Retail
Driving omni-channel loyalty through Dynamic Offer Optimization
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
Frequency
Accomplish key business objectives with dynamic offers
Increase omni-channel frequency
Cross-Sell
Accomplish key business objectives with dynamic offers
Cross Sell across categories, brands or product lines
Move Product
Accomplish key business objectives with dynamic offers
Increase turnover of seasonal items
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