MBA vs Algonomy
An enterprise omnichannel personalization cloud whose Recommend engine layers 150+ real-time behavioral ML strategies across web, app, email, and in-store, sold via custom enterprise contracts.
When MBA wins
If you want explainable co-purchase rules you can inspect, the same recommendation contract across Shopify/BigCommerce/WooCommerce/Magento/Oro, agent-native APIs, and flat transparent pricing without a GMV-based enterprise contract, MarketBasketAnalysis wins.
When Algonomy wins
If you are an enterprise retailer that needs true real-time behavioral ML personalization spanning site, app, email, search, and physical-store touchpoints from one vendor with a managed services team, Algonomy's breadth and 150+ tuned strategies are well beyond what a co-purchase mining tool offers.
Feature comparison
Color-striped rows favor MBA, Algonomy, or are even. We mark each so you can scan for the trade-offs that matter to you.
| Feature | MBA | Algonomy |
|---|---|---|
| Recommendation explainability | Every rule emits support/confidence/lift and is inspectable in-admin; you can see exactly why two SKUs are paired. | Black-box real-time ML across 150+ strategies; outcomes are reported but the per-recommendation reasoning is not exposed. |
| Breadth of personalization | Focused on co-purchase mining and bundling; not a site-wide content, banner, or search personalization platform. | Full omnichannel suite: Recommend, Find (search), Discover (browse), Engage (segmentation), plus content/banner personalization across web, app, email, and in-store. |
| Multi-platform coverage on one contract | Same intelligence and one API contract across Shopify, BigCommerce, WooCommerce, Magento, and OroCommerce. | Integrates with Shopify, Adobe Commerce/Magento, Salesforce Commerce Cloud and others, but as separate enterprise integrations rather than a single uniform contract. |
| Pricing transparency | Flat published pricing: free $0 tier, Plus $99/mo (or ~$79/mo on annual), no GMV or revenue share. | No public pricing; custom enterprise quote with volume/GMV/MTU-based fees and implementation cost. |
| Agent-native / API surface | Public REST API plus a 19-tool MCP server (18 off Shopify) and ACP/agentic-commerce endpoints built for AI agents. | Open API architecture (Build) and 2026 GenAI agent features, but no MCP server or standardized agentic-commerce endpoints. |
| Real-time behavioral ML personalization | Co-purchase mining plus AI cold-start; not a real-time per-session behavioral engine reacting to live clickstream. | Core strength: real-time analysis of live browsing, purchase, and contextual signals to personalize per session. |
| Data privacy / hosting | Mining runs first-party inside the merchant install (Magento/Woo); AI is bring-your-own Anthropic/OpenAI key (Oro is a thin hosted client). | Hosted personalization cloud; GDPR-compliant and enterprise-grade, but data flows to the vendor's cloud rather than staying on-store. |
| Bundles, substitutions, and merchandising controls | Real-SKU bundles in BYOB/volume/BOGO/virtual formats, substitutions, post-purchase upsell, and cart drawer. | Strong merchandising controls (custom rules, do-not-recommend lists, price bands, diversity caps) and upsell/bundle placements, but less specialized bundle-format tooling. |
| A/B testing with statistical rigor | Built-in A/B testing reporting lift with confidence intervals. | Mature experimentation and A/B testing with real-time conversion/CTR KPI reporting. |
| B2B / wholesale 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. | Primarily B2C retail personalization; B2B quote/reorder workflows are not a focus. |
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 plansAlgonomy
Custom enterprise quote only; no public price. Volume/GMV/MTU-based subscription (Shopify app is "free to install, charges based on volumes") plus implementation and increasingly task-based GenAI-agent fees. Built for an enterprise sales cycle, not self-serve.
Visit AlgonomyThe honest verdict
Different weight classes. Algonomy is an enterprise omnichannel personalization cloud (search, browse, content, segmentation, real-time behavioral ML across web/app/email/store); MarketBasketAnalysis is a focused, explainable co-purchase and bundling engine. If you need site-wide real-time personalization with a managed-services team, Algonomy does far more.
Explainability and pricing are our clearest wins: we emit support/confidence/lift you can inspect in-admin, and we publish flat pricing (free $0 tier, $99 Plus) with no GMV or revenue share. Algonomy is a black-box ML suite priced by custom volume/GMV/MTU quote with implementation cost and an enterprise sales cycle.
We are genuinely more agent-native and portable: one API contract plus a 19-tool MCP server (18 off Shopify) and ACP endpoints, and the same intelligence across five storefronts. Algonomy has an open API and is adding GenAI agents, but no MCP or standardized agentic-commerce surface and integrations are per-platform enterprise work.
Be honest about the gap: Algonomy's real-time per-session behavioral ML and 150+ tuned strategies are not something co-purchase mining replicates. If you came specifically for live clickstream personalization or in-store/email reach, they win.
Bottom line: choose Algonomy if you are an enterprise buyer who wants one vendor for omnichannel personalization and has budget for a custom contract. Choose MarketBasketAnalysis if you want transparent, portable, agent-ready co-purchase recommendations and real-SKU bundles (including B2B-aware mining on OroCommerce) at a flat, predictable price.
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.