Retail

Driving omni-channel loyalty through Dynamic Offer Optimization

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Business
Objectives

Drive up in-store visits

Increase shopper frequency and engagement through all digital and offline channels with personalized, dynamic offers.

Cross-sell across categories or brands

Stretch loyal customers into new categories, brands or product lines with multi-action offers that drive new purchase behaviors.

Increase turnover of seasonal items

Accelerate purchases of seasonal items with dynamic offers that efficiently utilize your loyalty rewards

Case study

After implementing dynamic offers, a national home improvement retailer was able to sustainably increase the engagement of their loyal base while also improving the efficiency of offer campaigns through machine-learning powered optimization.

26%

Personalized offers drove a 26% increase in campaign registrants

10x

Optimization of offers increased campaign completion rates by 10x

1000x

ML scaled the number of automated offer variations by 1000x

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