MBA
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MBA vs Amasty Bundle Products

A polished Magento product-page bundle builder for merchant-configured mix-and-match sets and tiered bundle discounts, with no recommendation engine and Magento-only scope.

Platforms compared:Magento / Adobe Commerce

When MBA wins

If you want bundles driven by explainable co-purchase mining (support/confidence/lift) instead of hand-built sets, the same intelligence and API across Shopify, BigCommerce, WooCommerce, Magento, and OroCommerce, or agent-facing REST/MCP access.

When Amasty Bundle Products wins

If you run only Magento and want a mature, native-feeling bundle builder with rich display controls (checkbox/radio/dropdown), flexible quantities, partial-bundle purchase, and differentiated discounts, all configured by hand by your merchandisers.

Feature comparison

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

FeatureMBAAmasty Bundle Products
Data-driven recommendations
Six co-purchase mining engines (sql_pairs, fp_growth default, seasonal_cohort, return_aware, profit-aware HUI, ai_catalog cold-start), plus a co_occurrence fallback emit support/confidence/lift, with rules inspectable in-admin.
None; bundles are manually composed by the merchant, with no mining or automatic affinity suggestions.
Magento bundle building and display UX
Real-SKU bundles with BYOB/volume/BOGO/virtual formats plus substitutions, but storefront display is more standardized across platforms.
Mature Magento-native builder with checkbox/radio/dropdown display, flexible per-item quantities, partial-bundle purchase, and differentiated/conditional discounts.
Platform coverage
One API contract across five storefronts: Shopify, BigCommerce, WooCommerce, Magento, and OroCommerce.
Magento Open Source and Adobe Commerce only; no other platforms.
Explainability / transparency of offers
Each rule exposes support, confidence, and lift and is inspectable in the admin so merchants can see why items are paired.
Fully transparent by design because every bundle is human-defined, though there is nothing to explain since nothing is inferred.
Agent / API access
Public REST API, a 19-tool MCP server (18 off Shopify), and ACP/agentic-commerce endpoints for programmatic and agent-driven use.
Standard Magento extension with admin configuration and Magento APIs; no dedicated MCP or agentic-commerce surface.
Privacy / data residency
Mining runs first-party inside the merchant's Magento install and AI is bring-your-own-key, keeping purchase data on-store.
Runs entirely inside the merchant's Magento install with no external data processing, since it does no analytics or AI.
Optimization and experimentation
Built-in A/B testing with lift and confidence intervals, post-purchase upsell, cart drawer, and Klaviyo/email recommendations.
Offers tiered/differentiated bundle discounts to drive larger baskets, but no native A/B testing or recommendation placements.
B2B depth
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.
General bundle pricing usable in B2B contexts, but no RFQ, quote-bundle, or reorder-prediction features.
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 per-edition license (around $149+) with 90 days support and lifetime updates and no revenue share, but each Magento edition is bought separately and renewals cost extra.

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 Bundle Products

One-time per-edition license (separate Magento Open Source and Adobe Commerce prices, roughly $149 and up) including 90 days of support and lifetime updates; no GMV or revenue share, but renewals/extra support are paid and each Magento edition is purchased separately.

Visit Amasty Bundle Products

The honest verdict

1

Amasty Bundle Products is a strong, mature choice if you are Magento-only and want hand-built bundles with rich storefront display and tiered discounts; its display and quantity controls are genuinely more refined than a generic cross-platform tool.

2

It is a merchandising and display extension, not a recommendation engine: it does not mine co-purchase data or suggest what to bundle, so the affinity work stays with your team.

3

MarketBasketAnalysis wins when you want bundles driven by explainable mining (support/confidence/lift) and the same logic across Shopify, BigCommerce, WooCommerce, Magento, and OroCommerce rather than a single platform.

4

MarketBasketAnalysis also adds agent-native access (REST, a 19-tool MCP server (18 off Shopify), ACP endpoints), built-in A/B testing with lift/CI, post-purchase and cart-drawer placements, and B2B-aware mining on OroCommerce.

5

Both keep data first-party inside the Magento install and avoid GMV/revenue-share pricing, so on privacy and pricing model they are broadly even; the real decision is manual bundle craft on one platform versus automated, explainable, multi-platform recommendations.

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.