MBA
Compare

MBA vs Glood

AI-driven personalization. Multi-platform. SaaS subscription with a cut of attributed revenue.

Platforms compared:ShopifyWooCommerceMagento / Adobe Commerce
1Glood hides pricing behind a demo. MBA prints $49/month on the homepage. That alone tells you which buyer profile each one is built for.
2Glood's claim to fame is reach: roughly 5,000 stores, enterprise logos including Gap-tier brands. That distribution is real. MBA's edge is depth: per-merchant mining you can audit, plus multi-platform + MCP.
3Glood ships a web push channel that MBA does not (yet). If marketing via web push notifications is a primary recovery surface for you, that's a Glood column.
4MBA's six MCP tools expose recommendations, substitutes, and quote-bundles to AI agents (Claude, Cursor, OpenAI Agent SDK). Glood ships no agent-callable surface.
5Glood's AI is a shared cross-store model. MBA's mining runs over your store's own order history and only your store's. If data sovereignty matters to your buyer or your legal team, that distinction is load-bearing.

When MBA wins

You want transparent rules from your own order history, no monthly SaaS line item, and full control over what gets recommended on which page.

When Glood wins

You don't have a developer, you want a managed AI black box, and your store has steady traffic to feed the model.

Feature comparison

Color-striped rows favor MBA, Glood, or are even. We mark each so you can scan for the trade-offs that matter to you.

FeatureMBAGlood
Source of recommendations
Real co-purchase rules mined from your own order history. The rules are inspectable in your admin (support, confidence, lift columns).
Vendor-hosted ML model trained across stores. The model is a black box; you don't see the rules it derived.
Where data lives
Stays in your store DB. Nothing leaves the merchant's infrastructure. AI features (optional) use BYO Anthropic/OpenAI keys.
Order data + behavior data flows to Glood's servers. Their AI is the value, so this is by design.
Pricing model
Flat $49/mo for WooCommerce, $199/mo for Magento. No usage caps, no revenue share, no add-ons.
Tiered SaaS by order volume + revenue share on attributed sales. Bills scale with success.
Cold-start handling
If your store has no orders, the ai_catalog engine (Pro tier) generates plausible recommendations from catalog metadata using your own LLM key. Disabled by default.
AI model handles cold start natively; trained on the cross-store dataset.
Storefront integration
Native WordPress shortcode + Gutenberg block + theme template tag. Magento storefront block. Shopify theme app block. No JS-injection layer.
JS embed snippet that renders the widget client-side after the page loads. Single integration across platforms.
Agent / MCP / API access
Public REST API + dedicated MCP server. Claude Desktop, Claude Code, Cursor, OpenAI Agent SDK can query recommendations directly. Public REST docs.
No first-class agent API. Some webhooks, but rec retrieval is widget-only.
B2B / wholesale support
Per-account recommendations + RequisitionList integration on Adobe Commerce B2B. Distinct from B2C recs.
B2C-focused. B2B isn't a first-class concept in their UX.
Time to first recommendation
10-15 minutes (install + run one mining job). Requires order history.
Faster on cold-start stores (model is pretrained). Hours-to-days to fully personalize as it learns your store.
Vendor lock-in
Source-available plugin you install on your own server. If you cancel, the rules + widgets keep working until you uninstall.
Cancel = recommendations stop. Data + model are vendor-side.

Pricing snapshot

MarketBasketAnalysis

Flat $49/mo for WooCommerce, $199/mo for Magento, $49/mo for Shopify (in App Store review). No usage caps, no revenue share, no add-ons.

See plans

Glood

Tiered SaaS by order volume. Free plan up to a low cap, then $29-$499+ /month depending on store size, plus a revenue share on attributed sales.

Visit Glood

Pricing at GMV tiers

Rough cost comparison at representative store sizes. Real numbers from real procurement land within a wide band; this is the math we'd walk you through if you emailed and asked.

TierMBAGlood
Pre-launch / under $200K GMV$49/mo flat (Pro tier)
Free entry tier with low order caps; paid tiers start around $29/mo
Glood's free tier is competitive here. MBA's edge is the inspectable rules and MCP server, not the price at this band.
$1M GMV / ~10K orders/year$49/mo flat
Roughly $99-$199/mo on published tiers, plus an order-volume rev share on attributed sales
MBA's flat fee starts pulling ahead here, especially once the attributed-sales rev share kicks in.
$10M GMV / 100K+ orders/year$49/mo flat
Custom enterprise band, $500+/mo plus rev share, demo-gated
Most $10M+ stores end up in Glood's enterprise band where pricing turns quote-only. MBA stays at $49.
$50M+ GMV (Gap-tier)$49/mo flat (or hosted enterprise on request)
Enterprise contract; Glood has reference logos in this band but no public pricing
If you're at Gap scale, you're probably already in a managed-AI-vendor RFP and pricing turns custom on both sides.

When to pick each, expanded

The above-the-fold version is one sentence each. Here are the full bullet lists.

Pick MBA when

  • You want rules mined from YOUR order history, not a shared model trained across other stores.
  • Multi-platform matters: you run WooCommerce, Magento, OroCommerce, or some combination, and want one rules layer across them.
  • Inspectable rules are a procurement requirement (regulated industries, internal audit teams, transparency-conscious buyers).
  • You want agent-callable recommendation infrastructure: MCP tools for Claude Desktop, Cursor, OpenAI Agent SDK.
  • Predictable flat pricing matters more than enterprise reference logos.

Pick Glood when

  • Your store is cold-start (no order history) and you want a pretrained model to bridge until you have data of your own.
  • Web push is a primary channel for you and you don't want to wire up a separate push vendor.
  • Reference logos for enterprise procurement matter more than per-merchant transparency.
  • You're OK with a vendor-hosted, cross-store-trained model and the rev share on attributed sales.
  • You're Shopify-only, BigCommerce-only, or single-platform and don't plan to add others.

The honest verdict

1

If your store has zero or near-zero orders, Glood's pretrained model will produce useful recommendations faster than MBA's order-mining can.

2

If you have an established store with real order history, MBA's transparent rules from YOUR data will be more accurate and won't include a revenue share.

3

MBA is the right answer when ops control matters: you can audit every rule, override recommendations per opportunity, and run the entire system on your own server.

4

Glood is the right answer when you want a SaaS black box that 'just works' and you're OK paying a revenue share to avoid running the system yourself.

5

Most merchants don't need both, pick one based on whether 'managed-but-opaque' or 'self-hosted-and-transparent' matches your engineering culture.

Frequently asked, MBA vs Glood

Why is Glood listed with 5,000+ stores and Gap-tier logos?

Those numbers come from Glood's own marketing claims and public case studies. We list them because they're real distribution and they matter to enterprise buyers. They don't change the underlying capability comparison, which is what this page is about.

Does MBA have a web push channel?

Not today. Web push is on the longer-term roadmap but not P1. If push notifications are a primary recovery surface for you, that's a real reason to pick Glood today.

What does 'inspectable rules' actually mean?

Every recommendation in MBA's admin shows the support (how many baskets contained this pair), confidence (how often A in basket meant B in basket), and lift (how much more often than chance). Your merchandiser can audit, override, or suppress any rule. Glood does not surface this; you see what their AI suggests, not why.

Is the rev share on attributed sales a deal-breaker?

Depends on margin. On high-margin SKUs (apparel, supplements, equipment accessories) the rev share is a real haircut. On low-margin SKUs (commodity electronics, consumables) the absolute dollars are smaller. Run your own math against your AOV and gross margin before committing.

Can I run both?

Technically yes, but it's wasteful. Both run on the same surface (PDP / cart). Pick one based on whether you want managed-and-opaque-with-reach (Glood) or self-hosted-and-transparent-with-MCP (MBA).

What about Glood's enterprise features (segmentation, audience builders)?

Glood has invested heavily in personalization-engine UI. MBA's surface is more developer-oriented (rules, API, MCP) and less marketer-oriented (audience-builder UI). If you have a CRM / personalization team that lives in audience-builder UIs, Glood's UX fits that workflow better.

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).

MBA vs BloomreachMBA vs widget cluster

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.

See pricingRead the docs