MBA
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MBA vs Amasty Automatic Related Products

A mature, polished Magento extension that auto-populates related, upsell, and cross-sell blocks from admin-built rules plus bought-together and also-viewed signals, with bundle packs and per-rule analytics.

Platforms compared:Magento / Adobe Commerce

When MBA wins

MarketBasketAnalysis wins when you need explainable co-purchase math (support/confidence/lift) you can inspect, the same recommendation engine across Shopify, BigCommerce, WooCommerce, Magento, and OroCommerce on one API, or agent-native access via REST plus an MCP server and agentic-commerce endpoints.

When Amasty Automatic Related Products wins

If you are a single Magento or Adobe Commerce store that wants a proven, native, one-time-fee extension to fill related/upsell/cross-sell blocks with flexible admin rules, bundle packs, and built-in per-rule CTR and revenue stats, Amasty is the safer, more battle-tested pick.

Feature comparison

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

FeatureMBAAmasty Automatic Related Products
Recommendation logic
Six explainable 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, inspectable in-admin.
Admin-configured rules combined with bought-together and also-viewed sales/view signals; relevance scoring is not exposed as support/confidence/lift.
Platform coverage
One engine and one API contract across Shopify, BigCommerce, WooCommerce, Magento, and OroCommerce.
Magento 1, Magento 2, and Adobe Commerce only.
Agent and API access
Public REST API, a 19-tool MCP server (18 off Shopify), and ACP/agentic-commerce endpoints.
No published REST recommendations API, MCP server, or agentic-commerce endpoints; configuration and output live inside the Magento admin and storefront.
Rule management UI and merchandiser control
Rules inspectable in-admin with engine selection and substitutions, plus offer formats.
Mature grid-based rule manager with priorities, duplication, bulk enable/disable, conditions, and flexible storefront placement refined over many releases.
Bundles and offer formats
Real-SKU bundles with BYOB, volume, BOGO, and virtual formats, substitutions, post-purchase upsell, and a cart drawer.
Bundle packs with fixed, percentage, and conditional discounts displayed alongside recommendations.
Built-in performance analytics
A/B testing with lift and confidence intervals on recommendation impact.
Per-rule statistics for views, clicks, CTR, orders, and revenue, with suggestions, but no native A/B testing.
Privacy and data residency
Mining runs first-party inside the merchant install on Magento and WooCommerce; AI is bring-your-own key (Oro is a thin hosted client).
Runs entirely on-store inside the Magento install with no external data sharing.
B2B capabilities
B2B-aware mining on OroCommerce, plus Klaviyo and email recommendations.
Storefront recommendation rules and bundle packs without dedicated RFQ/quote bundle or reorder-prediction tooling.
Pricing model
Flat transparent pricing with a free $0 tier, Plus $99/mo (or ~$79/mo on annual); no GMV or revenue share.
One-time perpetual license (around $309 for Magento 2 Open Source, higher for Adobe Commerce) with lifetime updates and no recurring fee.

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

Amasty Automatic Related Products

Perpetual license, one-time fee with lifetime updates and 90 days support. Magento 2 Open Source edition around $309 (Magento 1 around $129), with a higher Adobe Commerce edition. No GMV or revenue-share component.

Visit Amasty Automatic Related Products

The honest verdict

1

Amasty is the established, well-supported Magento choice: a perpetual-license extension with a refined rule grid, flexible placements, bundle packs, and genuinely useful per-rule CTR and revenue analytics, all running natively on-store.

2

Its recommendations are rule-plus-signal driven rather than explainable co-purchase mining; you do not get inspectable support, confidence, and lift, a profit-aware engine, or an AI cold-start path for sparse catalogs.

3

It is Magento-only, so a multi-storefront merchant (Shopify, BigCommerce, WooCommerce, Oro) would need separate tools, whereas MarketBasketAnalysis runs the same engine everywhere on one API contract.

4

Amasty has no public REST recommendations API, MCP server, or agentic-commerce endpoints, so it is not built for AI-agent or headless consumption the way MarketBasketAnalysis is.

5

Pick Amasty for a single mature Magento store that values a proven one-time-fee tool with strong merchandiser controls; pick MarketBasketAnalysis when you need explainable math, cross-platform reach, agent-native access, deeper bundle and B2B features, or A/B-tested lift.

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.