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AgilOne Report

10 Predictions for
Data-Driven Marketers in
2014
Based on the AgilOne Retailer Survey
The AgilOne Retailer Survey
How well have retail marketers adopted data-driven marketing
practices, and what are they planning for 2014?
Our findings and predictions are based on the detailed survey
responses from 70 mid-market retail executives about their use of
big data and predictive analytics in day-to-day marketing.
Take a look at the results in the following slides along with our
2014 Retail Marketing Predictions.
The big data revolution is happening
Prediction 1

By the end of 2014, 80% of retailers will have a central customer data
warehouse with the ability to link all data points to unique customers across
channels.

NO

20%
Survey Question and Response
Have you built a central customer data warehouse?

Planning in the
next 12 months

29%

YES

51%
Less than 1/3 of retailers currently have a
complete picture of their customers
Prediction 2

More companies will integrate offline, call center and loyalty transactions
with their online customer data.

Online
Email
Transactions Engagement

76%

Survey Question and Response
What types of customer data do you include
in your warehouse?

69%

Offline
Transactions

Website
Clicks

47%

44%

Call
Loyalty
Center
Points and
Conversions Transactions

30%

27%

None of
the Above

16%
Predictive analytics is quickly becoming
mainstream
Prediction 3

By the end of 2014 nearly 70% of retailers will be using predictive analytics
for at least one of their channels.

NO

Survey Question and Response
Are you using predictive analytics in your marketing?

31%
Planning in the
next 12 months

25%

YES

44%
Likelihood to buy is the most popular
predictive model
Prediction 4

Marketers will move beyond using likelihood to buy predictions and will begin
to utilize recommendations, customer clusters and likelihood to churn
predictions.

Likelihood
To Buy

Survey Question and Response
For those who use predictive models,
which of the following predictive models
do you use?

Product
Clusters

73%

41%

Predicted
Behavioral
Likelihood Likelihood
Lifetime Cross-Sell Clusters
Upsell
to
to
Value Recommend
Recommend Churn
Engage

41%

41%

37%

33%

31%

29%

Brand
Clusters

27%

Predicted Likelihood
Next-Sell Share of
to
Recommend Wallet Unsubscribe

24%

14%

12%
Most marketers are only using predictive
analytics for email
Prediction 5

Predictive modeling will move beyond email and direct mail to include social
media and offline transactions.

Email

82%

Survey Question and Response
For those who use predictive
models,
in which of the
following channels are
you using them?

Direct
Mail

41%

Social

Phone
Call
Center

Brick and
Mortar
Stores

Website

31%

20%

12%

4%
Customer segmentation becomes a must
Prediction 6

Nearly 70% of retailers will be doing customer segmentation by the end of
2014.

NO

Survey Question and Response
Are you using predictive (clustering or other)
models to segment your customers?

32%
Planning in the
next 12 months

24%

YES

44%
Customer retention marketing is
becoming a priority
Prediction 7

In 2014 marketers will move beyond new customer welcome
campaigns and (finally) launch abandoned cart campaigns, customer
win-back, and VIP appreciation programs.
New
Customer
Welcome

Which of the following programs have
you completely implemented?

Email
Retargeting

Lapsed
Customer
Win-back

VIP
Customer
Program

53%

Survey Question and Response

Abandoned
Cart
Campaign

39%

36%

30%

26%

Post
Pro-active
Purchase Touch of At-risk
Recommend
Customers

24%

16%

None of
the Above

13%
Marketers are choosing channels based
on predicted lifetime value
Prediction 8

Over two-thirds of retail marketers will decide how to invest their
marketing dollars based on which channels attract customers with
the highest lifetime value.

NO

Survey Question and Response
Are you allocating marketing dollars to programs
and channels based on predicted lifetime value?

31%
YES

26%

Planning in the
next 12 months

43%
More marketers discover Facebook
lookalike campaigns
Prediction 9

By the end of next year, almost half of marketers will have tried
Facebook lookalike campaigns to acquire more valuable customers.
Planning in the
next 12 months

Survey Question and Response
Are you using Facebook lookalike audiences to find
customers similar to your best (most valuable) customers?

13%
NO

YES

36%

51%
More marketers will learn to use data
Prediction 10

Half of retailers will outsource the CREATION of analytics models,
but most will have marketers on staff who know how to USE analytics.

Survey Question and Response

Survey Question and Response

Do you have an in-house resource to CREATE
predictions and analytics?

Do you have an in-house resource to USE
predictions and analytics?

Planning in the
next 12 months

11%
YES

39%

NO

50%

11%
NO

26%

YES

63%
Key Takeaways
• Retailers that do not invest in building a

• Most retailers still have work to do to get all

central customer data warehouse and
predictive analytics will quickly fall
behind.

customer data in one place, specifically
offline data, and to expand the use of
predictive analytics beyond email.

• 80% of retailers will have some form of

• Those who implement a central customer

central customer data warehouse and
70% will use some form of predictive
analytics within the next 12 months.

data warehouse can reduce marketing
campaign costs 5x, and those who run
predictive campaigns have up to triple the
margins.
Next Steps
• Learn more about data-driven marketing at www.agilone.com/academy/.
• Sign up for data-driven marketing tips in your inbox at www.agilone.com/blog/.
• Check out the AgilOne cloud for data-driven marketing at www.agilone.com.
• Contact us with any questions at info@agilone.com or (877) 769 3047.
info@agilone.com  (877) 769 3047

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2014 data driven marketing predictions

  • 1. AgilOne Report 10 Predictions for Data-Driven Marketers in 2014 Based on the AgilOne Retailer Survey
  • 2. The AgilOne Retailer Survey How well have retail marketers adopted data-driven marketing practices, and what are they planning for 2014? Our findings and predictions are based on the detailed survey responses from 70 mid-market retail executives about their use of big data and predictive analytics in day-to-day marketing. Take a look at the results in the following slides along with our 2014 Retail Marketing Predictions.
  • 3. The big data revolution is happening Prediction 1 By the end of 2014, 80% of retailers will have a central customer data warehouse with the ability to link all data points to unique customers across channels. NO 20% Survey Question and Response Have you built a central customer data warehouse? Planning in the next 12 months 29% YES 51%
  • 4. Less than 1/3 of retailers currently have a complete picture of their customers Prediction 2 More companies will integrate offline, call center and loyalty transactions with their online customer data. Online Email Transactions Engagement 76% Survey Question and Response What types of customer data do you include in your warehouse? 69% Offline Transactions Website Clicks 47% 44% Call Loyalty Center Points and Conversions Transactions 30% 27% None of the Above 16%
  • 5. Predictive analytics is quickly becoming mainstream Prediction 3 By the end of 2014 nearly 70% of retailers will be using predictive analytics for at least one of their channels. NO Survey Question and Response Are you using predictive analytics in your marketing? 31% Planning in the next 12 months 25% YES 44%
  • 6. Likelihood to buy is the most popular predictive model Prediction 4 Marketers will move beyond using likelihood to buy predictions and will begin to utilize recommendations, customer clusters and likelihood to churn predictions. Likelihood To Buy Survey Question and Response For those who use predictive models, which of the following predictive models do you use? Product Clusters 73% 41% Predicted Behavioral Likelihood Likelihood Lifetime Cross-Sell Clusters Upsell to to Value Recommend Recommend Churn Engage 41% 41% 37% 33% 31% 29% Brand Clusters 27% Predicted Likelihood Next-Sell Share of to Recommend Wallet Unsubscribe 24% 14% 12%
  • 7. Most marketers are only using predictive analytics for email Prediction 5 Predictive modeling will move beyond email and direct mail to include social media and offline transactions. Email 82% Survey Question and Response For those who use predictive models, in which of the following channels are you using them? Direct Mail 41% Social Phone Call Center Brick and Mortar Stores Website 31% 20% 12% 4%
  • 8. Customer segmentation becomes a must Prediction 6 Nearly 70% of retailers will be doing customer segmentation by the end of 2014. NO Survey Question and Response Are you using predictive (clustering or other) models to segment your customers? 32% Planning in the next 12 months 24% YES 44%
  • 9. Customer retention marketing is becoming a priority Prediction 7 In 2014 marketers will move beyond new customer welcome campaigns and (finally) launch abandoned cart campaigns, customer win-back, and VIP appreciation programs. New Customer Welcome Which of the following programs have you completely implemented? Email Retargeting Lapsed Customer Win-back VIP Customer Program 53% Survey Question and Response Abandoned Cart Campaign 39% 36% 30% 26% Post Pro-active Purchase Touch of At-risk Recommend Customers 24% 16% None of the Above 13%
  • 10. Marketers are choosing channels based on predicted lifetime value Prediction 8 Over two-thirds of retail marketers will decide how to invest their marketing dollars based on which channels attract customers with the highest lifetime value. NO Survey Question and Response Are you allocating marketing dollars to programs and channels based on predicted lifetime value? 31% YES 26% Planning in the next 12 months 43%
  • 11. More marketers discover Facebook lookalike campaigns Prediction 9 By the end of next year, almost half of marketers will have tried Facebook lookalike campaigns to acquire more valuable customers. Planning in the next 12 months Survey Question and Response Are you using Facebook lookalike audiences to find customers similar to your best (most valuable) customers? 13% NO YES 36% 51%
  • 12. More marketers will learn to use data Prediction 10 Half of retailers will outsource the CREATION of analytics models, but most will have marketers on staff who know how to USE analytics. Survey Question and Response Survey Question and Response Do you have an in-house resource to CREATE predictions and analytics? Do you have an in-house resource to USE predictions and analytics? Planning in the next 12 months 11% YES 39% NO 50% 11% NO 26% YES 63%
  • 13. Key Takeaways • Retailers that do not invest in building a • Most retailers still have work to do to get all central customer data warehouse and predictive analytics will quickly fall behind. customer data in one place, specifically offline data, and to expand the use of predictive analytics beyond email. • 80% of retailers will have some form of • Those who implement a central customer central customer data warehouse and 70% will use some form of predictive analytics within the next 12 months. data warehouse can reduce marketing campaign costs 5x, and those who run predictive campaigns have up to triple the margins.
  • 14. Next Steps • Learn more about data-driven marketing at www.agilone.com/academy/. • Sign up for data-driven marketing tips in your inbox at www.agilone.com/blog/. • Check out the AgilOne cloud for data-driven marketing at www.agilone.com. • Contact us with any questions at info@agilone.com or (877) 769 3047.