Dynamic Yield Doesn't Have a Free Plan — Here's What It Costs

⚡ Quick Verdict

No free plan. The cheapest way in is paid plan at From ~$35,000/year. Consider free alternatives in the search & discovery category if budget is tight.

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Who Should Pay for This

👤

Best For

✓Established business
✓Budget for premium tools
✓Need search & discovery features
✓Professional use case
✓Want official support

What Users Say About Dynamic Yield

👍 What Users Love

✓Unified Experience OS handles personalization, A/B testing, recommendations, triggered messaging, and audience management in one decisioning engine — reducing the need to stitch together point solutions
✓Predictive recommendation engine ships with 12+ pre-trained strategies that can be blended into custom recipes without code, and continuously self-optimizes via multi-armed bandit allocation
✓True omnichannel orchestration: the same customer profile and decisioning logic powers web, mobile app, email, push, ads, and in-store kiosks (notably used by McDonald's drive-thrus pre-divestiture)
✓Strong experimentation depth — server-side testing, MVT, holdout groups, and statistical significance reporting are built in, not bolted on as a separate product
✓Mastercard ownership brings enterprise-grade security, global infrastructure, and access to anonymized commerce intelligence that smaller personalization vendors cannot match
✓Audience Discovery uses ML to automatically surface high-value or underperforming segments, helping teams find personalization opportunities they would not have hypothesized manually

👎 Common Concerns

⚠Enterprise-only pricing starting around $35,000/year — and frequently 6-figures at scale — puts it out of reach for SMBs and most mid-market brands
⚠Steep learning curve: the platform's depth means non-technical marketers often need significant training or ongoing CSM support to use advanced features effectively
⚠Implementation typically requires developer resources to deploy the script, configure the data layer, and integrate with backend systems — not a plug-and-play tool
⚠UI is dense and feature-heavy compared to lighter-weight competitors like Nosto or Rebuy, which can slow down day-to-day campaign execution for smaller teams
⚠Pricing is opaque and quote-based, making it difficult to budget or compare against alternatives without going through a multi-week sales cycle

🆓 Free Alternatives to Dynamic Yield

→ Algolia AI

Free plan includes: 10,000 search requests/month, 1 million records included, core keyword search functionality

Free PlanCompare →

Frequently Asked Questions

Who owns Dynamic Yield and how does that affect the product?

Dynamic Yield was acquired by Mastercard in 2022 (after being briefly owned by McDonald's). Under Mastercard, the platform has expanded its enterprise security posture, gained access to anonymized commerce intelligence, and is increasingly positioned alongside Mastercard's loyalty and personalization services for financial institutions and large retailers.

How much does Dynamic Yield cost?

Dynamic Yield is enterprise-only with custom pricing. Entry-level contracts typically start around $35,000 per year, and pricing scales based on monthly site traffic, the number of channels activated (web, app, email, kiosk), and the modules licensed. Most production deployments at mid-to-large brands fall into the six-figure annual range.

What's the difference between Dynamic Yield and Adobe Target or Optimizely?

Adobe Target and Optimizely are primarily experimentation-first platforms that have added personalization. Dynamic Yield is personalization-first with experimentation built in, and offers a more opinionated set of pre-built recommendation strategies and triggered messaging templates. It also has stronger native support for omnichannel use cases like mobile apps and physical kiosks.

Does Dynamic Yield require developers to implement?

Yes. While campaign building is no-code once set up, initial implementation requires installing the Dynamic Yield script, configuring the data layer, and integrating product feeds and customer data sources. Most deployments involve a 4–12 week onboarding period with dedicated solution architects.

What channels can Dynamic Yield personalize?

Web, mobile web, native mobile apps (iOS/Android SDKs), email (via integrations with major ESPs), push notifications, advertising, and self-service kiosks. The same decisioning engine and customer profile powers all channels, enabling true cross-channel orchestration rather than siloed personalization per channel.

Ready to Get Started?

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Last verified March 2026

What Users Say About Dynamic Yield

👍 What Users Love

✓Unified Experience OS handles personalization, A/B testing, recommendations, triggered messaging, and audience management in one decisioning engine — reducing the need to stitch together point solutions
✓Predictive recommendation engine ships with 12+ pre-trained strategies that can be blended into custom recipes without code, and continuously self-optimizes via multi-armed bandit allocation
✓True omnichannel orchestration: the same customer profile and decisioning logic powers web, mobile app, email, push, ads, and in-store kiosks (notably used by McDonald's drive-thrus pre-divestiture)
✓Strong experimentation depth — server-side testing, MVT, holdout groups, and statistical significance reporting are built in, not bolted on as a separate product
✓Mastercard ownership brings enterprise-grade security, global infrastructure, and access to anonymized commerce intelligence that smaller personalization vendors cannot match
✓Audience Discovery uses ML to automatically surface high-value or underperforming segments, helping teams find personalization opportunities they would not have hypothesized manually

👎 Common Concerns

⚠Enterprise-only pricing starting around $35,000/year — and frequently 6-figures at scale — puts it out of reach for SMBs and most mid-market brands
⚠Steep learning curve: the platform's depth means non-technical marketers often need significant training or ongoing CSM support to use advanced features effectively
⚠Implementation typically requires developer resources to deploy the script, configure the data layer, and integrate with backend systems — not a plug-and-play tool
⚠UI is dense and feature-heavy compared to lighter-weight competitors like Nosto or Rebuy, which can slow down day-to-day campaign execution for smaller teams
⚠Pricing is opaque and quote-based, making it difficult to budget or compare against alternatives without going through a multi-week sales cycle