AI-Based Product Recommendations Engine - Dynamic Yield
2026-02-28 18:35 Diff

Recommendations

Industry leading product recommendations
that drive real results

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

2026 Leader for 8 consecutive times

Personalization Engines Leader, 2019-2025

Forrester Wave Leader,
Q4 2024

Recommendation

Industry leading product recommendations
that drive real results

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

2026 Leader for 8 consecutive times

Personalization Engines Leader, 2019-2025

Forrester Wave Leader,
Q4 2024

Revolutionize your digital customer experience. Discover Experience OS.

You acknowledge and agree that your personal data will be processed by Dynamic Yield as described in the Privacy Notice. By clicking the button, you confirm that you have read and agree to the Terms of Use.

Delight your customers with recommendations they’ll love 🧡

Don’t just take our word for it....

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

Algorithms

Performance

Agility

Control

Algorithms

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

Explore items in your available loyalty points range

REFRESH ITEMS

300 points

Geo-Based Predictive Spend

Performance

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

Variation A performed better with new users!

Winner

Agility

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

Next >

Out of the Box Template!

Control

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

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

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

Forrester has recognized Dynamic Yield by Mastercard as a “Leader” among 11 top vendors in the market in its evaluation of Experience Optimization Solutions.

Read the Forrester report

Need Inspiration?

Look no further.

See how our customers are taking their personalization
content and product recommendations to the next level.

Drive more revenue from your recommendations

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.

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.

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.

Experience recommendation use cases on your own site

Enter your website URL below for a live sneak peek of 15 innovative product recommendation use cases, rendered on your own site.

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

Better together

Featured resources

Course

Product Recommendations Course

A deep dive of recommender systems and their use in surfacing relevant products throughout the sales funnel, including best practices. Start the course →
Article

An Overview Of Dynamic Yield’s Essential Recommendation Capabilities

Take a look at an overview of the current recommendation capabilities available from the most powerful recommendation engine in the market. Read the article →
Lesson

The Rise Of Deep Learning Recommender Systems

Learn how deep learning is being adapted for the delivery of product recommendations that enhance the customer experience and generate meaningful revenue. Read the lesson →
Article

The Most Overlooked Aspects Of Product Recommendations

Is it possible to power recommendations at scale with machine learning algorithms alone or should contextual data play a role? Founder, Liad Agmon, answers. Read the article →
Article

Two Decades In The Making — The Powerful Strategies Behind The Amazon Recommendation Engine

Take a page from Amazon's book and leverage winning strategies for your own personalization efforts Read the article →
Case study

GlassesUSA.com deploys a deep learning algorithm to adapt its recommendations to each shopper

Learn how the leading eyewear retailer utilized deep learning recommendations and achieved an 88% increases in average revenue per user. Read the case study →
Lesson

The Gold Standard For Recommendations: An APMEX Case Study

Director of Digital Analytics breaks down silos how recommendations can surface relevant products for every type of buyer persona. Read the lesson →
Article

Getting Started With Product Recommendations Testing And Personalization

How to select the right primary audiences, test locations, algorithms, and optimization opportunities. Read the article →
Talk

From 0 To 100 With Personalization – A Story Of Hypergrowth With On Running

How product recommendations have played a powerful role in On Running’s hyper-growth, with insight into how the company is currently leveraging them. Watch the talk →
Lesson

Impactful Techniques To Help You Ace Your Product Recommendations

A guide to effectively deploy product recommendations featuring strategies, best practices, and real-life examples from leading global brands. Read the lesson →
Case study

Build With Ferguson Takes A Customer-Centric Approach To Product Recommendations

Online home improvement retailer's focus on customer behavior boosted purchases completed from recommendations by 89%. Read the case study →
Lesson

An Introduction to Affinity-Based Recommendations

Learn how to leverage user affinity data to make more effective personalized recommendations at scale. Read the lesson →
Case study

Pet Place Grooms The Shopping Experience For Animal Lovers

Biggest pet food retailer in the Netherlands sees 15% increase in revenue from personalized product recommendations. Read the case study →
Case study

Catch Co. Hooks Users With Tailored Content Recommendations

Leading fishing equipment retailer uses content recommendations to further educate its customers and drive conversions. Read the case study →
Article

Maximize Revenue With Dynamic Yield’s Deep Learning Recommendation System

Improve product discovery and generate higher sales and revenue by predicting the items an individual is most likely to engage with, even from the first session. Read the article →
Article

Introducing: Recommendations Testing

As recommendations drive a significant percentage of business revenue, continuous testing and optimization of recommendation widgets for optimal results is a necessity. Read the blog →
Article

Using In-Store Purchase Data To Enhance The Online Shopping Experience

Discover how you can merge offline and online data to create a 360-degree view of the customer and predict the next best product or content for visitors. Read the article →
Lesson

Applying Merchandising Rules To Product Recommendations

Using merchandising rules, marketers can adapt product recommendations strategies to their desired objectives, tapping their expertise to improve consumer experiences. Read the article →
Article

Bring Your Own Logic Into Experience OS

Leverage your own in-house expertise alongside Dynamic Yield’s advanced recommendation and personalization capabilities. Read the article →
Lesson

Client-Side Vs Server-Side A/B Testing And Personalization

An in-depth analysis of the most important technical considerations when comparing client-side vs server-side rendering. Read the lesson →