AI Tool Comparison
Comparing as AI Product Recommendations & PersonalizationDynamic Yield vs Klevu

Dynamic Yield
VS

Klevu
Verdict by Category
Detailed Comparison
Feature
Dynamic Yield
Klevu
Pricing
CustomDynamic Yield does not publish public pricing. It operates on a custom, quote-based enterprise pricing model, with third-party industry estimates placing entry-level annual contracts around $35,000+ per year, scaling based on traffic volume, number of channels (web, app, email, offline), and which platform modules (Segmentation, Targeting, Recommendations, Journey Orchestration, Optimization, Search, AI Agents) are included. Prospective customers must book a demo directly with the Mastercard Dynamic Yield sales team to receive a specific quote.
FreemiumKlevu uses custom, usage-based pricing scaling with domains, sessions, and SKU count, billed annually with no permanent free plan, though a 14-day free trial is available to test the platform. On Shopify, published starting prices include $449/month for the Recommendations module (500K impressions), $549/month for Category Merchandising, and $649/month for Site Search, with combined or larger-catalog plans ranging from $799 to $1,499+/month depending on traffic and product count. Third-party review sites also list a general starting price around $499/month per user for the base Klevu platform. Pricing for non-Shopify platforms, including Magento, BigCommerce, and custom storefronts, requires a fully custom quote from Klevu's sales team based on catalog size, traffic volume, and which modules (Search, Merchandising, Recommendations, Personalization, Klevu Moi) are needed. Enterprise customers with very large catalogs or complex multi-region requirements should expect pricing at the higher end of or above the published ranges.
Categories
AI E-commerce Tools
AI E-commerce ToolsAI Marketing ToolsAI Search Engines
Summary
Mastercard's enterprise AI personalization and experimentation platform, Experience OS
AI-powered search and product discovery that helps shoppers find what they want to buy
Dynamic Yield Pros & Cons
Pros
- Named a Gartner Magic Quadrant Leader for Personalization Engines for eight consecutive recognition periods (2019-2025)
- Unified Experience OS architecture connects testing, personalization, and recommendations in one workflow instead of siloed tools
- Backed by Mastercard's infrastructure, security certifications (SOC II, ISO 27701/27017/27018), and enterprise-grade compliance (GDPR, CCPA)
- Shopping Muse and Experience OS Agents bring genuine AI-native conversational commerce and workflow automation to the platform
- Proven at massive scale: 400+ brands, tens of millions of daily transactions, and well-documented case studies (G Adventures +50% conversion, Ocado +55% add-to-cart)
- Open, agnostic architecture integrates with existing DMPs, web analytics, and tag managers rather than forcing a full stack replacement
Cons
- No public pricing — entry cost is reported around $35k+/year, positioning it firmly as an enterprise-only tool out of reach for small and mid-sized merchants
- Requires a demo and sales conversation to get any pricing information, slowing down evaluation for buyers who want quick comparisons
- Ownership under Mastercard (following the McDonald's-to-Mastercard acquisition history) may raise questions for some brands about long-term product roadmap independence
- Feature breadth (segmentation, targeting, recommendations, journey orchestration, optimization, search, AI agents) means a genuine learning curve and likely need for a dedicated CRO or personalization team
- Best suited to organizations with existing experimentation and personalization maturity; smaller teams may find the full platform more than they need
Klevu Pros & Cons
Pros
- Semantic AI search genuinely understands vague and misspelled queries better than basic keyword search
- Klevu Moi's conversational shopping assistant is a differentiated feature most search competitors don't yet offer
- Strong, consistent review ratings: 4.8/5 on the Shopify App Store and 4.4/5 across broader platforms
- Search Insights dashboard gives merchandising teams actionable data on zero-result searches and conversion gaps
- Well-documented APIs and SDKs make integration straightforward across Shopify, Magento, and BigCommerce
Cons
- Fully custom, quote-based pricing with no free tier, only a 14-day trial, making upfront budgeting difficult
- Entry pricing around $449-$499/month puts it out of reach for very small stores or those just starting out
- Now owned by Athos Commerce following its January 2025 acquisition, alongside Searchspring and Intelligent Reach, which may mean product direction shifts over time
- Best value requires a large enough catalog and search volume to justify the premium price point
- Non-Shopify platform pricing (Magento, BigCommerce, custom storefronts) requires a fully custom quote rather than published tiers
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