A national furniture retailer upgraded its marketing efforts with real-time signals to determine how and when to use promotions. By only showing discounts to on-the-fence shoppers who needed an incentive to purchase, they were able to optimize their promotional spend — driving higher conversion and protecting margins.
With Session AI’s real-time predictions they were able to segment consumers by purchase intent, enabling the brand to target messaging, promotions, and incentives to the right visitors, while they’re still actively shopping.
How we helped
With these real-time AI signals, the retailer is also able to use social proof to drive conversions for its on-the-fence consumers. By showing the number of other customers who have the same item in their carts, competitive price comparisons, and real-time counts of active product page views, the retailer is able to drive urgency. This helped improve their AOV, RPV, and CVR and increase their revenue by millions of dollars.
Session AI ROI
Using Session AI, the furniture retailer uncovered unique segments based on early purchase predictions. This session-based segmentation uniquely allowed the retailer to increase CVR by 20% and sales by nearly $3 million without gathering personally identifiable information — a key capability that positions the retailer to grow its market share in an increasingly competitive and privacy-focused ecommerce market.