Predictive Personalization Suite

Learn how to implement Product Recommendations, Predictive Content, and Dynamic Content to deliver a truly personalized experience to your customers.

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39 articles in this collection
Written by Support and Leigh Ann Gregoire
Product Recommendations

Recommendations Table of Contents

Learn more about the different ingredients, practices, and strategies for Listrak Recommendations.
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Updated over a week ago

Email Recommendations: JavaScript Integration

Learn more about installing the JavaScript Integration for Recommendations.
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Recommendations FAQ

Learn more about some of the technical requirements around Listrak's Recommendations solution.
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Recommender Basics: Building a Recipe

Learn more about the basics of building a recipe, such as choosing a strategy and the step by step process of recipe building.
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Recommender Basics: The Recipe Builder

Learn more about the basic structure of Listrak's Recipe Builder.
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Creating Product Recommendations Merchandise Blocks

Learn all about the features and design options of the Email Product Recommendations and Onsite Product Recommendations.
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Written by Leigh Ann Gregoire
Updated over a week ago

Adding and Updating Product Recommendations in Email

Learn how to add product recommendations to Composer or HTML emails and update these recommendations if you make changes to the design.
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Written by Leigh Ann Gregoire
Updated over a week ago

Product Recommendations Reporting

Learn about the types of reporting available for the Product Recommendations solution.
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Written by Leigh Ann Gregoire
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Recommender Glossary: Base Ingredients

Glossary of terms and definitions for Base Ingredients
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Recommender Suggested Strategies: Global Ingredients

Learn more about global ingredient suggested strategies when building out your recipes with Recommender.
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Recommender Glossary: General Ingredients

Learn more about the different types of general ingredients that are available with Listrak Recommender.
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Recommender Glossary: Pricing Ingredients

Learn more about the different types of pricing ingredients that are available with Listrak Recommender.
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Recommender Glossary: Personalized Ingredients

Learn more about the different types of personalized ingredients that are offered within Listrak Recommender.
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Creating Recipes Not Based on a Customer's Interaction

Learn more about which recommendations recipes don't require reference data.
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Recommender Suggested Strategies: Alert Suite

Learn more about recommendations strategy considerations for an Alerts Suite.
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Recommender Suggested Strategies: Browse Abandonment

Learn more about recommendations strategy considerations for a Browse Abandonment campaign.
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Recommender Suggested Strategies: Post Purchase

Learn more about recommendations strategy considerations for a Post Purchase campaign.
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Recommender Suggested Strategies: Recurring Automated Campaign

Learn more about recommendations strategy considerations for a Recurring Automated Campaign.
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Recommender Suggested Strategies: Shopping Cart Abandonment

Learn more about recommendations strategy considerations for Shopping Cart Abandonment.
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Recommender Suggested Strategies: Transactional Messages

Learn more about recommendations strategy considerations for a Transactional Message Campaign.
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Recommender Suggested Strategies: Welcome Series

Learn more about recommendations strategy considerations for a Welcome Series.
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Recommender Suggested Strategies: Ratings and Reviews

Learn more about recommendations strategy considerations for Ratings and Reviews.
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Recommender Suggested Strategies: Useful Recipe Strategies

Learn more about suggested Recommendation strategies that you can use in solution and marketing messages, or as an inspiration.
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Adding User Generated Content to Product Recommendations

Learn more about how to put UGC in your Product Recommendations.
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Recommender Advanced: Using Custom URL Variables with Recommendations

Learn more about how to append profile field information and other custom data to Recommender links to use data not natively available.
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Written by Support
Updated over a week ago