
AI Win-Back Agent for Klaviyo
Re-engages lapsed customers with offers matched to their history, connected natively to Klaviyo so it reads and updates profiles, lists, segments, events…
Most online stores lose sales they never see: abandoned carts, customers who quietly stop buying, bundles nobody suggested. Revenue products go after that money. They recommend products, recover carts, win back lapsed buyers, plan promotions and model customer value, with editions connected natively to Shopify, WooCommerce, BigCommerce, Adobe Commerce and Klaviyo.

Re-engages lapsed customers with offers matched to their history, connected natively to Klaviyo so it reads and updates profiles, lists, segments, events…

Re-engages lapsed customers with offers matched to their history, connected natively to Shopify so it reads and updates customers, orders, products and…
Look at the customer journey in order. Before purchase, shoppers need the right suggestions. At checkout, some leave. After purchase, some never come back. Each moment has a matching product, so you can start where the leak is biggest and add the others later.
If you run Shopify, WooCommerce or BigCommerce, the abandoned cart and recommendation products have native editions for your platform. Adobe Commerce has a recommendation edition. Klaviyo users can pick abandoned cart and win-back editions that read and update profiles, lists, segments, events and flows.
The Shopify win-back edition reads and updates customers, orders, products and discount codes, so offers can be matched to each buyer's history. Native editions save setup work because they connect straight to the records your store already keeps, rather than relying on exports or a separate copy of your data.
Discounts can win sales and still lose money. AI Promotion Planner plans promotions and estimates their margin impact before launch. AI Ecommerce Pricing Assistant recommends price changes using margin, stock and competitor data, and sends them for approval. AI LTV Intelligence models lifetime value by cohort, channel and first product, which shows which customers are worth investing in.
No. AI Ecommerce Pricing Assistant recommends price changes for approval, and your team reviews each recommendation before anything changes. The tool does the analysis of margin, stock and competitor data, but the decision stays firmly with you and your merchandising team.
AI Ecommerce Churn Agent identifies customers likely to stop buying and triggers retention flows before they go. AI Win-Back Agent works on customers who have already lapsed, re-engaging them with offers matched to their history. One prevents the loss and the other recovers it.
Yes. AI Repeat Purchase Agent predicts replenishment timing and reminds customers to reorder, which suits products people buy again and again. AI Post-Purchase Agent covers the wider follow-up after an order, including onboarding messages, cross-sell suggestions and requests for reviews.
Tick Compare on up to four products to see scope, price and delivery side by side. If you would rather talk it through, an expert can help you pick the one that fits how you work.