Concepts referenced in this article, defined.
Run rigorous A/B tests and personalize every visit on Shopify or any storefront โ no engineers required.
Dynamic Yield (acquired by Mastercard in 2022, now part of its merchant solutions portfolio) is an enterprise AI personalization platform used by large retailers, QSR chains, and financial services brands globally โ with contracts typically starting at six figures annually. CustomFit.ai is built for growth-stage D2C and ecommerce brands that need AI-powered personalization and A/B testing without enterprise pricing or a dedicated technology team. If you are a mid-market or enterprise retailer with a CRO engineering team and a seven-figure marketing technology budget, Dynamic Yield is a genuine contender. If you run a Shopify brand and want predictive personalization and A/B testing at $99โ$249/month with one-click setup, CustomFit.ai delivers that without the enterprise overhead.
| Feature | CustomFit.ai | Dynamic Yield |
|---|---|---|
| Shopify native integration | โ (one-click) | โ (Shopify Plus integration) |
| No-code visual editor | โ | โ |
| D2C/ecommerce metrics (AOV, RPV) | โ native | โ (ecommerce-focused) |
| AI-powered optimization | โ predictive intent + dynamic allocation | โ (advanced ML personalization) |
| 14-day free trial | โ | โ (enterprise sales only) |
| Starting price | $99/mo | $100,000+/year (estimated) |
| Developer required for setup | No | Yes (implementation team required) |
| ISO 27001 / SOC 2 | โ | โ |
| Product recommendations engine | No | โ (advanced ML recommendations) |
| Email / off-site personalization | No | โ |
CustomFit.ai installs in under 30 minutes โ Shopify app in one click, or JS snippet for other platforms. No implementation team, no professional services engagement. A lean marketing team can be running their first A/B test within the same business day as signup.
Dynamic Yield is enterprise software that requires a formal implementation project. Typical onboarding includes a kickoff meeting, technical discovery, implementation planning, and a multi-week integration sprint with Dynamic Yield's implementation team and your development team. The platform is powerful and feature-rich, but the time-to-first-test is measured in weeks, not hours. Dynamic Yield's depth justifies this investment at enterprise scale; for a D2C brand, it is a significant barrier.
CustomFit.ai supports A/B, multivariate, split URL, and multi-page funnel tests with AI-driven dynamic traffic allocation. The AI continuously rebalances traffic toward leading variants, compressing the time to statistical significance. Over 1000 targeting attributes โ purchase history, cart behavior, predictive buyer intent, geographic and behavioral signals โ let you run precisely targeted experiments.
Dynamic Yield's experimentation capabilities are enterprise-grade: A/B testing, multivariate, and experience targeting across web, mobile, and native apps. Dynamic Yield's machine learning engine goes beyond traffic allocation into continuous, real-time content adaptation โ meaning rather than running discrete A/B tests with a winner, Dynamic Yield can continuously personalize at the individual level using historical and in-session signals. For an enterprise with millions of visitors, this is meaningful. For a D2C brand with tens of thousands of monthly visitors, the statistical basis for individual-level ML adaptation is thinner, and discrete A/B testing delivers clearer, more actionable results.
CustomFit.ai's personalization uses 1000+ behavioral and ecommerce attributes to serve differentiated content without code. AI-predicted purchase intent scores enable high-intent visitor targeting. Indian D2C brands like Bellavita (11% CVR uplift) and Kapiva (9.48% CVR uplift) have used this targeting to personalize product page messaging by behavioral cohort and campaign source.
Dynamic Yield's personalization is among the deepest in the industry. It includes: algorithmic product recommendations (collaborative filtering, trending products, frequently bought together), email personalization with real-time content blocks, mobile app personalization, and continuous AI-driven content adaptation. Dynamic Yield's recommendation engine is specifically designed for high-SKU retail and has strong performance at scale. This is overkill for most D2C brands with a focused product catalog; it becomes compelling for large retailers with thousands of SKUs.
CustomFit.ai tracks revenue per visitor (RPV), average order value (AOV), conversion rate, and add-to-cart rate natively from Shopify. Reporting is simple and revenue-focused, with statistical significance shown per experiment.
Dynamic Yield's analytics layer is extensive: real-time audience analytics, segment performance dashboards, revenue attribution by experience, and integration with enterprise data warehouses. Its reporting is built for teams with dedicated analysts who want to interrogate every angle of personalization performance. For a lean D2C marketing team, the reporting depth translates to time spent navigating dashboards rather than acting on insights.
| Plan | CustomFit.ai | Dynamic Yield |
|---|---|---|
| Starter | $99/mo (50K MUV) | Not available |
| Growth | $249/mo (100K MUV) | Not available |
| Enterprise | Custom | $100,000โ$500,000+/year |
| Free trial | 14 days, no credit card | No (enterprise sales only) |
Dynamic Yield does not publish pricing. Industry sources and Mastercard's enterprise positioning indicate annual contracts commonly exceeding $100,000. Some estimates for mid-market implementations run $200,000โ$500,000+ annually when implementation and professional services are included. CustomFit.ai's accessible pricing makes enterprise-grade AI personalization available to D2C brands at every growth stage.
For D2C brands on or evaluating Dynamic Yield who want to right-size their tooling:
Note: Dynamic Yield's ML recommendation engine for high-SKU catalogs does not have a direct equivalent in CustomFit.ai. If product recommendations are a primary use case, a specialized recommendation tool may complement CustomFit.ai.
Who owns Dynamic Yield now? Dynamic Yield was acquired by Mastercard in 2022. It continues to operate as part of Mastercard's merchant and retail solutions portfolio. The acquisition signals that Dynamic Yield is positioned as an enterprise retail technology solution rather than a broad SaaS platform.
Does Dynamic Yield have a Shopify app? Dynamic Yield has a Shopify Plus integration available for enterprise Shopify merchants. It requires implementation support and is not a self-serve one-click install. CustomFit.ai's Shopify app is available to all Shopify merchants regardless of plan tier.
Can CustomFit.ai do ML-based product recommendations like Dynamic Yield? No. Dynamic Yield's recommendation engine using collaborative filtering is a genuine differentiator for high-SKU retailers. CustomFit.ai supports personalized content and offers but does not have an equivalent algorithmic product recommendation engine. For recommendation-focused use cases, CustomFit.ai is best paired with a dedicated recommendations tool.
How does A/B testing differ between the two platforms? CustomFit.ai runs discrete A/B tests with statistical significance targets and a clear winner/loser outcome. Dynamic Yield can run continuous ML-driven content adaptation that goes beyond binary tests, optimizing at the individual level. For teams that want experimental rigor with clear causal attribution, CustomFit.ai's discrete testing approach is actually more interpretable.
Is $99/month pricing realistic for what CustomFit.ai offers? Yes. CustomFit.ai's Starter plan at $99/month includes A/B testing, personalization, AI optimization, and Shopify integration for up to 50,000 monthly unique visitors. The pricing reflects a deliberate focus on D2C brands rather than enterprise โ features are scoped to what ecommerce marketers actually need.
Does CustomFit.ai support revenue per visitor (RPV) as a primary test metric? Yes. RPV is a native first-class metric in CustomFit.ai โ automatically calculated from Shopify order data and shown alongside conversion rate and AOV for every test.