MBA vs Clerk.io
A broad, multi-platform AI personalization suite (search, recommendations, email, audience) where everything runs through one vendor-hosted predictive algorithm, versus our explainable, on-store, agent-native co-purchase engine.
When MBA wins
Choose MarketBasketAnalysis if you need co-purchase rules you can actually inspect (support, confidence, lift) and rank by margin, mining that runs first-party inside your own store with a bring-your-own AI key, an agent-native REST plus MCP plus ACP surface, and flat pricing that does not meter you per search or per email.
When Clerk.io wins
Choose Clerk.io if you want one mature, proven vendor to run AI site search, recommendations, behavioral email, and audience marketing as an integrated suite across many storefronts, and you are comfortable with a hosted black-box engine and usage-based pricing in exchange for breadth you would otherwise buy from several tools.
Feature comparison
Color-striped rows favor MBA, Clerk.io, or are even. We mark each so you can scan for the trade-offs that matter to you.
| Feature | MBA | Clerk.io |
|---|---|---|
| Product breadth (search, recommendations, email, audience, chat) | Focused on co-purchase intelligence: bundles, substitutions, post-purchase upsell, A/B testing, and recommendations. No native AI site search, behavioral email, or audience/ad marketing. | Full personalization suite: AI search, recommendations, trigger and AI-driven email, audience marketing, and an AI chat agent, all in one platform. |
| Recommendation explainability (support, confidence, lift) | Every rule emits support, confidence, and lift and is inspectable in-admin across six engines: sql_pairs, FP-Growth (default), seasonal_cohort, return_aware, profit-aware HUI, and ai_catalog cold-start, plus a co_occurrence fallback. | Recommendations come from the proprietary, vendor-hosted ClerkCore predictive algorithm; the underlying support/confidence/lift math is not surfaced to merchants. |
| Profit and margin-aware ranking | Profit-aware HUI engine ranks rules by margin contribution, not just co-purchase frequency. | Optimizes for conversion and revenue via its predictive models; no merchant-facing margin-weighted ranking exposed. |
| Supported storefronts | Five storefronts on one API contract: Shopify, BigCommerce, WooCommerce, Magento, and OroCommerce. | 20+ platform integrations including Shopify, WooCommerce, Magento 2, BigCommerce, and PrestaShop, a broader catalog of connectors. |
| Single consistent API contract across platforms | Identical intelligence and one API contract regardless of which of the five storefronts you run. | Has a REST-like API (GET/POST/PATCH/DELETE) usable for custom logic, B2B, and app integrations, delivering the same ClerkCore predictions across platforms. |
| Agent-native surface (MCP, agentic commerce) | Public REST API plus a 19-tool MCP server (18 off Shopify) plus ACP/agentic-commerce endpoints so AI shopping agents can call the intelligence directly. | Provides a REST API for integrations but no published MCP server or ACP/agentic-commerce endpoints found. |
| Data location and privacy model | First-party: mining runs locally inside the merchant install on Magento and WooCommerce, and AI is bring-your-own Anthropic/OpenAI key. (Oro is a thin hosted client.) | Vendor-hosted SaaS: order history and catalog are sent to Clerk's cloud and run through ClerkCore. |
| Email and audience marketing | None natively; we are an intelligence and merchandising layer, not an email or audience tool. | Mature trigger emails (abandoned cart, search, session) plus AI-driven campaigns and audience marketing, with strong published CTR claims. |
| B2B readiness | B2B-aware mining with a B2B-native OroCommerce build and cross-store insights. | Offers a custom-quoted B2B package and an API usable for B2B setups, but no published RFQ/quote-bundle or reorder-prediction engine. |
| Pricing transparency and model | Flat and transparent: free $0 tier, Plus $99/mo (or ~$79/mo on annual), no GMV or revenue share, not metered per search or email. | Modular usage-tiered pricing, each product roughly $99 to $119+/mo metered on usage; no public flat tier or permanent free plan, but no one-off setup fee and volume discounts at scale. |
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 plansClerk.io
Modular, usage-tiered SaaS. You pick any combination of Clerk's five products (Search, Recommendations, Email, Audience, Chat), each starting around $99 to $119 per month and metered on usage (searches, recommendations, emails opened, subscribers), with the per-unit rate getting cheaper as volume rises. Contracts are monthly, quarterly, half-yearly, or yearly, no one-off implementation fee, free trial available, and a custom-quoted B2B package. There is no published flat tier and no free permanent plan. By contrast MBA is flat and transparent: a free $0 tier, Plus $99/mo (or ~$79/mo on annual), no GMV or revenue share.
Visit Clerk.ioThe honest verdict
Clerk.io is the broader product. If you want AI search, recommendations, behavioral email, and audience marketing from one mature vendor across many platforms, it genuinely covers ground MBA does not touch, and we will not pretend otherwise.
But Clerk's recommendation engine is a hosted black box: it ingests your order history and catalog into ClerkCore and gives you outcomes, not the support/confidence/lift behind each pairing. MBA exposes the math across six engines and lets you rank by margin, which matters if you want to understand and defend why a bundle exists.
Privacy and cost shape differ fundamentally. Clerk is vendor-hosted and metered per search/recommendation/email; MBA mines first-party inside your own store with a bring-your-own AI key and charges a flat fee with a free WooCommerce tier and no GMV or revenue share.
On agentic commerce MBA is further along: a public REST API plus a 19-tool MCP server (18 off Shopify) plus ACP endpoints versus Clerk's integration-oriented REST API with no published MCP or ACP surface. If you are building for AI shopping agents, that gap is the deciding factor.
Honest bottom line: pick Clerk.io to consolidate search, recs, email, and audience into one suite; pick MBA when explainable, margin-aware, first-party co-purchase intelligence and an agent-callable API matter more than suite breadth, or when you also need B2B-aware mining on OroCommerce.
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.