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Use product recommendations to define which products appear in your campaigns.

Product recommendations overview

Learn about different product recommendation types and how they fit into customer journeys and website placements.

Understand product recommendation types

Create a product recommendation and configure filters, fallbacks, and previews.

Create a product recommendation

Learn to add product recommendations to your campaigns, pages, and forms, and customise their layout and settings.

Product recommendations in campaigns, pages, or forms

Bundled products work in product recommendations the same way as simple products, with a few key differences.

Product bundles in product recommendations

Combine data points from Best next and Lookalike recommendations.

Hybrid prediction product recommendations

Also bought is a personalised recommendation that shows the most popular products contacts purchase alongside a particular item.

Also bought product recommendations

Best next uses collaborative filtering to recommend products to your customers based on shared purchasing behaviour.

Best next predictive product recommendations

Use the Best sellers recommendation to highlight your most popular products based on order data from your Insight collection.

Best sellers product recommendations

Most viewed is a product recommendation that identifies the most-viewed items in your catalogue's Insight data collection.

Most viewed product recommendation

Use filters to control which products appear in your recommendation.

Custom category product recommendation

Lookalike recommendations use content-based filtering to suggest products based on what's similar to what a contact has already browsed or bought.

Lookalike predictive product recommendations

Trending products is a hybrid recommendation, combining best sellers and most viewed.

Trending products recommendation

Avoid recommending the same product to your contacts multiple times.

Set up Variant handling

If your catalog prices don't include tax, you can set a custom default tax rate for each of your catalogs.

Set the default tax rate for a catalog

Control which products appear in your product recommendations.

Set up catalog-level rules

Use the Insight data checker

What insight data you need to sync to use each type of product recommendation.

Insight data dependencies for product recommendations

Product recommendations use a weighting curve to prevent old data from skewing results and surfacing less relevant products.

Weighting curve for product recommendations

Set how Dotdigital Marketing uniquely identifies products in your catalogue.

Change the unique product identifier

Display product recommendations on your website using Dotdigital Marketing's embed scripts.

Onsite product recommendations

What the affinity score is and how it's calculated.

About the affinity score

Control whether product recommendations show variant products or parent products.

Recommend variants or parents in product recommendations

Show your contacts the latest items added to your store.

New in store product recommendation

Use cart data and order data to send Bought together product recommendations to your contacts.

Bought together product recommendations

Copy or rename a product recommendation to keep your list organised and your naming consistent.

Copy or rename a product recommendation

Diagnose and fix empty or missing product recommendation blocks in automated email campaigns.

Troubleshoot product recommendations in automated email campaigns

Set a default currency for each of your catalogs, for use with product recommendations and commerce blocks in your email campaigns.

Set the default display currency for a catalog

Gareth Burroughes

Bartlomiej Rekosiewicz

Laura Russell

Recommend the right things, at the right time, to the right people.

Product recommendations

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