Building an Insights Engine
The document discusses building an insights engine to drive customer-centric growth. It outlines 10 key dimensions for developing an insights engine, including having a forward-looking orientation, synthesizing data, embracing whole-brain thinking, collaborating across functions, and experimenting. It describes building blocks for an insights engine such as engaging partners, developing customer-centric strategies, executing in real-time, accessing diverse data sources, distilling insights, and equipping the organization for excellence. The insights engine approach focuses on the total customer experience, actionability of data, experimentation, and co-creating with customers.
3. The world is growing more connected
212 Billion
devices
2008 2015 2020
7
Billion
25
Billion
!Connected
Society
Data People
Process Devices
4. ... and competitive advantages are deteriorating
1900 -
1960
1960 -
1990
1990 -
2010
2010 -
PRESENT
Age of
Manufacturing
Age of
Distribution
Age of
Information
Technology
Age of the
Connected
Customer
5. 2015: Insights2020 Advisory Board
Keith Weed
Unilever
Sir Martin Sorrell
WPP
Diego Scotti
Verizon
Julian Prynn
BAT
Jerry Wind
Wharton
Harish Bhat
TATA
Gayle Fuguitt
ARF
Rob Norman
GroupM
Tony Fagan
Google
Barbara Lamprecht
Volkswagen
7. Largest and most global I&A study
60 Markets
337 Vision Interviews
10,495 Survey Respondents
• LinkedIn Behaviorial Analysis
• Wharton Crowd Sourcing
• 8 Global research teams
• Cross-industry, Cross-function
8. Customer Centricity and Revenue Growth go hand in hand
R² = 0.971
0
1
2
3
4
5
6
7
8
20 30 40 50 60 70 80 90 100
RevenueGrowth
Customer Centricity (%)
10. Overarching opportunities
Insights into
action across all
touchpoints
`
Behavioral
Data
Personalization
Purposeful
Marketing
Especially true
for overperformers
Globalization &
ability to influece
business
11. Common challenges
Internal silos &
bureaucracy
Legacy of
structure &
functions
Infobesity &
making sense
of data
Recruiting
wholebrain
people
Especially true
for
underperformers
Especially true
for
overperformers
Touchpoint
consistency & doing
more with less
13. Revenue growth over-performers excel in 3 dimensions:
CUSTOMER
CENTRIC GROWTH
TOTAL
EXPERIENCE
CUSTOMER
OBSESSION
INSIGHTS
ENGINE
14. 10 Drivers of Customer Centric Growth
8. Leading role of I&A
9. Unlocking the power of data
10. Critical capabilities
4. Embraced by all
5. Leadership priority
6. Collaboration
7. Experimentation
1. Purpose-led
2. Data-driven customization
3. Touch point consistency
15. Key Dimensions of Customer Centric Growth
CUSTOMER
CENTRIC
GROWTH
TOTAL
EXPERIENCE
CUSTOMER
OBSESSION
INSIGHTS
ENGINE
16. Key Dimensions of Customer Centric Growth
1. Purpose-led
2. Data-driven customization
3. Touch point consistency
TOTAL
EXPERIENCE
CUSTOMER
OBSESSION
INSIGHTS ENGINE
CUSTOMER
CENTRIC
GROWTH
18. Driver 1. Purpose-led
4
3
2
1
North Star for all
decisions
Integrated in total
marketing mix
Brand communications
Societal
movement
Uplifting mind and body
19. Driver 2. Data-driven customization
Creating experiences based
on data driven insights
20. Driver 2. Data-driven customization
4
3
2
1 Broad value proposition
Segmentation
Micro-targeting
Full 1-to-1
21. Key Dimensions of Customer Centric Growth
4. Embraced by all
5. Leadership priority
6. Collaboration
7. ExperimentationTOTAL
EXPERIENCE
CUSTOMER
OBSESSION
INSIGHTS ENGINE
CUSTOMER
CENTRIC
GROWTH
22. Driver 4. Embraced by All
Customer Centricity is fully
embraced by all functions
23. 4
Infused in all functions
processes and decisions
Seamlessly aligned
with external partners
Driver 4. Embraced by All
3
2
1 Owned by I&A function
Infused in customer facing
functions
24. Driver 5. Leadership Priority
Customer Centricity is a
top priority for leaders
Incentives are based on
customer related KPIs
25. Driver 5. Leadership Priority
3
2
1 Leadership advocates
customer centricity
Translated into personal
measures & incentives
CC as key metric /
guiding principle
In 2014, The Leading Global Brand Study, Marketing2020 was published in the Harvard Business Review.
Thanks to the M2020 study, we have identified key drivers for getting a powerful marketing machine.
Marketing effectiveness in M2020 is all about having the right “What” and “How” of marketing in place in order to improve the marketing effectiveness of the organization.
Welcome to the Connected society
By 2020, more than 200 billion connected devices...
Not only we now CAN truly serve our customers differently, we also MUST...
In 2015, a new initiative was undertaken.
Insights 2020 is being supported by a world-class, cross-industry Advisory Board
Keith Weed, Chairman – Global CMO - Unilever
Sir Martin Sorell – CEO - WPP
Diego Scotti – CMO - Verizon
Julian Prynn – Marketing Director Middle East - BAT
Jerry Wind – Lauder Professor / Professor of Marketing - Wharton University
Harish Bhat – Group Executive Council - Tata
Gayle Fuguitt – CEO/President – ARF
Rob Norman – Chief Digital Office – GroupM
Tony Fagan – VP research – Google
Barbara Lamprecht – Director Brand & Marketing Strategy - Volkswagen
…and a strong and broad coalition of founding partners
ESOMAR – the overarching industry association for market research
ARF (Advertising Research Foundation) – a large advertising industry association in the US.
Korn Ferry - a world-wide executive recruitment, leadership and talent consulting service
LinkedIn – the world’s largest professional social network
Kantar - home to the world's leading research, data and insight companies
Kantar Vermeer – global marketing strategy consultancy firm
Insights2020 is a combination of qualitative (331 vision interviews) and quantitative surveys.
As well as distilling learning from behavioral data, for which we were able to use the LinkedIn database, and crowdsourcing which we did in collaboration with an expert pool from Wharton University.
And of course we did quite a lot of desk research to make sure that we are building on all the knowledge and learning that was already available.
And more specifically, these are the two questions Insights2020 will answer:
WHAT are the drivers of Customer Centricity? And HOW to achieve Customer Centricity?
Throughout our analysis, we looked at what overperforming and what underperforming companies do.
We compare the scores of companies that grow faster and outperform their competitors in terms of business growth, to those companies that lag behind in terms of growth; the underperformers
The I2020 study included 66 variables related to I & A that surfaced from our qualitative interviews...
We’ve grouped these drivers into 3 different dimensions…
So lets look at Total Experience first…
Over-performers link everything they do to a clear brand purpose…
Looking a little deeper into this driver of CC across brands, we see a journey of living the purpose...
Over-performers much more often than under-performers create experiences based on data...
In developing positioning and innovation territories segmentation is very powerful…
I now turn to the second dimension of CC – customer obsession, the mindset companies have…
For over-performers, Customer Centricity is embraced by all levels and functions in the organization...
In fact, this turns out to be the strongest driver of growth than any other driver we investigated
I was with Eric Ryan, founder of Method last week...
I was impressed by how...
Over-performers consistenly make CC a priority for leadership, and base their incentives on truly customer centric KPIs much more than under-perfromers do
The guys at ABInBev truly embody Customer Centricity from a leadership perspective
They not only…
Over-performers systematically embrace risk and experiment
Yet even the proportion of over-performers is low
This is no surprise, as the very institution of the corporation was designed to...
When we started I2020 we approached a research executive at LinkedIn to ask about being an official partner on the study...
Amazon has a culture of experimentation where it’s ok to fail...
Google is another example of experiemntation mindset
Many innovations at Google...
Case study Unilever
All Things Hair
Real-time media monitoring resulted in the successfull All Things Hair YouTube channel
Allowed to anticipate hairstyle trends and shape demand for related products
Using a custom tool to analyze hair-related Google searches (about a billion per month), the program identifies styling trends and rapidly creates how-to videos featuring Unilever products on a Youtube channel
Over 125M views since launch in 2013
Case study LinkedIn – The Economic Graph
LinkedIn can look at every LinkedIn member with a specific skill set in each region (for example, computer science – C/C++) and look at the attention they receive from recruiters to map out supply and demand. Our data can show that for example London is a highly competitive market, with lots of supply and lots of demand. Copenhagen is significantly less competitive – what LinkedIn would call a “hidden gem” market. In addition, governments such as the UAE and city councils are leveraging this data to inform and understand how to attract talent to their workforce and economies and to understand potential shifts.
Looking at migration trends for every region in the world, for any skills set combined with census and additional sources is one example of the power of data. Again, because of LinkedIn’s ability to store, compute, and transmit this information at increasing speed and accuracy, LinkedIn can quantify previously un-seeable phenomenon like the migration of human capital.
In this case, how STEM talent migrated across the globe in 2013. Using the LinkedIn data to keep a close eye on migration trends across the world can be a powerful signal in the creation of economic opportunity. Knowing how careers, companies and countries fit into the ever-shifting global economy can be a source of individual empowerment.
Case Study SAB Miller – How world’s second largest beer brewer SABMiller truly unlocked the power of data
SAB Millers has gone through a 3 year journey in order to unlock the power of data
In a very early stage, a data vision statement and data standards was created
the task became to link different data sources into 1 system The core of this was Horizontality of data: Google Analytics, FB, Twitter, Advocacy, data all put into the Global Digital Reporting Platform (GDRP).
The full integration of data, on- and offline was the next challenge
Secret is dont go for perfect
All data into one, fully open system; no walled gardens. System is built to insert more future sources.
Building a flexible and open system that can host more future (on- and offline) data sources.
THE RESULT: Media efficiency in market that have adopted and trained increased up to 50%. Markets that use it are more successful
Global tool, local usage. Everything can be rolled up from country to region to global level
Won the Data Integration Award. They also received highly commended recognition for the Data Driven Business category.
Whole-brain thinking - Insights functions are skilled at whole-brain thinking
What does this mean: There is a need to develop an insights function that combines creativity with analytical and quantitative depth.
The Challenge: Todays insights teams must think holistically, exercising creative “right-brain” skills, as well as traditional “left-brain” analytical orientations. This requires recruiting whole-brain talent and encouraging the mindset across the existing organization.
FROM insights function primarily favoring analytical thinking TO insights function seamlessly integrating creative and analytics perspectives
Case Study Unilever
Eliminating unnecessary reporting created space for creative “Magic” skills workshops as well as hands-on customer home visits from Marketers and R&D Staff
Upping your Elvis workshops
Interactive and energetic trainings
Pushes people out of their default thinking styles and tets them to engage in creative problem solving with colleagues they might not normally connect with
Recent workshop: brought together people from marketing, R&D, CMI and other areas and asked them to brainstorm ways to boost hair-conditioner sales in Southeast Asia
Other CMI workshops: focus is on linking data about markets and brand performance to the actual consumer experience. Marketers, R&D staff, and others in the organization will go to people’s homes to wash clothes or cook a meal, seeing first-hand how users engage with Unilever products
In all cases, employees leave workshops with new collaboration tools, and they become role models and evangelists for whole-brain thinking
Experimentation – Insights teams embrace risk & experimentation
What does this mean: It is becoming critical to cultivate a culture of experimentation where employees can freely commit a part of their time, resources or even budget to fuel innovation.
The Challenge: The biggest challenge is in shifting the internal mindset, which for years has focused on managing risk by creating systems and process around risk mitigation and management.
FROM managing risk TO embracing risk
Case Study Unilever
Unilever has formalized experimentation in a variety of ways – most visibly in its 2014 launch of the Foundry.
Originally a marketing-technology start-up incubator, the Foundry has since expanded to include:
Hackathons
A collaboration platform for addressing sustainability issues
Another platform that sources and gives prizes for creative marketing concepts
And a mentoring program that connects start-ups with Unilever experts who advise on product and brand development and marketing strategy
Foundry investments include:
‘Shark Tank’ initiative - Inviting start-ups to pitch for investment and collaboration
Acquisition of Dollar Shave Club - example of experimenting with e-commerce, something not native to UL’s expertise.
Percolate - System for building a global consistent brand presence across channels
BrandTone - Mobile platform to build brands by using consumer’s mobile data to create custom awards and targeted promotional brand campaigns
Independence – Insights team leaders report directly to C-suite executives
What does this mean: Winning companies recognize that there is a need for their insights team leaders to have a seat at the table, reporting not just into marketing but also to other C-suite executives.
The Challenge: In most organizations, insights leaders report into marketing only, making it difficult for them to collaborate fully with other functions and even set the strategic direction of projects.
FROM biased insights treams serving marketing only TO independent insights teams with an objective perspective across all business projects
Storytelling – Insights teams convey messages through engaging narratives
What does this mean: Insights teams should communicate data in the form of relatable stories, which are more memorable and persuasive than traditional data heavy analyses.
The Challenge: Insights presentations are extremely data-intensive and typically focused on “facts” with an attitude that “more is more.” There is a need to move to a “show, don’t tell” approach in order to better persuade audiences and connect with end-users.
FROM fact-filled messaging and communication TO fact-based storytelling
So what are some learnings you can immediately implement?
Beyond focusing on just products and services, start focusing on
Beyond focusing on the correctness of the data...
Beyond managing risk…
Embrace the paradox
Beyond delivery to our customers to...
Each of you will likely be at a different point on the journey...
Over the next months...
We want you to join the conversation
True to the nature of the of I2020, the findings presented here are not static...
I2020 is not a study
It is a movement, that will grow over the years to come
Thank you for listening
We have time for a few Questions