MBA vs Frosmo
An AI-driven, cloud-hosted personalization, recommendation, and experimentation platform that auto-optimizes on-site experiences across any ecommerce or CMS stack via a JavaScript tag.
When MBA wins
When you need explainable co-purchase rules (support/confidence/lift) you can inspect in-admin, mining that runs first-party inside your own store, and an agent-native API/MCP plus real-SKU bundles and B2B workflows at flat transparent pricing.
When Frosmo wins
When you want a full no-code site personalization suite (dynamic segmentation, rule-based targeting, A/B and multi-armed-bandit testing, content and merchandising) that auto-selects the best recommendation strategy per visitor segment and drops in via one JavaScript tag on any stack.
Feature comparison
Color-striped rows favor MBA, Frosmo, or are even. We mark each so you can scan for the trade-offs that matter to you.
| Feature | MBA | Frosmo |
|---|---|---|
| Recommendation explainability | Every recommendation traces to a mined rule with support, confidence, and lift, inspectable directly in the admin. | AI-driven engine auto-optimizes recommendation strategy per segment; the underlying scoring is not exposed as inspectable support/confidence/lift. |
| Recommendation engines / breadth | Six explainable co-purchase engines: sql_pairs, FP-Growth (default), seasonal_cohort, return_aware, profit-aware HUI, and ai_catalog cold-start, plus a co_occurrence fallback. | Continuous AI optimization that dynamically searches for the best algorithm or strategy per visitor segment across the journey. |
| Site-wide personalization and segmentation | Focused on co-purchase intelligence, bundles, upsell, and substitutions rather than full-site content personalization. | Dynamic visitor segmentation plus rule-based content targeting and merchandising across the whole site. |
| Experimentation / A/B testing | Built-in A/B testing reporting lift with confidence intervals on recommendation and bundle placements. | Mature A/B and multi-armed-bandit (MAB) testing across many digital touchpoints. |
| Deployment and data privacy | Mining runs first-party inside the merchant install (Magento/Woo); AI is bring-your-own-key (Oro is a thin hosted client). | Cloud SaaS deployed via a JavaScript tag; behavioral data is collected and processed in Frosmo's cloud. |
| Agent-native interfaces (API / MCP) | Public REST API, a 19-tool MCP server (18 off Shopify), and ACP/agentic-commerce endpoints. | Control-panel and data-layer driven; no published MCP server or agentic-commerce endpoints. |
| Platform coverage | Same intelligence across Shopify, BigCommerce, WooCommerce, Magento, and OroCommerce on one API contract. | Integrates with WordPress, Shopify, BigCommerce, Magento, WooCommerce, Kibo, and headless stacks via tag/data layer. |
| Bundles, formats, and B2B | Real-SKU bundles (BYOB/volume/BOGO/virtual), substitutions, post-purchase upsell, cart drawer, and Klaviyo/email recs. | Recommends complementary products across the journey; no published native bundle formats or B2B RFQ/reorder workflows. |
| Pricing transparency | Flat published pricing: free $0 tier, Plus $99/mo (or ~$79/mo on annual), no GMV or revenue share. | Custom enterprise quote only; no public pricing and no free tier. |
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 plansFrosmo
Custom enterprise SaaS pricing (quote/demo only); no public price list and no free tier.
Visit FrosmoThe honest verdict
Frosmo is a broader on-site personalization suite: dynamic segmentation, rule-based targeting, merchandising, and A/B plus multi-armed-bandit testing across the whole journey, with AI that auto-picks the best strategy per segment.
MarketBasketAnalysis is narrower but deeper on co-purchase intelligence: explainable rules with support/confidence/lift you can inspect in-admin, six mining engines, and real-SKU bundle formats plus B2B workflows Frosmo does not advertise.
Privacy and architecture differ fundamentally: MBA mines first-party inside your own store with bring-your-own AI key, while Frosmo is cloud SaaS that collects and processes behavioral data via a JavaScript tag.
MBA is the agent-native choice with a public REST API, 19-tool MCP server (18 off Shopify), and ACP endpoints; Frosmo is driven through its control panel and data layer with no published MCP or agentic-commerce surface.
Pricing is the clearest split: MBA is flat and transparent (free $0 tier, $99 Plus, no revenue share), whereas Frosmo is enterprise quote-only with no public price or free tier.
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.