CUSTOMER DATA AND THE AGE OF PREDICTIVE MARKETING eTail Europe 2013
of marketers still practice one-size-fits-all marketing
52% of marketers don’t try to reengage lapsed customers
50% of marketing deemed irrelevant by consumers
85%
One-Size-Fits-All marketing does not work anymore
§ Predicted lead conversion
§ Welcome-2nd order offer by product
§ High predicted LTV
§ Product interest-browsed
§ Product interest-cart § Product interest-
purchase § Behavioral clusters
(AOV) § Brand clusters § Need clusters § Single category
§ High value at-risk customers
§ Disengaged customers
§ High return complainers
§ Need based cluster reactivation
§ High value-High Size of wallet customers
new growth at-risk lapsed
What if you could target with precision?
6/25/13 AGILONE CONFIDENTIAL
An Online Outdoor Retailer … Moving away from batch-n-blast towards personalized product content, using both purchases and web browsing behavior, increased email revenues 122% annually.
Here is what amazing looks like
An Online Pet Store …
6/25/13 AGILONE CONFIDENTIAL
With surgical discounts and free shipping for newbies gained 18% more sales from repeat buyers.
One time buyers make up more than half of customers as 70% of first time customers never come back.
Here is what amazing looks like
A Jeans Manufacturer …
6/25/13 AGILONE CONFIDENTIAL
Grew revenues by 7% using behavioral customer clusters and product recommendations. Personalized emails resulted in 20% reactivation of inactive customers; 100% more click-through rate and 50% more response rate.
Here is what amazing looks like
Data Science can help, but is also really hard, slow and expensive
of marketers want to learn SQL
0%
8
What do you need to get started with PREDICTIVE MARKETING
Data Management
• All customer data in one place
• De-duplication, linking and cleansing
Predictive Analytics
• The right predictive model for the right situation
• Right message, right customers, right time
Campaign Execution
• Personalized email campaigns, dynamic web content, direct mail and in-store experiences
Customer Data & Predictive Marketing Amazing things happen with
GOOD FOR BUSINESS § +3% margins § +8% revenues § +20% LTV § +100% engagement
GOOD FOR CUSTOMERS § Personal relationship § Connected & engaged § Loyal and satisfied § Brand advocates
GOOD FOR YOU § Love your job § Kick some ass § Innovate marketing § Awesome results
THANKS FOR LISTENING Paul Gibson email: [email protected] mobile: 07557 115279 skype: paulgibsl
Find out more by visiting www.agilone.com