MBA vs Native Recommender by Peasisoft
BigCommerce-native upsell, cross-sell, and 'Frequently Bought Together' widgets you hand-curate, polished and cheap, but rule-driven rather than mined.
When MBA wins
You want the recommendations computed from your actual order history (support/confidence/lift, profit-aware ranking), turned into real catalog bundles, and callable by AI shopping agents, including on BigCommerce.
When Native Recommender by Peasisoft wins
You run a single BigCommerce store and just want attractive, theme-matched upsell/cross-sell/FBT boxes where you hand-pick the products, at the lowest entry price with a proven marketplace track record.
Feature comparison
Color-striped rows favor MBA, Native Recommender by Peasisoft, or are even. We mark each so you can scan for the trade-offs that matter to you.
| Feature | MBA | Native Recommender by Peasisoft |
|---|---|---|
| Source of recommendations | Mined from your own order history. Six engines: sql_pairs, fp_growth (default), seasonal_cohort, return_aware, profit-aware HUI, ai_catalog LLM cold-start, plus a co_occurrence fallback. Every rule carries support, confidence, and lift. | Merchant-curated. You paste a CSS class into the page and hand-pick which products appear in each offer. 'Frequently Bought Together' is a widget layout, not co-purchase math. |
| Storefront widget UX on BigCommerce | Functional widgets across our five platforms; less BigCommerce-specific theme polish than a single-platform specialist. | Native-looking, non-intrusive, theme-matched widgets honed over years on BigCommerce. Full design customization (fonts, colors, button text, templates, custom CSS), no theme editing required. |
| Entry price | Free $0 tier on every platform. Paid is Plus $99/mo flat (or ~$79/mo on annual). Flat, no GMV or revenue share. | Free $0 tier (400 views/mo), then $14.99-$49.99/mo metered by offer impressions. Cheaper to start for a small BigCommerce store. |
| Profit / margin awareness | HUI engine ranks rules by margin contribution; Opportunities feed (Top, High-Margin, Emerging, Underperforming Attach) flows into Bundle Proposals. | None. Offers report impressions, revenue, conversions, and conversion rate after the fact, but nothing optimizes for margin. |
| Placements / touchpoints covered | PDP, cart, checkout experiments, post-purchase, plus homepage recs and search re-rank, with substitutions and out-of-stock fallbacks. | PDP, cart, cart drawer/slider, and thank-you page. Solid core coverage; thank-you-page offers can't carry discounts (a BigCommerce API constraint). |
| Built-in A/B testing of offers | Checkout experiments and configurable engine/thresholds, but not a turnkey per-widget A/B harness for storefront offers today. | Dedicated, built-in A/B testing for offer widgets, with a documented help category for it. |
| Real catalog bundles vs impressions | Creates actual bundle/kit products: SKU, pricing strategy, AI-generated copy, draft-to-live lifecycle, and conversion attribution. | Widget-only. Shows recommendation and FBT impressions (FBT now supports more than three products) but does not create real bundle SKUs. |
| Agent-native surface (API / MCP / ACP) | Public REST API, a 19-tool agent-callable MCP server usable by any MCP host, and ACP discovery + endpoints. Default models claude-haiku-4-5 / gpt-4o-mini, selectable up to claude-opus-4-8 / claude-sonnet-4-6 / gpt-4.1. | None. No public API, no MCP server, no ACP endpoints. Invisible to AI shopping agents. |
| B2B capabilities | B2B-aware mining with a B2B-native OroCommerce build and cross-store insights. | Consumer-only. No quote/RFQ bundles, reorder prediction, company hierarchy, or contract pricing. Offers do support customer-group pricing display. |
| Track record on BigCommerce | Newer entrant; listings still maturing. We ship on five platforms including BigCommerce, but we don't yet match a single-platform incumbent's install base. | Mature footprint: ~2,700+ merchants on this app, ~4.9-5.0 stars with 100+ reviews, featured app, and a 2021 BigCommerce Technology Award (3rd place). |
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 plansNative Recommender by Peasisoft
Free-to-install, view-metered subscription. Free $0 (400 offer views/mo), Starter $14.99/mo (1,000 views), Growth $24.99/mo (3,000 views), Professional $49.99/mo (8,000 views). Same feature set on every tier; cost scales on impression volume, not GMV.
Visit Native Recommender by PeasisoftThe honest verdict
Different intent. Native Recommender is a display tool: you decide what goes in the upsell/cross-sell/FBT box, it renders it natively and cheaply on BigCommerce. MBA is a discovery tool: it mines your order history and tells you what actually sells together, ranked by lift and margin.
If you're a single BigCommerce store that just wants polished, hand-curated upsell widgets with built-in A/B testing at a low flat price, Peasisoft is a fine, proven pick, and its native-theme UX and marketplace track record beat ours there today.
MBA's wedge: explainable six-engine co-purchase math (sql_pairs, fp_growth, seasonal_cohort, return_aware, profit-aware HUI, ai_catalog cold-start), plus a co_occurrence fallback, profit-aware ranking, real catalog bundles with attribution, and substitutions, none of which a manual widget offers.
Only MBA is agent-native: a REST API, a 19-tool MCP server (18 off Shopify) any MCP host can call, and ACP endpoints, plus the same intelligence across five platforms (Shopify, BigCommerce, WooCommerce, Magento, OroCommerce) and a B2B layer Peasisoft doesn't touch.
Honest caveat: Peasisoft's help docs look stale (last updated ~3-4 years ago) and its view-metered pricing can soft-cap a high-traffic store, but if manual control on one platform is all you need, algorithmic mining is overkill.
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.