Product recommendations
Recommend the right things, at the right time, to the right people.
By Gareth and 2 others3 authors28 articles
Product recommendations overviewUse product recommendations to define which products appear in your campaigns.
Understand product recommendation typesLearn about different product recommendation types and how they fit into customer journeys and website placements.
Create a product recommendationCreate a product recommendation and configure filters, fallbacks, and previews.
Product recommendations in campaigns, pages, or formsLearn to add product recommendations to your campaigns, pages, and forms, and customise their layout and settings.
Add product bundles to product recommendationsBundled products work in product recommendations the same way as simple products, with a few key differences.
Hybrid prediction product recommendationsCombine data points from Best next and Lookalike recommendations.
Also bought product recommendationsAlso bought is a personalised recommendation that shows the most popular products contacts purchase alongside a particular item.
Best next predictive product recommendationsBest next uses collaborative filtering to recommend products to your customers based on shared purchasing behaviour.
Best sellers product recommendationsUse the Best sellers recommendation to highlight your most popular products based on order data from your Insight collection.
Most viewed product recommendationMost viewed is a product recommendation that identifies the most-viewed items in your catalogue's Insight data collection.
Custom category product recommendationUse filters to control which products appear in your recommendation.
Lookalike predictive product recommendationsLookalikes is a predictive recommendation type that uses a type of machine learning called content-based filtering.
Trending products recommendationTrending products is a hybrid recommendation, combining best sellers and most viewed.
Set up Variant handlingSo you don’t recommend the same product to your customers multiple times.
Set the default tax rate for a catalogIf your catalog prices don't include tax, you can set a custom default tax rate for each of your catalogs.
Set up catalog-level rulesControl which products can be displayed in recommendations by using catalog-level rules.
Use the Insight data checkerIdentify issues in your insight data.
Insight data dependencies for product recommendationsWhat insight data you need to sync to use each type of product recommendation.
Understand the weighting curve for product recommendationsTo handle situations where very old data skews results and less relevant products are recommended, we apply a weighting curve.
Change the unique product identifierSet how Dotdigital uniquely identifies products in your catalogue.
Onsite product recommendationsDisplay product recommendations on your website by injecting a hosted template and dynamic product data using Dotdigital's embed scripts.
Understand the affinity scoreWhat we mean by affinity score and what goes on behind the scenes to calculate it.
Recommend variants or parents in product recommendationsControl whether product recommendations show variant products or parent products.
New in store product recommendationShow your contacts the latest items added to your store.
Bought together product recommendationsUse cart data and order data to send Bought together product recommendations to your customers.
Copy or rename a product recommendationLearn to copy or rename your product recommendation.
Troubleshoot product recommendations in automated email campaignsDiagnose and fix empty or missing product recommendation blocks in automated email campaigns.
Set the default display currency for a catalogSet a default currency for each of your catalogs, for use with product recommendations and commerce blocks in your email campaigns.