eCommerce
Optimize Offers to Increase Digital Engagement and Shopper Frequency
Business
Objectives

Improve onboarding engagement
Accelerate the onboarding of new users with multi-action offers that drive users to fill out preferences immediately after first-purchase.

Drive loyalty for new products
Increase customer stickiness with personalized offers that encourage a second purchase in new or adjacent product categories.

Reactivate churning customers
Use personalized actions and rewards to reactivate customers who are at risk of churning, and improve LTV.
Case study

By scaling their personalized offers, an international, ecommerce loyalty provider was able to increase first-party data collection to create a continuous, data-driven cycle of personalization that more deeply engages their loyal customer base.
50x
Personalized offers drove 50x greater collection of customer preferences
500x
Ongoing campaign experimentation increased app downloads 500%
1000x
Ongoing campaign experimentation increased app downloads 500%
The Value of Dynamic Offer Optimization
-
2-8%
From increased purchase frequency, order value, and conversions
-
40-60%
From optimizing reward spend for each individual vs. mass offers
-
100x
Self-service SaaS product removes manual work associated with executing offers
Product Capabilites Overview
Productized offer types
Catalog of offers that enable brands to solve any business challenge
Multi-action state
Gamified offers that create an emotional connection with customers
Automated generation of personalized offers at scale
Create, fulfill and measure dynamic offers without additional operational overhead
Machine-learning optimization
Continuous data-driven personalization, to increase the efficiency of reward spend
Full-stack integration
Integrate all existing technologies & data sources to create dynamic relevancy
Test, measure, and learn
Ongoing, automated testing to ensure the most valuable reward configurations are offered