Use Cases

Making Paid Ads Effective with Item Page Recommendations

Applicable Segment(s):

Fashion & Apparel, Supermarket, Department Store, Food & Grocery, B2B, Specialty

Impacted Function(s):

Marketing, Commerce

Solution:

Recommend™

The Company

An American retail and outdoor recreation services corporation.

The Challenge

The company wanted to reduce the bounce rate in instances where a shopper clicks on a paid ad and is directed to a PDP.
A shopper might bounce when the product on the PDP isn’t exactly what they were looking for.

The Approach

The retailer showed shoppers more product options on the item page without requiring them to scroll down the page.
They did so by setting up a placement that appears at the top of the item page.
They set rules to show similar items based on the item displayed in the ad.

Found Use Cases Relevant to Your Business? Let's Talk.

The ROI of Algorithmic Retail Solutions

Learn how our customers improved key business metrics with our made-for-retail solutions.

Case Studies

Blue Tomato Leverages Algonomy’s AI-powered Recommendation Engine

The European retailer uses Recommend™ to get 3x revenue from orders with recommendations and increase average basket value by 20%.

Case Studies

Época Cosmeticos Pivots to Individualized Shopper Experiences, Improves SEO with Personalized Search

The Brazilian beauty retailer uses Recommend™, Find™, and Engage™ to increase conversions by 4%, AOV by 55%, and get 3x engagement.

Use Cases

Making Paid Ads Effective with Item Page Recommendations

Applicable Segment(s):

Impacted Function(s):

Solution:

Table of contents

The Company

The Challenge

The Approach

Found Use Cases Relevant to Your Business? Let's Talk.

The ROI of Algorithmic Retail Solutions

Case Studies

Blue Tomato Leverages Algonomy’s AI-powered Recommendation Engine

Case Studies

Época Cosmeticos Pivots to Individualized Shopper Experiences, Improves SEO with Personalized Search

Webinar

Why most social proof is hurting your conversions and how to fix it.

Services

Resources

Guides

Dynamic Content Personalization: How Active Content Brings Dynamism into Your Campaigns

Case Study

Personalizing Beauty at Scale: How Matas Grew Attributable Sales by 36% with Personalized Recommendations

Company

Company

Services

Resources

Guides

Dynamic Content Personalization: How Active Content Brings Dynamism into Your Campaigns

Case Study

Personalizing Beauty at Scale: How Matas Grew Attributable Sales by 36% with Personalized Recommendations

Commerce Unlocked #7

One Stack for Retail AI: From transactional planning to agentic intelligence built natively on Databricks.

One Stack for Retail AI:
From transactional planning to agentic intelligence built natively on Databricks.