MBA vs Upsellar AI Product Recommendations
A free AI-powered recommendation plugin that auto-learns from shopper behavior to surface upsells on WooCommerce product, cart, and checkout pages.
When MBA wins
If you need explainable co-purchase rules you can inspect, profit-aware bundles, multi-storefront parity, B2B workflows, or agent/API access, MarketBasketAnalysis goes well beyond a single-store recommendation widget.
When Upsellar AI Product Recommendations wins
If you run a single WooCommerce store and want a zero-cost, install-and-go AI recommendation widget that learns automatically with no setup or rule tuning, Upsellar is the simpler choice.
Feature comparison
Color-striped rows favor MBA, Upsellar AI Product Recommendations, or are even. We mark each so you can scan for the trade-offs that matter to you.
| Feature | MBA | Upsellar AI Product Recommendations |
|---|---|---|
| Price to get started on WooCommerce | Free $0 tier; Plus $99/mo flat (or ~$79/mo on annual) with transparent pricing and no GMV or revenue-share | Free to get started on WooCommerce |
| Ease of setup / hands-off operation | Works out of the box but exposes 4 mining engines (sql_pairs, fp_growth default, seasonal_cohort, return_aware, profit-aware HUI, ai_catalog cold-start), plus a co_occurrence fallback you can configure | Seamless install with minimal/no technical effort; AI learns automatically from interactions |
| Explainable recommendations | Co-purchase rules emit support, confidence, and lift and are fully inspectable in-admin | AI suggestions described as learning over time; no published support/confidence/lift metrics or rule inspection |
| On-product placements (product page, cart, checkout) | Cart drawer, post-purchase upsell, on-store recommendation surfaces | Surfaces upsells on product pages, cart, and checkout |
| Multi-platform support | Same intelligence on one API contract across Shopify, BigCommerce, WooCommerce, Magento, and OroCommerce | WooCommerce only |
| Bundles and offer formats | Real-SKU bundles plus BYOB, volume, BOGO, virtual bundles, substitutions, and post-purchase upsell | Complementary-product and upgrade suggestions; no published structured bundle builder |
| A/B testing | Built-in A/B testing with lift and confidence intervals | No published A/B testing or statistical reporting |
| Agent / API access | Public REST API, 19-tool MCP server (18 off Shopify), and ACP/agentic-commerce endpoints | No published public API or agent integration |
| 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. | Focused on B2C upsell; no published B2B tooling |
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 plansUpsellar AI Product Recommendations
Free to get started; WooCommerce-only, no published paid tier or GMV/revenue-share at time of writing.
Visit Upsellar AI Product RecommendationsThe honest verdict
Upsellar is a genuinely free, low-friction WooCommerce recommendation widget: install it, let the AI learn from shopper behavior, and get upsells on product, cart, and checkout pages with little to no configuration.
Its scope is narrow. It is WooCommerce-only, with no published support/confidence/lift metrics, rule inspection, structured bundle builder, A/B testing, API/agent access, or B2B features.
MarketBasketAnalysis also offers a free WooCommerce tier, so the pricing entry point is comparable, but it adds explainable co-purchase mining you can audit in-admin and configure across six engines.
If you only run one WooCommerce store and want set-and-forget recommendations, Upsellar may be all you need; if you want transparent rules, profit-aware bundles, multi-storefront parity, or agent/B2B capabilities, MarketBasketAnalysis is the stronger fit.
Note: Upsellar's public materials are light on technical detail (data handling, where the AI runs, paid tiers), so evaluate against your privacy and roadmap needs before committing.
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.