AI Recommendations use shopper behavior and product data to surface relevant products, helping ecommerce brands create more personalized shopping experiences and increase average order value (AOV).
81% of shoppers expect a personalized experience when they shop online, yet nearly 50% feel that online merchants regularly miss the mark on personalized content.
In this case study, we spotlight six campaigns leveraging AI Recommendations. Explore how Upsellit’s recommendations perform across different industries, complete with in-depth campaign insights and performance metrics.
Download the case study to discover AI Recommendations that:
- Turn out of stock products into opportunity with alternative suggestions
- Get shoppers over the finish line for free shipping
- Leverage MiniCarts and cart page recommendations to showcase complementary products
- Encourage shoppers to bundle and save
- Work alongside tiered incentives to boost AOV
Managed Conversion Optimization
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