- Use Cases
Combine Browsing and Instore Purchase Data
Link online and offline data relating to same customer.
Link customer profiles from separate systems as before or after merger.
Link online and offline data relating to same customer.
Improve the quality of ingested customer data.
Enrichment (Append External Data)
Append external attribute and behavioral data to existing customer records
Identify the most accurate available information for each customer attribute and share it with other systems.
Associate individuals with businesses in B2B data
Onboarding (Append External IDs)
Append external identifiers to existing customer records
Use CDP to show personal data to customers, to store consent records, and as connection to source systems.
Use CDP pixel on Web site to capture user behavior.
Track customer actions over time.
Identify attributes common to best customers.
Identify individual customers who have returned high value.
Determine which channels work best for each customer.
Find customer segments that could be contacted more often with good results.
Journey Analytics Identify the sequence of interactions associated with different tasks.
Generate reports based on Key Performance Indicators.
Tag customers who belong to previously defined life stages.
Locate Field Events Based on Intent
Locate field events in areas where there are high concentrations of customers with strong purchase intent.
Measure Campaign Effectiveness (Attribution)
Estimate the change in behavior caused by a marketing program.
Compare behaviors of customers in different long-running marketing programs.
Tag customers who belong to previously defined segments.
Identify sets of customers that can be usefully treated as segments.
Send messages to customers who abandon shopping carts and stop sending messages when no longer relevant.
Synchronize DMP and CDP data.
Email List Creation Select the best customers for an email campaign.
Remove previous buyers from campaigns for specific products.
Notify customers of new features that are relevant to them.
Personalized Message Selection
Provide customer-level data to personalization system.
Send messages to customers who have stopped doing business or are at risk.
Send audiences to social media ad vendors.
Send messages to customers based on specified actions or events.
Agent Access to Individual Profiles
Present complete customer history to call center or sales agent during interactions.
Select best product for known customers in real time based on their past data.
Real Time Behavioral Profiling Classify anonymous visitors in real time based on their behaviors.
Real Time Content Recommendations
Select content for known customers in real time based on their past data.
Real Time Location-based Personalization
Select best message in real time based on current customer location and past data.
Select offer for known customers in real time based on their past data.
Add intent data from external sources to customer profiles in CDP.
Select best offer using model based on CDP data.
Estimate likelihood of customer churn using model based on CDP data.
Send emails or other outbound messages at optimal time for each customer.
Select best prospects (on external lists) using model based on CDP data.
Select loyalty incentive using model based on CDP data.
Select best prospects (among existing leads) using model based on CDP data.
Estimate likelihood of repurchase using model based on CDP data.
Estimate customer interest in different topics using a predictive model based on CDP data.
Estimate likelihood of unsubscription using model based on CDP data.
Estimate future value of customer using model based on CDP data.
Send optimal messages to customers across all channels.
Reduce support costs and customer frustrations by offering help to customers who need assistance before they request it.
Send optimal treatments to retain existing customers.
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