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Recommendations

Industry leading product recommendations that drive real results

Stand out with exceptional content and product recommendations that offer bespoke experiences at every step.

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2026 Leader for 8 consecutive times

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Personalization Engines Leader, 2019-2025

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Forrester Wave Leader, Q4 2024

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Delight your customers with recommendations they’ll love

Don't just take our word for it...

+4.2%

in ARPU from PDP recommendations

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+14%

in CTR from email recommendations

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+15%

in ARPU with recommendations

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+62%

in AOV from recommendations quizzes

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Predict your customer’s needs every time, without the lift

Cutting-edge algorithms that put your customers first

Deliver unrivaled accuracy and precision with algorithms like deep learning and reinforcement learning.

Gain deeper user demographics, preferences and real-time behavior that allows you to tailor every layout and experience like magic.

Key features

  • Access dozens of powerful strategies, from AffinityML to Geo-Based Predictive Targeting.
  • Use contextual data to drive more profitable recommendations.
  • Power your recommendations with CRM, loyalty and in-store purchase data.
Examples of different types of Dynamic Yield algorithms

Optimized for revenue impact

Customize everything, everywhere!

Every element of your strategy can be designed and tested in every location. You can even dynamically optimize based on customer attributes, traffic, geo, weather, device, and more.

Key features

  • Test and optimize any recommendation element.
  • Adapt layouts according to context and affinities.
  • Move fast with a robust collection of existing strategies, or create your own.
Example of the performance of two different types of product recommendations

Built for scale, designed to be tested

We do the heavy lifting so you can focus on delivering.

Dynamic Yield can fully ingest and handle large, complex feeds that span languages, currencies, and geographies, with millions of product and content SKUs, to power recommendations and user affinities.

Key features

  • Activate large and complex data feeds.
  • Save time with innovative built-in recommendation templates.
  • Deploy recommendations on both the client and server side, on any digital channel.
Example of how to build a recommendation experience quickly with Dynamic Yield

Blend Machine Learning with human curation

Dynamic Yield doesn’t just specialize in product recommendations.

Real-time filters enable you to dynamically adjust recommendations across product and content to reflect a customer’s preferences, affinities, and behavior in real-time.

Key features

  • Customize algorithms to serve unique business needs.
  • Everything happens in real-time with data at your fingertips.
  • Fuse together content and product recommendations in one place.
Example of how to customize a recommendation algorithm by specifying the return and margin amounts as well as the audience.

Recognized as a Leader in personalization. Built for how commerce happens next.

2026 Gartner Magic Quadrant for Personalization Engines

Eight consecutive times of recognition as a Leader in the Gartner® Magic Quadrant™ for Personalization Engines reflect sustained execution as personalization evolves toward more autonomous, agentic experiences.

Read the Gartner® report

And a whole lot more…

Predictive Targeting at Scale

Automatically discover which recommendation strategies should be applied per each audience based on predicted performance. More on Predictive Targeting.

Maximize Email Engagement

Email recommendations are rendered at open time to ensure algorithm calculations and product properties are always up-to-date. More on email personalization.

Advanced Testing

Leverage classic A/B tests, multi-armed bandit, affinity-allocation, or multi-touch campaigns to accelerate learning and performance impact.

Works Across All Channels

Insert recommendations anywhere – on websites, digital menu boards, native mobile apps, display banners, SMS messages, push notifications, and emails.

Fuse multiple strategies

Combine recommendation strategies into a single recommendation widget, or let our ML engine choose the right mix of strategies for you.

Connect offline to online

Create a seamless customer experience between offline and online and ensure customers do not see products recently purchased in-store while shopping online.

Built with MACH principles

Use ready-made recommendation APIs to create or supplement your own infrastructure and run them at scale. More on MACH Alliance.

Deploy on any CMS and stack

Built as an open-ended operating system with flexible architecture, Dynamic Yield is completely CMS agnostic and supports all carts.

Analyze, optimize, measure

Get a high-level performance view with drill-down recommendation reports for actionable insights and deep analytics.

Fast feed processing time

Make sure your rendered recommendations are always up-to-date when uploading or synching product feeds.

Fully autonomous and flexible

Modify recommendation strategies and react quickly to changing business needs with a no-code merchandising rule builder.

Ensure privacy and compliance

Keep your users and your customer data safe. See our GDPR and Data Privacy Resource Center for more information.

Why industry experts choose Dynamic Yield’s Recommendations

With Dynamic Yield, Sephora customers can seamlessly find the right products for their beauty needs. Personalisation is at the core of our eCommerce strategy and partnering with Dynamic Yield allows us to craft truly customised shopping experiences across all touch points.

Alexis Horowitz-Burdick Managing Director Sephora
Alexis Horowitz-Burdick

Featured resources

Product recommendations Course

Master product recommendation strategies, recommender systems, deep learning, merchandising rules, and personalization to drive conversions and revenue.
Learn more
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