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Deploy AI-Driven Product Recommendations That Move Inventory and Shoppers

Create revenue-boosting customer experiences with individualized product recommendations.

Talk to a product recommendation expert

Deploy AI-Driven Product Recommendations That Move Inventory and Shoppers

Deliver Well-Timed Product Recommendations That Put More in the Cart

Monetate’s product recommendation engine provides a combination of scalability alongside best-in-class algorithms. This allows you to:

  • Deploy adaptive recommendations based on everything you know (or will learn) about each customer.
  • Quickly boost and bury SKUs based on product attributes, like profit margin, price, and more.
  • Create curated product collections through slot-level control within product recommendations.

It’s All Smooth Sailing for Musto + Product Recommendations

UX & Test Manager Matt Bloska describes how easy it is to use Monetate Product Recommendations to ensure that Musto’s customers are getting the right outdoor gear.

Make Omnichannel Recommendations

People love our product recommendations due to their contextual relevance and cross-channel capabilities.

Push recommendations across all your channels. We mean everywhere:

  • In-store kiosks
  • Online (on PDPs, PLPs, etc.)
  • Via email
  • On shopping apps
  • In the call center

Merchandize Without ConstraintsMan looking at smartphone with chart

Our product recommendations provide users with the perfect combination of merchandising control with machine-driven automation and optimization.

Serve Recommendations Based On User Signals

Infuse recommendation algorithms with historical data, third-party insights & real-time visitor behavior. More customer context means more precise recommendations, and higher conversions.

Gain Greater Control With Dynamic Filters

Further fine-tune your recommendation strategies with dynamic visitor history filters by feeding in suggested products based on behavioral data like product purchases.

Mix & Match With No Limits With Slotting

Slotting enables slot-level control within product feeds, enabling you to mix, match, and sequence individual algorithms for ultimate control.

Maximize Revenue With World-Class Algorithms

Use one of our many algorithms such as: (1) Top selling by purchase count, (2) GeoTarget, (3) Recently viewed products, or (4) upload your own!

Helly Hansen Saw 28% Increase in RPS in Men’s Section of Site With Slotted Recommendations

Given Helly Hansen’s worldwide appeal, both its Norwegian and U.S. eCommerce teams wanted to create new strategies for more dynamic, personalized experiences that their former platforms couldn’t provide.

Read Customer Story

“Using Monetate, we’ve seen big improvements in homepage performance and can easily see which experiences are relevant for each customer.”

MATTIE BLEVENS

eCommerce Merchandising Manager

Read Case Study

Helly Hansen logo with green curved background

Easy To Use. Easy To A/B Test & Scale

Shoppers expect accurate product recommendations that speak to them.

Take out the guesswork—test and experiment to figure out which product recommendations work, and why.

Leverage robust audience analytics dashboards to learn from your recommendations and fine-tune your customer experience.

 

 

 

 

Product Recommendations: Part of a Merchandising, Testing, and Personalization Platform

Product recommendation tools are the most customer-facing part of our enterprise personalization platform. Some more capabilities include:

Personalized Search Personalization Platform

Our Recommendation? Let’s Create Better Customer Experiences

Deliver well-timed product recommendations to drive higher AOV and revenue.