Lecture 9 Flashcards

(53 cards)

1
Q

Marketers need to be able to access their data to measure

A

digital marketing activity

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Most marketers will have website analytics and their own business analytics tracked in

A

either homegrown or third-party tools.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

In more advanced cases, a data warehouse can pull together data from a wide array of systems to

A

make insights and reporting more accessible.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Data Sources

A

Transaction Database

Web Analytics Tool

In Store Tracking

3rd Party Pixels

External Sources

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Analysis Tools

A

Statistics

Modeling

Visualization

Ad Hoc

Reporting

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

Languages

A

Map Reduce

R

Python

SAS

SQL

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Platforms

A

Relational

Hadoop

Hive

Spark

Transactional

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

Insights & Analysis Ecosystem

A

Data Sources

Analysis Tools

Languages

Platforms

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

90s Competitive Advantage

A

• Operational skills used to confer long-term
advantage

• Leaner manufacturing, higher-quality
products or superior distribution would outrun
competitors

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

New Competitive Advantage

A

• New source of competitive advantage is
customer centricity

• The ability to deeply understand your
customers’ needs and fulfilling them better
than anyone else

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

What is Customer Centricity?

A

Business strategy that sits at the intersection of what the customer truly needs, the purpose that the brand wants to bring to life for its customers, and the way in which the business commercializes its relationship with its customers.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Customer-centric companies are growing revenue faster than their competitors and are creating

A

personalized, experiential value

propositions based on data-driven insights

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

By 2020 there will be more than 50 billion connected devices (~7 per person), making enough data available to

A

better understand people and transform companies into customer-centric

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

Business Drivers of Customer Centric Growth

There are 10 drivers within 3 dimensions that over-performing companies adopt to deliver customer-centric growth

A

Customer Obsession Drivers

Insights Engine Drivers

Total Experience Drivers

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

Customer Obsession Drivers

A

Drive customer obsession throughout the
organization, taking the voice of the
customer into account in every business
decision (internal and external)

Drivers

  • Embrace by all
  • Leadership priority
  • Collaboration
  • Experimentation
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

Insights Engine Drivers

A

Evolution of Insights & Analysis from support role to fully integrated business partner that has a seat at the leadership table, driving strategy and real-time execution

Drivers

  • Leading role I&A
  • Unlocking power of data
  • Critical capabilities
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
17
Q

Total Experience Drivers

A

Seamless, consistent and tailored
brand experience that goes beyond
functional benefits and is built on a
clear purpose for why the brand exists

Drivers

  • Purpose-led
  • Data driven customization
  • Touch point consistency
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
18
Q

Benchmark in-house results against a robust global cross-industry dataset to

A

quantify the revenue growth potential of addressing each driver.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
19
Q

How To Achieve Customer Centricity

A
  • Customer Centricity requires data
  • However, having troves of data is of little value, the ability to transform data into insights about consumers’ motivation and to turn those insights into strategy is the real differentiator
  • This alchemy requires innovative organizational capabilities called “insight engine”
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
20
Q

The Importance Of The Insight Engine

A

Its vital role was revealed in the Insights2020 study led by Kantar VermeerI, which involved interviews and surveys of more than 10,000
business practitioners worldwide.

Of the factors that were found to drive customer-centric growth, none mattered more than a firm’s insights engine, embodied in its insights and analytics function.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
21
Q

Unilever Case

A
  • Shows how the insight engine works at the consumer giant and its characteristics
  • Unilever owns 400+ brands, including Dove, Knorr, and Axe, which generated $60 billion in revenue in 2015, with underlying sales growth of 4.1% for the year

• Performance at those levels requires full engagement of the company’s 169k employees, who span functions from supply chain and R&D to marketing and finance. But as we’ll review, it’s the
insights engine, manifested in the firm’s Consumer and Market Insights (CMI) group, that underpins Unilever’s customer-centric strategy

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
22
Q

Unilever New Strategy

A

• In 2016 Q1, Unilever’s CEO announced a new initiative to shift
resources to local markets around the world, clarifying
accountability and making marketing teams more agile globally
and locally
• The initiative was based on the insights collected by the CMI group,
which were discussed with the board and led to changes in the
organization and mindset

• CMI identified growth in consumers seeking brands that align with
their cultural identity and lifestyle, allowing local firms to grow faster
and strengthen their competitive position

• Unilever’s new initiative showcases the type of a high-level advisory
role that leading insights functions are increasingly taking

23
Q

A decade ago, I&A was sort of strategic
involvement by a customer intelligence
operation was almost unheard of and was typically a

A

reactive service unit reporting to the marketing function, fielding marketing requests, and producing performance management reports

24
Q

Over time, I&A has been shifting from merely

supplying data to

A

interpreting it, distilling insights about consumers’ motivations and needs on the basis of their behavior.

25
Driven by the imperative to become customer-centric, leading firms are now completing the transformation of market research groups into
true insights engines with | a fundamentally strategic role.
26
Characteristics of Superior Insights Engines There are 2 broad groups:
1. Operational Characteristics | 2. People Characteristics
27
1. Operational Characteristics
- Data Synthesis - Independence - Integrated Planning - Collaboration - Forward-looking Orientation - Affinity for Action
28
2. People Characteristics
- Whole-brain Mindset - Business Focus - Storytelling
29
Until recently, large firms had an advantage over smaller rivals because of the scale of their market research capability. Today what matters is the ability to
connect the dots and extract value from the information
30
__% of executives at over-performing firms said that their company was skilled at linking disparate data sources
67%
31
To improve proficiency in using data, firms are creating
dedicated data groups, under senior executive leadership, to consolidate, manage, and analyze data and distribute it throughout the organization
32
For any insights group, the first challenge is to
integrate massive and disparate sets of both structured and unstructured data
33
Superior insights groups sit decisively | outside
marketing and other functions and often report to someone in the C-suite (i.e. CEO, Chief Strategy Officer, or Chief Experience Officer) ``` The i2020 research shows that insights leaders in over-performing organizations report to these senior executives more than twice as often as their counterparts in underperforming organizations (29% vs 12%) ```
34
What is the driving force behind strategy | development and execution?
Business and brand planning cycle This is where decisions are made, resource allocation and budgeting formalized and performance monitored against goals
35
For I&A to help drive strategy, their | activities must be aligned during the
planning cycle with those of strategic | planning, marketing and other functions.
36
Over-performing firms usually include insights leaders at __ stages of the planning cycle, especially in retail
all key
37
Over-performing firms work __ with other | functions and customers
closely
38
Emphasis on collaboration is evident particularly among tech start-ups, but also among
giants such as Alibaba and Google
39
In traditional market-research functions, the | emphasis isn’t so much on collaboration as on
being an effective service provider
40
Insights functions have a distinctly different role | that emphasizes
shared goals and partnerships.
41
Over-performing companies are 3x as | likely to embrace
a culture of experimentation than underperformers. The i2020 research shows B2B firms in general are more experimental than B2C companies (40% versus 13%)
42
To get a handle on the future, market | researchers traditionally focused on
the past
43
Most firms today have shifted substantial | attention to studying
the present, monitoring consumers in real time to anticipating what they’ll do next. The most sophisticated are pushing harder, using predictive analytics and other technologies, along with new organizational structures, to both anticipate and influence behavior.
44
The most influential insights functions focus as much on __ as on data
strategy • Indeed, i2020 found that 79% of insights functions at over-performing companies participated in strategic decision making at all levels of the organization • CMI’s action orientation manifests itself in two broad ways: in its specific recommendations to other functions and in the recruitment and training of “action-oriented” employees.
45
Whole-Brain Mindset
• A culture that breaks from the past is needed • Today’s insights teams must think holistically, exercising creative, right-brain skills • High-performing organizations are particularly adept at integrating the creative and analytics approaches • Achieving balance between right and left brain thinking requires a 2 pronged effort: recruiting whole-brain talent and encouraging the mindset across the existing organization
46
Business Focus
• Historically, organizations’ right-brain thinkers (i.e. marketing creative teams) have not naturally focused on the business side • i2020 found that respondents from highperforming firms were much more likely than those from low-performing firms to believe that their insights functions were business-focused
47
Storytelling
• The i2020 research imparts a final lesson about what makes for a strong insights engine: good storytelling • At over-performing firms, 61% of surveyed executives agreed that people in their insights functions were skilled at conveying their messages through engaging narratives
48
Four Building Blocks
Access Sources Develop Strategies Execute in Real-Time Engage Partners
49
Building an Insight Engine Requires Alignment
Structure People Tools Processes
50
People
``` People with critical competencies such as business acumen, storytelling and a whole-brain mindset, that embrace a culture of experimentation and crossfunctional collaboration ```
51
Structure
Insights as an independent function mirroring Marketing, with clear accountability, resulting in less debates
52
Processes
Clear processes that enable teams to play an integral role in the business planning cycle, turning data into action and shifting s from hindsight to foresight
53
Tools
World-class tools enabling teams to effectively synthetize data and act as a guardian of data quality / reliability