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Search & Discovery
D

Dynamic Yield

AI-powered Experience OS platform by Mastercard that creates individualized customer experiences across websites, mobile apps, email, and kiosks using real-time machine learning and behavioral analysis.

Starting at$35,000/year
Visit Dynamic Yield →
💡

In Plain English

AI-powered Experience OS platform by Mastercard that delivers individualized experiences across websites, mobile apps, email, and kiosks through machine learning-driven personalization.

OverviewFeaturesPricingGetting StartedUse CasesIntegrationsLimitationsFAQSecurityAlternatives

Overview

Dynamic Yield is an AI-powered Experience Optimization platform, acquired by Mastercard in 2022, that helps enterprise brands deliver individualized digital experiences at scale across websites, mobile apps, email, advertising, and physical kiosks. Positioned as an 'Experience OS,' the platform combines a customer data layer, a real-time decisioning engine, and a unified set of personalization, testing, and recommendation tools into a single orchestration environment used by global retailers, QSRs, financial services firms, and travel brands.

At the core of the platform is its predictive algorithms suite, which uses machine learning to analyze every visitor's behavior in real time — including browsing patterns, affinity signals, product interactions, weather, time of day, location, and historical purchase context — to determine the most relevant content, product, message, or offer to surface in any given moment. Dynamic Yield's recommendation engine supports more than a dozen pre-trained strategies (such as 'Frequently Bought Together,' 'Similar Items,' 'Trending,' 'User Affinity,' and 'Recently Viewed') and lets teams blend, weight, and stack strategies into custom recipes without writing code. Behavioral messaging, triggered overlays, social proof, dynamic banners, and AI-generated variations can all be served through the same orchestration layer.

The platform's experimentation capabilities go beyond standard A/B testing into multivariate testing, server-side testing, and AI-driven multi-armed bandit allocation that automatically shifts traffic toward winning variants. Audience Discovery uses ML to surface high-value segments that human analysts might miss, while Audience Manager allows targeting based on more than 70 built-in attributes plus any custom data piped in via the customer data layer. Generative AI features added in recent releases help merchandisers and marketers ideate copy, headlines, and creative variations directly in-platform, accelerating campaign production.

Dynamic Yield supports omnichannel orchestration through a single decisioning engine, meaning a customer's interaction on the website can immediately influence the next email they receive, the recommendations shown in the mobile app, or the upsell suggested at a self-service kiosk. Native integrations exist for Shopify, Salesforce Commerce Cloud, SAP Commerce, Adobe Commerce, BigCommerce, and most major ESPs, CDPs, and analytics platforms. As part of Mastercard, the platform also leverages anonymized commerce intelligence and is increasingly bundled with Mastercard's broader personalization and loyalty offerings.

The platform is firmly enterprise-positioned: implementations typically involve a dedicated customer success manager, solution architects, and a multi-month onboarding cycle. Pricing starts around $35,000 per year and scales significantly based on traffic volume, channels, and modules activated, putting it out of reach for SMBs but well-suited to brands that need to operationalize personalization across complex, high-traffic, multi-channel environments.

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Editorial Review

Dynamic Yield delivers enterprise-grade AI personalization through Mastercard's Experience OS platform. Best suited for high-traffic retailers and financial services requiring sophisticated cross-channel personalization with exclusive transaction data insights.

Key Features

Predictive Recommendations Engine+

12+ pre-trained ML recommendation strategies (Similar Items, Frequently Bought Together, User Affinity, Trending, Recently Viewed, Cart-Based, etc.) that can be blended into custom recipes with weighted logic, contextual filters, and business rules — without writing code.

Experience Orchestration & Decisioning Engine+

A single real-time decisioning layer evaluates every visitor against active campaigns, audiences, and experiments, choosing the best variation in milliseconds across web, app, email, and kiosk channels using the same customer profile.

Experimentation Suite (A/B, MVT, Server-Side)+

Native A/B, multivariate, and server-side testing with multi-armed bandit traffic allocation, holdout groups, statistical significance calculations, and segment-level performance reporting — all built into the same UI as personalization campaigns.

Audience Discovery & Manager+

Audience Discovery uses ML to automatically surface high-value or underperforming segments. Audience Manager supports 70+ built-in attributes plus unlimited custom attributes via the customer data layer for precise targeting.

Generative AI Content & Variations+

Built-in generative AI assists merchandisers and marketers in creating copy variations, headlines, and creative for personalization campaigns and tests, reducing time from idea to live experiment.

Behavioral Messaging & Triggered Overlays+

Pre-built and customizable triggered messages, overlays, notification bars, and social proof units that fire based on real-time behavior (exit intent, cart abandonment, scroll depth, dwell time, referral source).

Customer Data Layer+

Unifies first-party behavioral, transactional, and CRM data into a single profile that powers all personalization and decisioning, with native integrations into major CDPs, ESPs, analytics tools, and commerce platforms.

Omnichannel Channels (Web, App, Email, Kiosk)+

iOS/Android SDKs for native apps, email personalization via ESP integrations, kiosk and digital signage support, and ad targeting all share the same decisioning engine and customer profile for consistent cross-channel experiences.

Pricing Plans

Plan 1

From ~$35,000/year

    Plan 2

    Custom (typically $75K–$150K/year)

      Plan 3

      Custom (typically $150K+/year)

        See Full Pricing →Free vs Paid →Is it worth it? →

        Ready to get started with Dynamic Yield?

        View Pricing Options →

        Getting Started with Dynamic Yield

        1. 1Contact Dynamic Yield enterprise sales team to discuss custom pricing quote based on traffic volume, modules needed, and integration requirements
        2. 2Audit your current customer data infrastructure, traffic volume (aim for 500k+ monthly visitors), and product catalog size for platform readiness assessment
        3. 3Assemble dedicated personalization team including technical resources for API integration, product feed management, and campaign optimization workflows
        4. 4Plan technical implementation timeline including script deployment, product catalog sync, audience building, and cross-channel identity unification setup
        Ready to start? Try Dynamic Yield →

        Best Use Cases

        🎯

        Large ecommerce retailers personalizing product recommendations, category pages, and search across high-traffic websites and mobile apps

        ⚡

        Quick-service restaurants and convenience brands orchestrating personalized upsells across self-service kiosks, drive-thru menu boards, and ordering apps

        🔧

        Financial services and insurance firms tailoring landing pages, offers, and onboarding flows based on segment, intent, and lifecycle stage

        🚀

        Travel and hospitality companies running real-time personalization on destination, fare, and package pages with weather, location, and behavioral signals

        💡

        Enterprise marketing teams running large-scale, statistically rigorous A/B and multivariate testing programs that span server-side and client-side experiments

        🔄

        Omnichannel brands needing one customer profile and one decisioning engine to coordinate web, email, app, and ad experiences in real time

        Integration Ecosystem

        15 integrations

        Dynamic Yield works with these platforms and services:

        🧠 LLM Providers
        OpenAI
        ☁️ Cloud Platforms
        AWSAzureGCP
        💬 Communication
        Email
        📇 CRM
        SalesforceHubSpot
        🔐 Auth & Identity
        sso
        📈 Monitoring
        google-analyticsadobe-analytics
        🔗 Other
        apiwebhookshopifybigcommercecontentful
        View full Integration Matrix →

        Limitations & What It Can't Do

        We believe in transparent reviews. Here's what Dynamic Yield doesn't handle well:

        • ⚠Dynamic Yield is not a fit for SMBs, early-stage Shopify stores, or teams without dedicated developer and CRO resources — the platform's power depends on a well-instrumented data layer and ongoing program management. Pricing is opaque and entry costs are high, so brands with low traffic or limited personalization maturity will struggle to justify ROI versus lighter-weight tools like Nosto or Rebuy. The interface, while powerful, is dense and can be intimidating for marketers used to simpler dashboards, and many advanced capabilities (server-side testing, custom algorithms, deep audience modeling) require either Customer Success involvement or technical expertise. As an enterprise platform, contract terms are typically annual with limited month-to-month flexibility, and switching costs are significant once the data layer is fully integrated.

        Pros & Cons

        ✓ Pros

        • ✓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

        ✗ Cons

        • ✗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

        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.

        🔒 Security & Compliance

        🛡️ SOC2 Compliant
        ✅
        SOC2
        Yes
        ✅
        GDPR
        Yes
        —
        HIPAA
        Unknown
        ✅
        SSO
        Yes
        ❌
        Self-Hosted
        No
        ❌
        On-Prem
        No
        ✅
        RBAC
        Yes
        ✅
        Audit Log
        Yes
        ✅
        API Key Auth
        Yes
        ❌
        Open Source
        No
        ✅
        Encryption at Rest
        Yes
        ✅
        Encryption in Transit
        Yes
        Data Retention: Customizable
        Data Residency: GLOBAL WITH REGIONAL OPTIONS
        📋 Privacy Policy →
        🦞

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        What's New in 2026

        Through late 2025 and into 2026, Dynamic Yield has continued deepening its integration with Mastercard's commerce and loyalty stack, including expanded use of anonymized commerce intelligence to inform recommendations and audience discovery. The platform has expanded its generative AI capabilities for in-platform content creation, headline variation, and campaign ideation, and added stronger AI-driven personalization for self-service kiosks and connected commerce environments. New emphasis has been placed on agentic personalization workflows — where AI agents propose, launch, and iterate on experiments with human approval — and on tighter integration with major commerce platforms including Shopify, Salesforce Commerce Cloud, and SAP Commerce.

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        Quick Info

        Category

        Search & Discovery

        Website

        www.dynamicyield.com
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