MBA
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MBA vs Leo Product Recommendations for WooCommerce

A lightweight WooCommerce plugin that shows curated product suggestions in an eye-catching add-to-cart popup or grid/slider.

Platforms compared:WooCommerce

When MBA wins

If you want recommendations actually derived from your real co-purchase data with inspectable support/confidence/lift, real-SKU bundles, A/B testing, and the same engine across multiple storefronts and AI agents, MarketBasketAnalysis is the substantially deeper system.

When Leo Product Recommendations for WooCommerce wins

If you run a single WooCommerce store and just want a clean, low-cost post-add-to-cart upsell popup with manually curated or category/tag/on-sale picks and no data pipeline to think about, Leo is simpler and cheaper to stand up.

Feature comparison

Color-striped rows favor MBA, Leo Product Recommendations for WooCommerce, or are even. We mark each so you can scan for the trade-offs that matter to you.

FeatureMBALeo Product Recommendations for WooCommerce
Recommendation intelligence
Explainable co-purchase mining with six engines (SQL pairs, FP-Growth default, profit-aware HUI, AI catalog cold-start) emitting support/confidence/lift, with rules inspectable in-admin.
Manual product selection plus dynamic picks by category, tag, on-sale, random, or product range; no order-history co-purchase mining.
Post-add-to-cart popup / cart upsell UX
Post-purchase upsell, cart drawer, and recommendation surfaces built in.
Core strength: polished AJAX add-to-cart popup, plus grid and slider layouts with page-builder compatibility (Elementor, Divi, WPBakery, Gutenberg).
Bundles and offer formats
Real-SKU bundles with BYOB, volume, BOGO, and virtual formats, plus substitutions.
Recommendation lists/popups only; no native bundle, BOGO, or volume-deal builder.
A/B testing and analytics
Built-in A/B testing reporting lift with confidence intervals.
No A/B testing or recommendation analytics documented.
Multi-platform reach
One API contract across Shopify, BigCommerce, WooCommerce, Magento, and OroCommerce.
WooCommerce only.
Agent-native / API access
Public REST API, a 19-tool MCP server (18 off Shopify), and ACP/agentic-commerce endpoints.
WordPress filter/action hooks and template overrides for developers; no public recommendation REST API or MCP/agent endpoints.
B2B features
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.
No B2B-specific features.
Privacy / data locality
Mining runs locally inside the merchant install on Woo/Magento; AI is bring-your-own key.
Runs entirely inside the self-hosted WooCommerce/WordPress install; no external data send.
Pricing model and cost to start
Flat transparent pricing with a free $0 tier, Plus $99/mo (or ~$79/mo on annual), and no GMV or revenue-share.
Free tier plus a low-cost annual Pro license (roughly $35 to $79/yr), no GMV or revenue-share.

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 plans

Leo Product Recommendations for WooCommerce

Freemium WordPress plugin: free tier on WordPress.org plus a paid Pro license (annual, roughly $35 to $79/yr depending on listing) that unlocks slider layouts, dynamic selection, and styling controls. No GMV or revenue-share.

Visit Leo Product Recommendations for WooCommerce

The honest verdict

1

Leo Product Recommendations is a focused, affordable WooCommerce popup/upsell plugin (~400+ active installs, 5/5 from a small review count) that does its one job well: showing curated or rule-based suggestions at the add-to-cart moment.

2

Its recommendations are driven by manual picks or simple dynamic rules (category, tag, on-sale, random), not by mining your actual order history, so it has no support/confidence/lift, no A/B testing, and no analytics.

3

MarketBasketAnalysis is a different tier of product: explainable co-purchase mining across six engines, real-SKU bundles and offer formats, A/B testing with confidence intervals, and B2B-aware mining workflows.

4

MBA also spans five storefronts on one API contract and is agent-native (REST API, 19-tool MCP server (18 off Shopify), ACP endpoints), whereas Leo is WooCommerce-only with developer hooks but no recommendation API.

5

Pick Leo if you want a cheap, simple cart-upsell popup on one Woo store; pick MarketBasketAnalysis if you want data-driven, explainable recommendations, bundles, testing, and multi-platform or agent integration.

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.