Rebuy
AI-powered upsell and recommendation engine built exclusively for Shopify stores.
Independent overview by new Mantra · updated July 16, 2026
- Category
- Sales
- Pricing
- Rebuy Monetize free; build-your-own à la carte packages from $25/mo (scales with monthly orders); Platform One all-package bundle from $534/mo billed monthly
- Implementation
- 1-2 weeks
- Adoption risk
- Low
- Integrates with
- Shopify, Klaviyo, Recharge, Yotpo, Okendo
What Rebuy does
Rebuy sits inside your Shopify store and uses machine learning to decide which products to show each shopper — in the cart, at checkout, and after the order is placed. Instead of manually curating recommendation widgets, you point Rebuy at your catalog and let its prediction engine surface relevant suggestions in real time based on browsing and purchase behaviour.
Beyond recommendations, Rebuy includes a customisable slide-out cart, checkout extensions (Shopify Plus only), post-purchase offer pages, AI-powered search, and a no-code workflow builder for creating personalised customer journeys. You can layer in your own rules — for example, always recommend a specific product during a launch week — on top of the AI defaults.
The platform connects with solutions many Shopify merchants already use, including Klaviyo, Recharge, Yotpo, and Okendo, so recommendation logic can draw on subscription status, loyalty data, or review signals rather than purchase history alone.
Key capabilities
Cart and Checkout Upsells
A customisable slide-out cart surfaces personalised upsell and cross-sell offers before the shopper leaves. Shopify Plus merchants can extend this into the checkout itself using drag-and-drop widgets.
Post-Purchase Offers
Targeted product recommendations appear between the order confirmation and thank-you page, reaching shoppers at a moment of high intent without interrupting the original transaction.
AI-Powered Site Search
Smart Search adapts results to individual shopper behaviour and surfaces personalised product recommendations alongside search results, backed by analytics.
Dynamic Bundles and Bundle Builder
Merchants can present pre-curated bundles or let shoppers build their own, with flexible SKU logic, discount options, and subscription bundle support — no code required.
Rules Engine and A/B Testing
A conditional logic layer lets you override or guide AI recommendations with your own merchandising rules. Built-in A/B testing lets you measure the revenue impact of different configurations.
No-Code Workflow Builder
Smart Flows lets you design personalised shopping journeys — link-based or on-site — to reduce steps to checkout and drive conversions without developer involvement.
Best for
- Shopify and Shopify Plus merchants who want to increase average order value through automated, personalised recommendations without building custom tooling.
- Stores already using Klaviyo, Recharge, Yotpo, or Okendo who want recommendation logic to incorporate that data.
- Brands running subscription products that need bundling and upsell flows tailored to both one-time and recurring buyers.
- Merchants who want to test and iterate on merchandising decisions using built-in A/B testing rather than gut feel.
- Teams with limited developer resource who need a no-code or low-code way to manage cart, checkout, and post-purchase experiences.
Worth knowing
- Rebuy is Shopify-only. If your store runs on a different platform — or you plan to migrate away from Shopify — this solution is not applicable.
- Checkout customisation features require Shopify Plus. Merchants on standard Shopify plans will not have access to checkout extension capabilities.
- Pricing scales with monthly order volume, so cost can grow meaningfully as your store scales. Worth modelling against your order projections before committing.
- Implementation is estimated at one to two weeks, which is relatively light, but getting the most from rules, flows, and A/B testing will require ongoing attention from whoever owns your ecommerce stack.
- If your primary need is email personalisation, CRM-driven segmentation, or off-site advertising rather than on-site merchandising, a different category of solution is likely a better fit.
Related solutions
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