Connect your store and grow your marketing around your customers.
By Gareth and 1 other2 authors49 articles
Which abandoned carts implementation do you need?Make sure you're set up for success.
Abandoned cart implementation – an overview for marketeersAbandoned cart services and what to expect after you purchase the functionality.
Abandoned carts questionnaire guideBefore you can install the new abandoned cart functionality on your own site, we require you to fill out a questionnaire.
Using abandoned cartMonitor abandoned carts and start sending abandoned cart emails.
Set up abandoned cartsGet started with abandoned carts, and test your implementation.
Understand how our abandoned cart model worksTurn your abandoned carts into sales.
Abandoned cart JSON breakdown
Abandoned carts - link to cart URL
Create an abandoned cart emailAn abandoned cart email is a triggered campaign displaying the latest contents of a customer's cart.
Create an abandoned cart programAutomatically send your abandoned cart emails.
Set the abandoned cart conversion windowThe conversion window is the time after your customer creates and abandons a cart where their cart is most likely to be recovered.
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.
Product recommendations overviewPromote the right products to your contacts.
Using the product recommendations builderSend 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.
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 product recommendationsTrending 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.
Using product data enrichmentFind, extract, and classify extra information about your products.
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.
Understanding the affinity scoreWhat we mean by affinity score and what goes on behind the scenes to calculate it.
Insight data overviewInsight data is storable information related to your contacts purchasing histories and habits.
Import insight dataBulk upload essential data, such as your orders and product catalogs.
View, edit, or delete a scheduled data importYou can view all scheduled data imports set up on your account to view the status of, check the history of, edit, or delete an import.
The non-developers' guide to Insight dataWhat Insight data is and how you can make use of it.
Using Insight data for segmentationOur Insight data gives you a powerful tool to target and engage your customers based on their purchasing history and habits.
AccountInsightAccountInsight allows you to store data against your account rather than against individual contacts.
Product and category insight dataHow it's synced from your store to Dotdigital.