Combine Browsing and Instore Purchase Data

Link online and offline data relating to same customer.

Combine Data for Merger

Link customer profiles from separate systems as before or after merger.

Combine Online and CRM Data

Link online and offline data relating to same customer.

Data Quality

Improve the quality of ingested customer data.

Enrichment (Append External Data)

Append external attribute and behavioral data to existing customer records

Golden Record

Identify the most accurate available information for each customer attribute and share it with other systems.

Lead to Account Match

Associate individuals with businesses in B2B data

Onboarding (Append External IDs)

Append external identifiers to existing customer records

Privacy Compliance

Use CDP to show personal data to customers, to store consent records, and as connection to source systems.

Tag Management

Use CDP pixel on Web site to capture user behavior.

Behavior Analysis

Track customer actions over time.

Best Customer Profiles

Identify attributes common to best customers.

Find High Value Customers

Identify individual customers who have returned high value.

Identify Channel Preference

Determine which channels work best for each customer.

Identify Underserved Segments

Find customer segments that could be contacted more often with good results.

Journey Analytics Identify the sequence of interactions associated with different tasks.

KPI Reporting

Generate reports based on Key Performance Indicators.

Life Stage Assignment

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.

Run Stream Tests

Compare behaviors of customers in different long-running marketing programs.

Segment Assignment

Tag customers who belong to previously defined segments.

Segment Discovery

Identify sets of customers that can be usefully treated as segments.

Abandoned Cart Campaigns

Send messages to customers who abandon shopping carts and stop sending messages when no longer relevant.

DMP Interactions

Synchronize DMP and CDP data.

Email List Creation Select the best customers for an email campaign.

Exclude Previous Buyers

Remove previous buyers from campaigns for specific products.

Feature Notifications

Notify customers of new features that are relevant to them.

Personalized Message Selection

Provide customer-level data to personalization system.

Reactivation Campaigns

Send messages to customers who have stopped doing business or are at risk.

Social Media Audiences

Send audiences to social media ad vendors.

Trigger Messages

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.

Cross Sell and Upsell

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.

Real Time Offer Selection

Select offer for known customers in real time based on their past data.

Append Intent Data

Add intent data from external sources to customer profiles in CDP.

Best Offer Selection

Select best offer using model based on CDP data.

Churn Prediction

Estimate likelihood of customer churn using model based on CDP data.

Engage Time Optimization

Send emails or other outbound messages at optimal time for each customer.

Lookalike Models

Select best prospects (on external lists) using model based on CDP data.

Loyalty Incentive Selection

Select loyalty incentive using model based on CDP data.

Prospect Selection

Select best prospects (among existing leads) using model based on CDP data.

Repurchase Prediction

Estimate likelihood of repurchase using model based on CDP data.

Topic Interest Prediction

Estimate customer interest in different topics using a predictive model based on CDP data.

Unsubscribe Prediction

Estimate likelihood of unsubscription using model based on CDP data.

Value Prediction

Estimate future value of customer using model based on CDP data.

Cross-channel Campaigns

Send optimal messages to customers across all channels.

Preemptive Customer Support

Reduce support costs and customer frustrations by offering help to customers who need assistance before they request it.

Retention Campaigns

Send optimal treatments to retain existing customers.