MBA
Compare

MBA vs UpsellWP

A polished WooCommerce-only upsell suite from Flycart that turns checkout bumps, cart cross-sells, frequently-bought-together blocks, and post-purchase funnels into AOV, all driven by merchant-authored rules.

Platforms compared:WooCommerce

When MBA wins

If you need recommendations backed by inspectable co-purchase math (support, confidence, lift) rather than hand-built rules, run more than one storefront on a single contract, or want to feed bundles to AI agents over a real API and MCP, MarketBasketAnalysis is the better fit.

When UpsellWP wins

If you run a single WooCommerce store and want the fastest path to good-looking, highly converting checkout bumps, post-purchase one-click upsells, and frequently-bought-together offers without touching data science or APIs, UpsellWP's polished templates and rule builder will get you live in an afternoon.

Feature comparison

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

FeatureMBAUpsellWP
Recommendation engine
Six explainable mining 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 per rule.
Rule-based 'smart product recommendations' plus frequently-bought-together suggestions; merchants configure conditions and product picks manually, with no published statistical metrics.
Explainability and rule inspection
Every generated rule is inspectable in-admin with its support/confidence/lift, so you can see why a pairing was suggested.
Offers performance analytics on offers, but the recommendation logic itself is an opaque rule/condition engine without exposed lift or confidence scores.
Platform coverage
Same intelligence across five storefronts (Shopify, BigCommerce, WooCommerce, Magento, OroCommerce) on one API contract.
WooCommerce only; no other e-commerce platforms supported.
Checkout bumps, post-purchase upsells, popups, and funnels
Supports post-purchase upsell and A/B testing, but the storefront merchandising surfaces (template polish, popups, thank-you-page funnels) are less turnkey out of the box.
Mature, well-designed library of 12 placements: checkout bumps, cart upsells, post-purchase one-click upsells, popups, thank-you-page offers, double-the-order, and next-order coupons with customizable templates.
A/B testing
Built-in A/B testing of bundles and offers.
Built-in A/B testing in the paid tiers.
Agent-native and API access
Public REST API plus a 19-tool MCP server (18 off Shopify) and ACP/agentic-commerce endpoints, so agents and external apps can query bundles and recommendations.
No published REST API, webhooks, or MCP; integration is via shortcodes and PHP templates inside WordPress.
Real-SKU bundles, substitutions, and B2B depth
Real-SKU bundles, substitutions, and B2B-aware mining on OroCommerce.
Frequently-bought-together bundles and product add-ons, but no substitution logic or B2B-aware mining (OroCommerce) features.
Data privacy and where mining runs
First-party: mining runs locally inside the merchant install (Woo/Magento) and AI is bring-your-own Anthropic/OpenAI key; only Oro is a thin hosted client.
Runs entirely as a self-hosted WooCommerce plugin on the merchant's own server, so order data stays first-party with no external recommendation service.
Pricing model
Flat transparent pricing with a free $0 tier, then Plus $99/mo (or ~$79/mo on annual), no GMV or revenue share.
Flat annual licensing with a free Lite version, Starter $75/yr, Professional $135/yr (5 sites), Agency $295/yr (25 sites), 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

UpsellWP

Freemium with flat annual licensing, no GMV or revenue share. Free Lite plugin on WordPress.org; paid tiers Starter $75/yr (1 site), Professional $135/yr (5 sites), Agency $295/yr (25 sites), with multi-year discounts and a 14-day money-back guarantee.

Visit UpsellWP

The honest verdict

1

UpsellWP is the stronger choice if you are a single-store WooCommerce merchant who wants beautiful, conversion-tested upsell surfaces (checkout bumps, post-purchase one-click, popups) live today; its template polish and rule builder are genuinely ahead of ours on the storefront merchandising side.

2

Its recommendations are merchant-authored rules and frequently-bought-together heuristics, not mined co-purchase statistics; if you want to see support/confidence/lift and trust that a pairing is real rather than a guess, MarketBasketAnalysis is built for that and exposes the rules in-admin.

3

UpsellWP is WooCommerce-only with no public REST API or MCP, so it is a dead end for multi-platform catalogs and AI agents; MBA runs the same engine across five storefronts on one contract and ships REST + a 19-tool MCP server (18 off Shopify) plus agentic-commerce endpoints.

4

Both keep merchant order data first-party (UpsellWP self-hosts in WordPress; MBA mines locally with bring-your-own AI key), and both avoid GMV/revenue-share pricing, so neither penalizes you as you grow.

5

Honest take: for pure WooCommerce upsell UX and speed-to-live, reach for UpsellWP; for explainable recommendation math, B2B/substitution depth, and an agent-native API across platforms, reach for MarketBasketAnalysis.

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.