Before You Go vs Rebuy

This is a fair comparison to make because both tools do affinity-based product recommendations as a real product, not as a side-feature, and both take the recommendation problem seriously. The honest answer is that they sit in different parts of the funnel — Rebuy on the active-browsing surfaces (PDP, cart drawer, checkout), Before You Go on the about-to-leave moment — and most stores that care about discovery end up with both. The rest of this page explains where each one wins and why the choice usually isn't either-or.

What Rebuy does

Rebuy is a Shopify-only personalization platform with a strong reputation for in-flow recommendations. The placements are configurable across the funnel: cart drawer (frequently bought together, completes the look), product page (related products, you-may-also-like sections), checkout extensions on Shopify Plus, and post-purchase upsell flows. There's also a search-and-collections module, an A/B testing framework, and a flow builder that lets the team write rules for which recommendations fire on which surfaces.

The recommendation engine itself is rule-driven with optional AI scoring layered on. Merchants configure which strategies to run on which placements — same-collection, same-tag, frequently-bought-with, manual overrides, and so on — and the engine picks products for each shopper based on the rules and the shopper's session signals. Done well, the AOV impact is real. Done as an install-and-forget, the lift is modest.

Pricing scales by orders per month and is unbundled by module. The "Build Your Own Plan" starts at $25/month for one product (Cart & Merchandising, or Search, or Checkout, etc.) and ramps with order volume — tiers at 250, 500, 750, 1,000+ OPM — with each additional module added separately. The full bundle is "Platform One" at $534/month for all modules plus a dedicated CSM. There's a Free "Rebuy Monetize" plan that puts partner-brand offers on the post-purchase page and pays the merchant per transaction, which is a different product entirely. 14-day trial on packages, 30-day on Platform One, and a 60-day positive-ROI guarantee.

What Before You Go does differently

The mechanic is different in both surface and timing. Instead of widgets sitting inside the active-browsing surfaces, the product fires once: when the visitor on a single product page is about to leave, the app renders a full page of recommendations inside the store's own theme — same header, footer, type, URL — populated from a purchase-affinity engine that runs nightly across the store's catalog. Co-views, co-clicks, co-purchases, and content similarity get blended into one score per product pair.

The point of the page is that it isn't a widget — it's a category-page-shaped experience that quietly assembled itself around what similar visitors actually bought. A visitor leaving a fashion store doesn't see a "you may also like" rail on the same PDP they already rejected; they see a full new page of options the store happens to sell that didn't surface during the original browse.

Attribution is session-based click attribution — the visitor has to click a recommended product, the order has to land in the same session, otherwise it doesn't count. Pricing is flat: $0, $29, $99 per month. Native installs on Shopify and Shopware. There are no widgets to configure, no rules to write, no flow builder. Setup is one click; the engine fills the page on its own.

When Rebuy is the right choice

When the storefront's gap is the active browsing experience: a PDP that shows nothing in the way of related products, a cart drawer that's bare, a post-purchase page that's static. Rebuy has the most mature widget system on Shopify for these surfaces and a configuration model that's flexible enough for teams who want to write the rules themselves. If the storefront has a CRO team or an agency willing to tune the placements over time, the AOV lift compounds.

It's also the right pick for stores on Shopify Plus that want recommendations inside the checkout itself. Checkout extensions are a Shopify Plus capability and Rebuy is one of the better-engineered options for using them — the post-purchase upsell flow alone can carry the cost of the platform on stores doing real volume.

And it's the right pick when the storefront's order volume is modest and the priority is starting somewhere — a single-module Build Your Own Plan at $25/month with the cart drawer module is cheap insurance for a PDP that currently shows nothing related.

When Before You Go is the right choice

When the storefront has watched its analytics and concluded that single-PDP exits are the biggest leak — visitors land on one product page from an ad or a search result, decide it isn't quite right, and leave without seeing the rest of the catalog. Rebuy's in-flow widgets don't fire on that path because the visitor never reaches a cart or a checkout; the related-products rail on the PDP they rejected isn't enough to bring them back. The recovery moment is where that traffic gets caught, and a full page is a more honest fix than a widget on the page they already abandoned.

Also the right pick when the team doesn't want to maintain a recommendation rules engine. Before You Go has no flow builder and no widget configuration; the engine runs on its own and the page is built dynamically. That's a feature for stores that don't have a CRO team and a constraint for stores that want fine-grained control. Different shapes for different teams.

And it's the right pick for Shopware merchants. Rebuy is Shopify-only; Before You Go runs natively on both platforms.

Side-by-side

What I'd do

If the storefront has nothing on the PDP, the cart drawer, or the checkout in the way of recommendations, install Rebuy and start with the cart drawer module — the lift on AOV from a properly-configured "frequently bought together" rail is one of the more durable wins in CRO. If the storefront has those surfaces handled and the leak is single-PDP visitors slipping off without ever browsing further, that's the moment Rebuy doesn't cover, and a recovery page is closer to the actual fix. They sit in different parts of the funnel and don't fight each other.