MBA vs Findify
A hosted, ML-driven AI search, personalization, and visual merchandising suite that wraps your storefront in autocomplete, smart collections, and recommendation widgets.
When MBA wins
Pick MarketBasketAnalysis if you need explainable, inspectable co-purchase rules (support/confidence/lift), real-SKU bundles and B2B reorder/quote tooling, first-party privacy with mining inside your own install, and an agent-native REST/MCP/ACP API across five storefronts on one contract.
When Findify wins
Pick Findify if your primary pain is on-site product discovery and you want a polished, turnkey AI search bar with typo tolerance, semantic ranking, and drag-and-drop visual merchandising that a non-technical merchandiser can run without engineering.
Feature comparison
Color-striped rows favor MBA, Findify, or are even. We mark each so you can scan for the trade-offs that matter to you.
| Feature | MBA | Findify |
|---|---|---|
| On-site AI search (autocomplete, typo tolerance, semantic ranking) | Not a search engine; focuses on co-purchase intelligence, bundles, and recommendations rather than the storefront search bar. | Core strength: NLP autocomplete, spell correction, semantic search, personalized result ranking. |
| Explainable recommendation logic | Six transparent 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; every rule is inspectable in-admin. | Behavioral ML black box; recommendations are tuned via rules and boosts but the underlying scoring is not exposed as auditable co-purchase metrics. |
| Frequently-bought-together / co-purchase recommendations | Primary use case, mined from real transaction history with profit-aware (HUI) ranking and cold-start AI fallback. | Offers frequently-bought-together and 'customers also viewed' widgets driven by browsing and purchase history. |
| Real-SKU bundles and bundle formats (BYOB / volume / BOGO / virtual) | First-class: real-SKU bundles plus BYOB, volume, BOGO, virtual bundles, substitutions, post-purchase upsell, and a cart drawer. | Surfaces recommendation widgets and smart collections, not a configurable bundle/cart-offer builder. |
| Visual merchandising and rule-based curation | Rules are inspectable and overridable in-admin, but there is no drag-and-drop visual grid or pinning UI for merchandisers. | Strong: drag-and-drop visual editor, product pinning, boost/bury, custom ranking rules built for merchandisers. |
| Multi-platform parity on one API contract | Same intelligence across Shopify, BigCommerce, WooCommerce, Magento, and OroCommerce on one shared API contract. | Integrates with Shopify, BigCommerce, Adobe Commerce/Magento, WooCommerce and more, but as separate hosted integrations rather than a single self-hostable contract. |
| Agent-native interface (REST API + MCP + agentic commerce) | Public REST API, a 19-tool MCP server (18 off Shopify), and ACP/agentic-commerce endpoints built in. | Connects via plug-and-play integrations and APIs for syncing data, but no published MCP server or agentic-commerce endpoints. |
| Data privacy and hosting model | First-party: mining runs locally inside the merchant install (Magento/Woo); AI is bring-your-own Anthropic/OpenAI key (Oro is a thin hosted client). | Hosted SaaS; catalog, behavioral, and transaction data are processed on Findify/Maropost infrastructure. |
| B2B readiness and A/B testing | B2B-aware mining on OroCommerce, plus A/B testing with lift and confidence intervals. | Has a B2B/wholesale offering and conversion tracking, but is centered on B2C discovery rather than RFQ/reorder workflows. |
| Pricing transparency and entry cost | Flat and transparent: free $0 tier, Plus $99/mo (or ~$79/mo on annual); no GMV or revenue-share. | Transparent published tiers ($499/$799/$1,399 per month) but a high floor with no free entry point and traffic/catalog gating. |
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 plansFindify
Hosted SaaS, flat monthly tiers gated by traffic/catalog size: Premium $499/mo (100k visits, 20k products), Professional $799/mo (50k products, multi-store/language), Enterprise $1,399/mo (personalized recs, unlimited products). 14-day trial; no free tier.
Visit FindifyThe honest verdict
Different center of gravity: Findify is a search-and-merchandising platform; MarketBasketAnalysis is a co-purchase/bundle intelligence engine. If your conversion gap is 'people cannot find products,' Findify is the better buy; if it is 'people buy one thing and leave,' MBA is.
Findify gives merchandisers a genuinely nice visual, drag-and-drop control surface; MBA's edge is engineering-facing: inspectable support/confidence/lift rules, a REST + 19-tool MCP (18 tools off Shopify) + ACP surface, and self-hosted mining so transaction data never leaves the store.
Cost structure is night and day. Findify starts at $499/mo and personalized recommendations live on the $1,399 Enterprise tier; MBA has a free $0 tier and a $99 Plus tier with no GMV or revenue-share, so the experiment is nearly free.
Both do frequently-bought-together, but Findify's is a behavioral black box while MBA's is auditable and profit-aware (HUI), plus MBA actually builds the bundles/BYOB/BOGO/virtual offers and B2B reorder/quote flows Findify does not.
Realistically they can coexist: run Findify for storefront search/personalization and MBA for explainable bundles, B2B, and agent-facing APIs. If you must pick one and you are technical or multi-platform, MBA's transparency and price win; if you are a single-store B2C merchandiser, Findify wins.
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.