Quick verdict (TL;DR)
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. Contracts typically start 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 $99 to $249/month with one-click setup, CustomFit.ai does that without the enterprise overhead.
Feature comparison table
| Feature | CustomFit.ai | Dynamic Yield |
|---|
| Shopify native integration | β (one-click) | β (Shopify Plus integration) |
| No-code visual editor | β | β |
| D2C/ecommerce metrics (AOV, RPV) | β native | β (ecommerce-focused) |
| AI-powered optimization | β predictive intent + dynamic allocation | β (advanced ML personalization) |
| 14-day free trial | β | β (enterprise sales only) |
| Starting price | $99/mo | $100,000+/year (estimated) |
| Developer required for setup | No | Yes (implementation team required) |
| ISO 27001 / SOC 2 | β | β |
| Product recommendations engine | No | β (advanced ML recommendations) |
| Email / off-site personalization | No | β |
Ease of setup
CustomFit.ai installs in under 30 minutes: the Shopify app goes in with one click, or you add a JS snippet for other platforms. No implementation team, no professional services engagement. A lean marketing team can run its 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 deep and feature-rich, but the time to first test is measured in weeks, not hours. That investment makes sense at enterprise scale. For a D2C brand, it is a significant barrier.
A/B testing capabilities
CustomFit.ai supports A/B, multivariate, split URL, and multi-page funnel tests with AI-driven dynamic traffic allocation. The AI rebalances traffic toward leading variants, which cuts the time to statistical significance. Over 1000 targeting attributes, including purchase history, cart behavior, predictive buyer intent, and geographic and behavioral signals, let you run precisely targeted experiments.
Dynamic Yield's experimentation is built for enterprise: A/B testing, multivariate, and experience targeting across web, mobile, and native apps. Its machine learning engine goes beyond traffic allocation into continuous, real-time content adaptation. Rather than running discrete A/B tests with a winner, Dynamic Yield can personalize at the individual level using historical and in-session signals. For an enterprise with millions of visitors, that matters. 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 gives clearer, more actionable results.
Personalization features
CustomFit.ai's personalization uses 1000+ behavioral and ecommerce attributes to serve differentiated content without code. AI-predicted purchase intent scores let you target high-intent visitors. 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. Its recommendation engine is designed for high-SKU retail and performs well at scale. For most D2C brands with a focused product catalog this is overkill. For large retailers with thousands of SKUs it becomes compelling.
Analytics and reporting
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, that reporting depth turns into time spent navigating dashboards rather than acting on insights.
Pricing comparison
| Plan | CustomFit.ai | Dynamic Yield |
|---|
| Starter | $99/mo (50K MUV) | Not available |
| Growth | $249/mo (100K MUV) | Not available |
| Enterprise | Custom | $100,000 to $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 point to annual contracts commonly exceeding $100,000. Some estimates for mid-market implementations run $200,000 to $500,000+ annually once implementation and professional services are included. CustomFit.ai's accessible pricing puts enterprise-grade AI personalization within reach of D2C brands at every growth stage.
Who should choose CustomFit.ai
- Shopify D2C brands that want AI personalization and A/B testing at accessible monthly pricing without an implementation project.
- Marketing teams that need to move from idea to live test in under 30 minutes without engineering support.
- Brands that measure success in revenue, since CustomFit.ai's native RPV and AOV tracking gives clear financial answers without custom analytics configuration.
- Indian D2C brands, where βΉ8,300/month (Starter) versus a six-figure enterprise contract is a straightforward decision.
Who should choose Dynamic Yield
- Large enterprise retailers with 1M+ monthly visitors, thousands of SKUs, and dedicated technology teams that can use Dynamic Yield's full ML capabilities.
- QSR and hospitality brands using Dynamic Yield's menu personalization and in-location digital experience tools, a specific use case where Dynamic Yield has unique capabilities.
- Organizations that want email and on-site personalization in one platform. Dynamic Yield's cross-channel capability is genuine and valuable for enterprise omnichannel programs.
Migration guide
For D2C brands on or evaluating Dynamic Yield who want to right-size their tooling:
- Identify your active personalization use cases. Document the personalization rules and A/B tests currently running in Dynamic Yield, and focus on the ones that drive measurable revenue impact.
- Install CustomFit.ai via the Shopify app (one click) or a JS snippet, and start collecting behavioral and ecommerce data right away.
- Recreate priority experiences. Use CustomFit.ai's visual editor and audience targeting to rebuild the highest-impact personalization rules and A/B tests. Its 1000+ attributes cover the behavioral and ecommerce signals that drive most D2C personalization value.
- Run in parallel for 2 weeks. Verify that CustomFit.ai's revenue tracking matches Shopify analytics before you close out the Dynamic Yield engagement.
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.
FAQ
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 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, so 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, automatically calculated from Shopify order data and shown alongside conversion rate and AOV for every test.
Yuvraj Singh8 min read
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