Analytics_Optimization Flashcards
(20 cards)
What is marketing analytics?
The practice of measuring, managing, and analyzing marketing performance.
What is Google Analytics used for?
To track and report website traffic and user interactions.
What is a conversion rate?
The percentage of users who take a desired action, such as a purchase or signup.
What is bounce rate?
The percentage of visitors who leave the site after viewing only one page.
What is average session duration?
The average amount of time a user spends on your site during a session.
What is user behavior tracking?
Tracking how users interact with your website (clicks, scrolls, time on page).
What are KPIs in e-commerce?
Key performance indicators like conversion rate, AOV, LTV, CAC.
What is funnel analysis?
Analyzing how users move through each stage of the sales funnel.
What is the difference between a metric and a dimension?
Metrics are quantitative (e.g., sessions); dimensions are attributes (e.g., location).
What is cohort analysis?
Analyzing user groups who share similar characteristics or behaviors over time.
What are heatmaps?
Visual tools that show where users click, scroll, or ignore on your site.
What is A/B testing?
Comparing two versions of a page or ad to see which performs better.
What is multivariate testing?
Testing multiple variables at once to find the best combination.
What is a split test?
A basic form of A/B test, comparing two variants of the same element.
What are goals in Google Analytics?
Specific actions you want users to take, such as signing up or making a purchase.
What is event tracking?
Tracking user actions like clicks, downloads, or video plays.
What is a UTM parameter?
Tagged URLs used to track marketing campaigns in analytics platforms.
What tools can help with analytics and testing?
Google Optimize, Hotjar, Crazy Egg, Optimizely.
What is the difference between GA4 and Universal Analytics?
GA4 is event-based and more flexible; Universal Analytics uses session-based tracking.
What is customer lifetime value (LTV)?
The predicted revenue a customer will generate over their entire relationship with a business.
