Master Dynamic Yield with our step-by-step tutorial, detailed feature walkthrough, and expert tips.
Contact Dynamic Yield enterprise sales team to discuss custom pricing quote based on traffic volume, modules needed, and integration requirements Audit your current customer data infrastructure, traffic volume (aim for 500k+ monthly visitors), and product catalog size for platform readiness assessment Assemble dedicated personalization team including technical resources for API integration, product feed management, and campaign optimization workflows Plan technical implementation timeline including script deployment, product catalog sync, audience building, and cross
channel identity unification setup
💡 Quick Start: Follow these 2 steps in order to get up and running with Dynamic Yield quickly.
Explore the key features that make Dynamic Yield powerful for search & discovery workflows.
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.
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.
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 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.
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.
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).
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.
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.
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.
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.
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.
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.
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.
Now that you know how to use Dynamic Yield, it's time to put this knowledge into practice.
Sign up and follow the tutorial steps
Check pros, cons, and user feedback
See how it stacks against alternatives
Follow our tutorial and master this powerful search & discovery tool in minutes.
Tutorial updated March 2026