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Commerce

Connect your store and grow your marketing around your customers.


Understand Web behavior trackingCollect data based on your contacts' browsing behavior.
Install Web behavior trackingBegin passing Webinsight data in to your Dotdigital account.
Use Web behavior tracking for segmentationWeb behavior tracking gives you a powerful tool to target and engage your customers based on their browsing behaviour and activity.
Use Web behavior tracking to increase your salesTarget contacts with relevant product recommendations, offers, and testimonials to encourage them to convert interests into purchases.
Use Web behavior tracking to increase webform completionIdentify contacts who have visited and browsed webform pages on your site but haven't signed up.
Use Web behavior tracking to increase website downloadsIdentify contacts who have visited and browsed download pages on your site but haven't committed to a download.
Use abandoned browseThe product a contact last browsed is identified in Dotdigital with our extended web behavior tracking script.
Add the Dotdigital Tag to your websiteSeamlessly integrate Dotdigital scripts with your site.
Create an abandoned browse programEncourage your contacts to buy products by sending them a triggered campaign when they leave specific pages on your website.
Create an abandoned browse emailAn abandoned browse email is a triggered campaign showing the latest products the customer browsed, but not added to the cart or purchased.
Crate an abandoned browse SMSSend your contacts an abandoned browse SMS to remind them about the products they viewed but didn’t buy.

Product recommendations overviewPromote the right products to your contacts.
Using product recommendationsSend your customers the right recommendations at the right time.
Create a product recommendationUse in email campaigns, pages, or on your website.
Product recommendations in campaigns, pages, or formsInsert and customise product recommendations in your email campaigns, pages, and forms.
Using product bundles in product recommendationsBundled products are customizable, build-your-own products in your ecommerce store.
Recommend variants or parents in product recommendationsRecommend parent products or set up custom rules to handle variants in your product recommendations.
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 people who bought a particular item also bought.
Best next predictive product recommendationsBest next uses a type of machine learning called collaborative filtering to find lookalike shoppers.
New in store product recommendationShow your contacts the latest items added to your store.
Best sellers product recommendationsCalculates the best selling products in your catalog Insight data collection.
Most viewed product recommendationCalculates the most viewed products in your catalog Insight data collection.
Custom category product recommendationDefine filters to display desired products.
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 rulesAvoid duplicating rules for each of your product 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 product unique identifierYour products have a unique product identifier which we use to differentiate between them, and to link to any associated order data.
Onsite product recommendationsShow product recommendations on your website by embedding our scripts.
Understand the affinity scoreWhat we mean by affinity score and what goes on behind the scenes to calculate it.
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.