Library

Content Type : Use Case
Industry :
Topics :

Engage Time Optimization (CDP Institute)

Send emails or other outbound messages at optimal time for each customer. Process: Execute model based on CDP data; store result on profile for use in CDP or other systems.

Cross-channel Campaigns (CDP Institute)

Send optimal messages to customers across all channels. Process: Develop models to predict response to alternative treatments, select best channels, select bet timing, and make other choices needed to determine optimal treatment to each customer. Send instructions to delivery systems to execute.

Lookalike Models (CDP Institute)

Select best prospects (on external lists) using model based on CDP data. . Process: Send data on best customers to external system, which will match against its data, build a lookalike model, and return highest-ranked prospects to load into CDP or other systems

Loyalty Incentive Selection (CDP Institute)

Select loyalty incentive using model based on CDP data. . Process: Execute model based on CDP data; store result on profile for use in CDP or other systems

Prospect Selection (CDP Institute)

Select best prospects (among existing leads) using model based on CDP data. . Process: Execute model based on CDP data; store result on profile for use in CDP or other systems

Repurchase Prediction (CDP Institute)

Estimate likelihood of repurchase using model based on CDP data. . Process: Execute model based on CDP data; store result on profile for use in CDP or other systems

Unsubscribe Prediction (CDP Institute)

Estimate likelihood of unsubscription using model based on CDP data. . Process: Execute model based on CDP data; store result on profile for use in CDP or other systems

Best Offer Selection (CDP Institute)

Select best offer using model based on CDP data. . Process: Execute model based on CDP data; store result on profile for use in CDP or other systems

Value Prediction (CDP Institute)

Estimate future value of customer using model based on CDP data. . Process: Execute model based on CDP data; store result on profile for use in CDP or other systems

Churn Prediction (CDP Institute)

Estimate likelihood of customer churn using model based on CDP data. . Process: Execute model based on CDP data; store result on profile for use in CDP or other systems

Real Time Location-based Personalization (CDP Institute)

Select best message in real time based on current customer location and past data. Process: Receive real time stream of visitor locations and IDs from channel system; use location to look up relevant information (e.g. local weather); use ID to find visitor’s profile in the CDP; use location plus profile to infer customer context (e.g. work, home, vacation); apply rules or predictive models to select best message using all data; send to channel system for delivery; track behavior during session and make new adjusted selections.

Agent Access to Individual Profiles (CDP Institute)

Present complete customer history to call center or sales agent during interactions. Process: Receive customer ID or attributes from channel system; find customer’s profile in CDP and display selected data on agent screen.