MBA vs Yotpo
A retention suite built around reviews and loyalty, with AI-assisted recommendations layered on top of its social-proof data.
When MBA wins
If you want an explainable co-purchase recommendation engine that mines real transactions into inspectable rules, builds real-SKU bundles across five storefronts, and exposes everything to AI agents on one API, MarketBasketAnalysis is purpose-built for that and Yotpo is not.
When Yotpo wins
If your priority is a polished reviews/UGC program and a points-and-referrals loyalty engine with strong Shopify integration and review syndication to Google and social, Yotpo is the more complete retention suite.
Feature comparison
Color-striped rows favor MBA, Yotpo, or are even. We mark each so you can scan for the trade-offs that matter to you.
| Feature | MBA | Yotpo |
|---|---|---|
| Recommendation method | Explainable co-purchase mining with six engines (sql_pairs, fp_growth default, seasonal_cohort, return_aware, profit-aware HUI, ai_catalog cold-start), plus a co_occurrence fallback emitting support, confidence, and lift you can inspect in-admin | AI-assisted recommendations built on its reviews/loyalty data and the new Discover AI-visibility product; deeper onsite product recs often rely on partner apps (LimeSpot, Nosto, Rebuy) |
| Reviews, UGC and loyalty programs | Not offered; MBA focuses on co-purchase intelligence, bundles, and recommendations rather than reviews or loyalty points | Core strength: mature Reviews and UGC plus Loyalty and Referrals with high app-store ratings and syndication to Google and social |
| Real-SKU bundles and offer formats | Native BYOB, volume, BOGO, and virtual bundles, plus substitutions, post-purchase upsell, cart drawer, and A/B testing with lift and confidence intervals | No native bundle builder; upsell and cross-sell typically come from partner personalization apps, with Yotpo Reviews shown alongside those offers |
| Platform coverage | Same intelligence across Shopify, BigCommerce, WooCommerce, Magento, and OroCommerce on one API contract | Integrates with Shopify (deepest), BigCommerce, WooCommerce, Adobe Commerce (Magento), Salesforce Commerce Cloud, and Volusion |
| Agent-native and API access | Public REST API plus a 19-tool MCP server (18 off Shopify) and ACP/agentic-commerce endpoints so agents can query rules and build offers | Has APIs and an emerging agentic-commerce/AI-visibility focus via Discover, but no published MCP server for programmatic access to recommendation rules |
| Data privacy and where mining runs | First-party: mining runs locally inside the merchant install on Magento and Woo, with bring-your-own-key AI (Oro is a thin hosted client) | Hosted SaaS where store and shopper data flows to Yotpo's cloud to power its cross-brand data network |
| B2B capabilities | B2B-aware mining on OroCommerce (per-organization context, cross-store insights), reorder-prediction data through the REST API, and a recommendation API for building custom B2B flows. | Primarily DTC-oriented; loyalty and reviews can apply to B2B but no dedicated RFQ, quote-bundle, or reorder-prediction tooling |
| Pricing model | Flat transparent pricing: free $0 tier, Plus $99/mo (or ~$79/mo on annual), with no GMV or revenue share | Modular per-product, per-order pricing with overages; a combined Reviews + Loyalty stack starts around $278/mo and scales into thousands per year |
| Breadth of retention marketing channels | Klaviyo and email recommendations for activating co-purchase insights, but not a full messaging suite | Was a broad retention suite, but sunset SMS and Email (Dec 2025) and Subscriptions (May 2025), narrowing to Reviews, Loyalty, and Discover |
Pricing snapshot
MarketBasketAnalysis
Flat, transparent plan pricing: Free ($0) and Plus $99/mo flat (or ~$79/mo on annual). One paid plan, everything in it. These are product plans, not per-platform prices, and the same plans apply across every platform. Metered on capability and compute, never on GMV. No revenue share, no add-ons.
See plansYotpo
Modular SaaS priced per product and per order volume: Loyalty from free to $199/mo (Pro) to $799/mo (Premium) to custom enterprise; Reviews from roughly $15-79+/mo; per-order overages around $0.20; a combined Reviews + Loyalty stack starts near $278/mo and scales into the thousands per year. No single flat all-in price, and recommendation depth often depends on partner apps.
Visit YotpoThe honest verdict
Different jobs: Yotpo is a reviews-and-loyalty retention suite, while MarketBasketAnalysis is a co-purchase recommendation and bundling engine. If you need social proof and points programs, pick Yotpo; if you need explainable cross-sell intelligence and real-SKU bundles, pick MBA.
MBA's advantage is transparency and control: it mines actual transactions into inspectable support/confidence/lift rules that run first-party inside your store, whereas Yotpo's recommendation strength leans on its hosted reviews/loyalty data and, for onsite recs, often partner apps.
Yotpo has recently narrowed: SMS, Email, and Subscriptions were sunset in 2025, so it is no longer the all-in-one channel suite it once was, now centered on Reviews, Loyalty, and the early-access Discover AI-visibility product.
Pricing differs in shape and predictability: Yotpo charges per product and per order with overages that compound as you grow, while MBA is flat with a free Woo tier and no GMV or revenue share.
For agentic and B2B commerce, MBA is more built-out, with an MCP server, ACP endpoints, and reorder-prediction data that Yotpo does not natively match.
Want the full buyer's deep-dive?
This page is the per-vendor short version. For the long version, read “MBA vs Bloomreach” (8 pages on the enterprise-vs-mid-market trade-off) or “MBA vs the widget cluster” (4 pages of pricing math vs Glood, Rebuy, and PickyStory).
Try MBA on your own store
14-day money-back guarantee on all paid platforms. WP.org free tier on WooCommerce. No credit card required for the free path.