eCommerce

Optimize Offers to Increase Digital Engagement and Shopper Frequency

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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