MBA vs WPC Smart Recommendations
A WooCommerce-only recommendation engine that blends co-purchase, co-view, and category-affinity signals into auto-learning "bought together" and "for you" widgets, sold as a one-time-fee plugin.
When MBA wins
If you need explainable association rules with inspectable support/confidence/lift, the same engine across Shopify/BigCommerce/Magento/Oro as well as Woo, agent-native API/MCP access, real-SKU bundles, or B2B-aware mining and reorder-prediction data, MarketBasketAnalysis is the better fit.
When WPC Smart Recommendations wins
If you run a single WooCommerce store, want zero-config recommendation widgets that auto-learn from co-purchase and browsing behavior across many surfaces, and prefer a low flat one-time fee, WPC is the simpler and cheaper buy.
Feature comparison
Color-striped rows favor MBA, WPC Smart Recommendations, or are even. We mark each so you can scan for the trade-offs that matter to you.
| Feature | MBA | WPC Smart Recommendations |
|---|---|---|
| Recommendation algorithm transparency | Explainable co-purchase mining across 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; every rule is inspectable in-admin. | Multi-algorithm behavioral engine (co-purchase, co-view, category affinity, interest scoring) that auto-learns from store data, but the scoring is a black box with no exposed support/confidence/lift metrics. |
| Platforms supported | One API contract across 5 storefronts: Shopify, BigCommerce, WooCommerce, Magento, and OroCommerce. | WooCommerce only. |
| Zero-config setup and behavioral auto-learning | Engines run on your catalog and order history; setup is heavier and oriented around configuring mining and rules rather than instant install-and-go widgets. | Activate the plugin and it immediately starts learning from co-purchase and co-view data with no configuration required. |
| Display surfaces and merchandising widgets | Cart drawer, post-purchase upsell, substitutions, related/recommended placements, plus Klaviyo/email recs. | Broad surface coverage out of the box: product pages, cart, checkout, thank-you page, popups, emails, widgets, and 6 shortcodes with grid/carousel/list layouts. |
| Performance analytics | A/B testing with lift and confidence intervals to measure rule and bundle impact. | Dashboard tracking impressions, clicks, add-to-carts, purchases, and attributed revenue for recommendations. |
| Bundles and offer formats | Real-SKU bundles with BYOB, volume, BOGO, and virtual formats, plus substitutions and volume/quantity logic. | Surfaces recommendation widgets and manual per-product recs; true configurable bundle products are sold as a separate WPClever plugin (Product Bundles / Frequently Bought Together), not part of this engine. |
| Agent-native and developer access | Public REST API plus a 19-tool MCP server (18 off Shopify) and ACP/agentic-commerce endpoints designed for AI agents. | Has a REST API under wpcrc/v1 for headless stores and PHP developer methods, but no MCP server or agentic-commerce endpoints. |
| 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. | Consumer-storefront focused; no dedicated B2B quoting or reorder-prediction features. |
| Pricing model | Flat transparent pricing: free $0 tier, Plus $99/mo (or ~$79/mo on annual), no GMV or revenue share. | One-time fee with lifetime updates and 1-year support: $29 single site, $59 up to 5 sites, $99 unlimited; no free tier but a lower one-time entry cost. |
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 plansWPC Smart Recommendations
One-time purchase (lifetime updates, 1-year support): $29 single site / $59 up to 5 sites / $99 unlimited. No free tier, no GMV or revenue share.
Visit WPC Smart RecommendationsThe honest verdict
WPC Smart Recommendations is a genuinely capable, low-cost WooCommerce recommendation plugin: its multi-algorithm behavioral engine auto-learns from co-purchase and co-view data, covers a wide range of display surfaces, and reports impression-to-revenue analytics with no setup.
Its one-time pricing ($29 to $99) is hard to beat for a single Woo store, and MarketBasketAnalysis only clearly undercuts it at the free Woo tier; both are honest, no-GMV models.
MarketBasketAnalysis wins on explainability (inspectable support/confidence/lift rules and 4 distinct engines including profit-aware and cold-start) versus WPC's black-box scoring.
MarketBasketAnalysis is the only option if you need cross-platform parity (Shopify/BigCommerce/Magento/Oro plus Woo), agent-native API/MCP/ACP access, real-SKU bundle formats, or B2B-aware mining on OroCommerce.
Pick WPC if you want the cheapest, simplest, install-and-forget recommendation widgets for one WooCommerce store; pick MarketBasketAnalysis if you need transparent rules, multi-storefront reach, bundling, or B2B and agentic commerce.
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.