Recombee
Personalization software
Personalization engines
Machine learning software
E-commerce personalization software
E-commerce software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
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$99 per month
Free TrialFree version
Small
Medium
Large
- Arts, entertainment, and recreation
- Retail and wholesale
- Information technology and software
What is Recombee
Recombee is a recommendation and personalization engine that helps digital products tailor content and product suggestions based on user behavior and item data. It is typically used by e-commerce teams and product/engineering teams to implement personalized recommendations on websites, apps, and in messaging channels. The platform provides APIs and SDKs for integrating real-time recommendations and supports multiple recommendation scenarios such as related items, personalized lists, and search-related ranking. It is positioned as a vendor-neutral engine that can be embedded into existing commerce stacks rather than a full e-commerce suite.
API-first recommendation delivery
Recombee provides recommendation results through APIs designed for embedding into web and mobile experiences. This approach fits organizations that want to keep their existing storefront, CMS, or marketing tools while adding personalization. It also supports multiple recommendation use cases (e.g., personalized lists, similar items, and contextual recommendations) without requiring a full platform replacement.
Real-time behavioral personalization
The product is built around capturing user-item interactions and using them to personalize results. This supports common e-commerce and content scenarios where recommendations need to react to recent clicks, views, and purchases. It can be used to personalize on-site modules and other touchpoints where low-latency responses matter.
Flexible data and catalog modeling
Recombee supports item catalogs with properties/metadata and user attributes, enabling filtering and business rules alongside algorithmic ranking. This helps teams tailor recommendations to inventory constraints, categories, or editorial requirements. It is useful when personalization must incorporate structured product data rather than relying only on interaction history.
Requires technical implementation effort
Recombee is primarily delivered as an API-driven engine, so teams typically need engineering resources to instrument events, model catalogs, and integrate widgets or endpoints. Organizations looking for a mostly no-code personalization layer may find setup and iteration slower. Ongoing tuning often involves collaboration between product, data, and engineering.
Not a full commerce suite
The product focuses on recommendations and personalization rather than end-to-end e-commerce functions such as storefront management, payments, order management, or email campaign execution. Buyers may need additional systems for merchandising, marketing automation, and analytics workflows. This can increase integration and vendor management overhead for smaller teams.
Model governance and explainability limits
As with many machine-learning recommendation engines, understanding why a specific item is recommended can be less transparent than rule-only approaches. Teams with strict governance requirements may need additional monitoring, testing, and documentation around model behavior. This can be a consideration in regulated environments or where merchandising teams require highly explainable logic.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| Free | $0 forever | Usage limits shown on official pricing page: <100,000 recommendation requests/mo; <100,000 interactions/mo; <20,000 monthly active users; up to 20,000 catalog items; up to 2 databases (Terms). No SLA/support guarantees; account is automatically downgraded to Free after 30-day trial (Terms & FAQ). |
| Standard | $99 per month | Usage limits: 100,000 interactions/mo; 100,000 recommendation requests/mo; 20,000 active users; 20,000 catalog items. Extra traffic unit: $1.00 per unit (pricing page). Paid plan includes SLA/availability guarantees (see Terms). |
| Plus | $899 per month | Usage limits: 2,000,000 interactions/mo; 2,000,000 recommendation requests/mo; 400,000 active users; 400,000 catalog items. Extra traffic unit: $0.50 per unit (pricing page). |
| Pro | $1,499 per month | Usage limits: 5,000,000 interactions/mo; 5,000,000 recommendation requests/mo; 1,000,000 active users; 1,000,000 catalog items. Extra traffic unit: $0.30 per unit (pricing page). |
| Premium | $2,499 per month (Contact Us) | Usage limits: ≥10,000,000 interactions/mo; ≥10,000,000 recommendation requests/mo; ≥2,000,000 active users; ≥2,000,000 catalog items. Extra traffic unit: $0.20 per unit (pricing page). Premium/Platinum tiers offer bespoke pricing, account manager, advanced integration/data science support (pricing page). |
| Platinum | Custom / Contact Us | Enterprise / high-scale offering: tailored pricing for very high volumes (pricing page). |
Seller details
Recombee s.r.o.
Prague, Czech Republic
Private
https://www.recombee.com/
https://x.com/recombee
https://www.linkedin.com/company/recombee/
