answer 354

* A filter that filters out all data * Dimensions and metrics of different scopes

Answer 355

* Use multiple dimensions together in the same report * Create a report with Custom Metrics * Use a Custom Dimension as a primary dimension

Answer 356

Cohort Analysis report

Answer 357

Remarketing is a digital marketing strategy that targets users who have previously visited your website but haven't completed a desired action, like making a purchase. It's important because it allows you to reconnect with potential customers, increase brand awareness, and improve conversion rates.

Answer 358

Sign in > admin section > tracking info > data collection > remarketing and advertising reporting features: ON

Answer 359

Linking your Google Ads or Display & Video 360 account to Analytics enables seamless data sharing between platforms, facilitating the creation and management of remarketing campaigns.

Answer 360

Audiences are groups of users categorized based on their interactions with your website. These audiences are created in Google Analytics and used to target specific user segments with relevant ads.

Answer 361

Remarketing audiences are lists of users identified by their cookies or mobile-advertising IDs who have previously interacted with your website or app and are targeted for re-engagement due to their likelihood to convert.

Answer 362

Behavior criteria such as session initiation, app opening, or specific product interactions are used to segment users into remarketing audiences based on their actions on your site or app. E.X: For instance, you might create remarketing audiences for users who viewed product-detail pages but didn't add those items to their carts, users who added items to their carts but didn't complete their purchases, or users who purchased specific items. Each audience can then be engaged with targeted ads tailored to their behavior.

Answer 363

* Access Audience Definitions: Click on “Admin” and then “Audience Definitions” under the property you wish to use. * Create New Audience: Click on “Audiences” and then “New Audience”. * Define Audience Parameters: Select the view and account, and define your audience from preconfigured list of audience definitions or create a new one from scratch. * Set Membership Duration: Determine how long users remain eligible to be served remarketing ads by setting the membership duration, ranging from 1 to 540 days. * Import or Create Segments: Import segments or define new audiences from scratch based on specific criteria relevant to your business.

Answer 364

Audience lists created in Google Analytics populate in linked Google Ads or Google Marketing Platform accounts. These lists are then used to create targeted ad campaigns across various platforms, including Google Display Network, mobile apps, and Google Search.

Answer 365

Ensure that your audiences meet the requirements for remarketing, such as minimum user count for Google Search ads and eligibility criteria for different ad platforms, to maximize the effectiveness of your remarketing campaigns.

Answer 366

You have several options for specifying audience criteria: * Choose from preconfigured audience definitions. * Create a new audience definition. * Import a segment.

Answer 367

For remarketing audiences to be effective on the Google Display Network and for search ads, they must meet minimum cookie requirements: 100 unique cookies for the Display Network and 1000 unique cookies for search ads.

Answer 368

* Meeting the minimum cookie requirements ensures that remarketing campaigns have a viable audience size to target. * This increases the likelihood of reaching users who have previously interacted with your site or app, thus improving the chances of conversions.

Answer 369

* When you create a remarketing audience, you have the option to publish it to advertising accounts. * You can publish the same audience to up to 10 advertising accounts at the same time. * These advertising accounts can include different types, such as Google Ads Manager Accounts, Google Ads Serving Accounts, and Display & Video 360.

Answer 370

* Apart from advertising accounts, you can also publish remarketing audiences to non-advertising accounts. * Examples of non-advertising accounts include tools like Optimize or Analytics. * Unlike advertising accounts, there's no limit to the number of non-advertising accounts to which you can publish your remarketing audiences.

Answer 371

A maximum of 50 audiences can be published to a single Analytics account.

Answer 372

To set up your Display campaigns effectively, follow these steps: * **Conversion Tracking:** Ensure accurate tracking of website and app conversions by setting up conversion tracking. Regularly monitor its functionality across platforms like Google Ads, Google Analytics, or third-party platforms. * **Campaign Goal:** Select a campaign goal aligned with your objectives, whether it's driving website traffic, increasing brand awareness, or boosting conversions. * **Smart Bidding:** Utilize Smart Bidding to automate and optimize your bids, leveraging dynamic bids tailored to each auction for improved results. Consider upgrading to Performance Max for enhanced AI-powered features across channels.

Answer 373

Follow these strategies: * **Optimized Targeting:** Utilize optimized targeting to identify customers more likely to convert within your campaign goals, beyond manually-selected audience segments. * **Optional Signals:** Enhance targeting by adding optional signals like audience segments or keywords. For re-engaging existing customers, include audience segments built with your data. These additional criteria provide valuable context and help narrow down your audience further.

Answer 374

* **Responsive Display Ads:** Upload and optimize assets into responsive display ads for automatically generated ad combinations, leading to increased conversions. * **Advanced Format Options:** Explore advanced format options such as asset enhancements, auto-generated videos, and native formats for more engaging ads. * **Product Catalog Integration:** Include your full product catalog with relevant images, titles, and prices. * **Continuous Testing:** Test and optimize display ads frequently with fresh creative assets and images for ongoing performance improvement.

Answer 375

Responsive display ads are flexible ad formats that automatically adjust their size, appearance, and format to fit the available ad space.

Answer 376

* **What it involves:** Integrating your product catalog with your ads to showcase your offerings dynamically. * **How it's done:** You provide Google with your product data, including images, titles, descriptions, and prices. Google then uses this information to automatically create relevant ads tailored to users' interests and preferences.

Answer 377

Follow these guidelines: * **Consider All Conversions:** Evaluate campaign performance by considering all conversions, including engaged-view conversions (EVCs) and view-through conversions (VTCs). * **Adjust Lookback Windows:** Depending on your business or product buying cycle, adjust the lookback windows used by the conversions you're tracking. * **Enable GA4 Auto-Tagging:** Ensure detailed Google Ads data by enabling GA4 auto-tagging for enhanced tracking capabilities.

Answer 378

Engaged-view conversions occur when users see your ad but do not interact with it immediately by clicking on it. Instead, they may engage with your ad by viewing it for a certain duration or interacting with it in other ways (such as hovering over it or expanding it), but they don't click through to your website or app at that moment. Later, they may complete a conversion on your site.

Answer 379

View-through conversions (VTCs) are a metric used in online advertising, particularly in display advertising. VTCs track instances where users see an ad but do not click on it. Later, these users visit the advertiser's website or app directly and complete a conversion action, such as making a purchase, signing up for a newsletter, or filling out a form. The VTC metric attributes the conversion (such as a purchase) to the initial exposure to the ad, even though the user did not interact with the ad by clicking on it. In other words, the ad played a role in influencing the user's decision to take the desired action, even though they did not directly engage with the ad at the time of viewing.

Answer 380

Dynamic Remarketing with Analytics is a sophisticated advertising technique that allows for highly targeted remarketing campaigns. It enables advertisers to tailor their ads based on users' previous interactions with their website, including viewed products, related content, purchase history, and demographic information.

Answer 381

1) **Link Google Ads and Analytics Accounts:** Before diving into dynamic remarketing, you need to ensure your Google Ads and Analytics accounts are linked. This step is crucial for tracking user behavior and campaign performance effectively. 2) **Enable Advertising Features:** This involves activating advertising features within your Analytics account, as discussed previously. By doing so, you unlock advanced capabilities for targeting and tracking your remarketing campaigns. 3) **Link Google Ads to Google Merchant Center:** For retail businesses, it's essential to connect your Google Ads account to your Google Merchant Center. This integration allows you to leverage product data from the Merchant Center to enhance the customization of your dynamic remarketing ads. 4) **Setup Dynamic remarketing:** * Find vertical attributes * Create custom dimensions * Update Website tags * Create audiences * Create dynamic attributes

Answer 382

Vertical attributes help in categorizing products or content based on their unique characteristics. These attributes play a crucial role in segmenting your audience and personalizing remarketing ads effectively.

Answer 383

To create custom dimensions: 1. Identify vertical attributes. 2. Set up custom dimensions in Google Analytics, naming each dimension after a vertical attribute. 3. Implement tracking codes on website pages to collect relevant data, such as product IDs and page types.

Answer 384

Dynamic attributes are parameters or characteristics derived from vertical attributes, which are specific to your business type (e.g., retail, flights). These attributes are created within Google Analytics and linked to your Google Ads account.

Answer 385

Dynamic attributes enhance Dynamic Remarketing by providing additional data points for ad personalization. They allow advertisers to fine-tune their targeting strategies based on specific business characteristics, such as product categories or user behaviors. This leads to more relevant and effective remarketing campaigns, ultimately increasing the likelihood of conversion.

Answer 386

Various audiences can be created, including: * General users who visited the homepage or specific category/product pages. * Users who viewed search results or product lists/pages. * Users who abandoned their shopping carts. * Users who have previously converted.

Answer 387

To create Dynamic Remarketing campaigns: 1) Ensure all preparatory steps, including setting up custom dimensions and audiences, are complete. 2) Access Google Ads and follow the provided link to create Dynamic Remarketing campaigns. 3) Utilize the collected data and defined audiences to craft personalized ads that re-engage users based on their past interactions.

Answer 388

Dynamic Remarketing offers several benefits, including: * Highly targeted ads based on user behavior. * Increased relevance and personalization. * Improved chances of conversion by reconnecting with interested users. * Efficient use of advertising budget through precise targeting.

Answer 389

Narrowly targeted lists enable you to focus your ad content and budget where it will have the most impact. For example, users at different stages of the conversion funnel may require different messaging.

Answer 390

You can create the following categories: * General users * Product searchers * Product viewers * Conversion abandoners * Past converters

Answer 391

Importing preconfigured audiences saves time and ensures that your remarketing efforts are aligned with the characteristics and preferences of your target audience within your business vertical.

Answer 392

Here's how you can import an audience configuration for a specific vertical: 1. Sign in to your Analytics account. 2. Open another tab in the same browser and click on one of the provided links for the desired vertical, such as Retail or Travel. 3. You'll be prompted to select the Analytics view in which you want the audience available and the advertising account with which you want to share the audience. 4. After selecting the view and advertising account, click on "Create."

Answer 393

You can access imported preconfigured audiences in the Admin tab > Property column > Remarketing > Audiences within Google Analytics and in the specified advertising account.

Answer 394

* **Tailored Ads:** It allows you to display ads personalized to individual users based on their past interactions with your site or app. * **Lead Generation and Sales:** By showing relevant products or services, dynamic remarketing can re-engage previous visitors, increasing the likelihood of conversions.

Answer 395

To implement dynamic remarketing, you'll need: 1. A product or service feed containing detailed information about your offerings. 2. The dynamic remarketing tag with custom parameters installed on all pages of your website to track user interactions. 3. Responsive display ads that adjust their appearance and format to fit different ad spaces and devices.

Answer 396

Dynamic remarketing utilizes data from the product or service feed and user interactions tracked by the remarketing tag to customize ads. It dynamically selects products or services from the feed that the user has previously viewed and incorporates them into the ad creative. This targeted approach aims to re-engage users by showing them relevant items they have shown interest in.

Answer 397

Setting up dynamic remarketing involves several steps: 1. Create a product or service feed containing detailed information about your offerings. 2. Install the dynamic remarketing tag with custom parameters on all pages of your website to track user interactions. 3. Design responsive display ads that adjust their layout to match available ad spaces. 4. Upload the product feed to the Business data section of your Shared library or Google Merchant Center if you're a retailer. 5. Configure your Google Ads account to use the data feed for personalized ads. 6. Save your changes to activate dynamic remarketing for your campaigns.

Answer 398

Dynamic remarketing offers several advantages, including: 1. Ads scaling with your entire inventory of products or services. 2. Simple feed creation in various formats like .csv, .tsv, .xls, or .xlsx. 3. High-performance layouts optimized for user, placement, and platform. 4. These features enhance the effectiveness and efficiency of dynamic remarketing campaigns.

Answer 399

Dynamic prospecting focuses on acquiring new users by combining user intent with demographic data to match them with relevant products. It differs from dynamic remarketing, which targets previous visitors. Dynamic prospecting is preferable for new advertisers or when targeting audiences outside existing data segments, including website visitors and app users.

Answer 400

1. In your Google Ads account, click the Campaigns icon Campaigns Icon. 2. Click the Campaigns drop down in the section menu. 3. Click Campaigns. 4. Select the campaign you’d like to update. 5. Click on Additional settings. 6. Click on the drop-down under “Dynamic ads.” 7. This drop-down will select “No data feed” by default. 8. Click the checkbox next to “use a data feed for personalized ads”. 9. Select the relevant Data Feed from the drop down menu. 10. Click Save.

Answer 401

1. Measurement- Defining what you want to measure in your online business using G.A. 2. Reporting- Converting data collected into readable reports. 3. Analysis- deriving insights and drawing conclusions. 4. Testing- experimenting with different solutions to address the issues identified during analysis.

Answer 402

Custom Dimension

Answer 403

* Pre-defined segment * Custom Segment

Answer 404

* Advertising reporting features * Google Ads or Display & Video 360 account linking

Answer 405

* Users who visited a specific page on a website * Users who played a video on a website * Users who speak a particular language

Answer 406

* Google Display Network * Mobile apps * Google Search

Answer 407

* Users who viewed a website search result page * Users who viewed product detail pages * Users who abandoned their shopping carts