Example Email Product Recommendations campaigns

This section lists examples of Email Product Recommendations strategy stacks to use in various types of email campaigns Personalization: Describes the rules for sending email that share a strategy and time frame while marketing a product or service..

BAU newsletter

Selection of personalized products for use in BAU Stands for "business as usual" newsletters:

• Abandoned basket products
• Recently viewed products
• Recommendations based on abandoned basket
• Popular products based on recent views
• Cross-sells from previous purchases and views
• Popular products based on previous purchases and views
• Best sellers by conversion When a website visitor takes a desired action. This desired action can be, for example, buying an item, filling in a form, or clicking a link. (last 90 days)
• Other merchandising strategies or Fallback product set

Welcome email

Selection of personalized products for use in Welcome emails:

• Cross-sells from previous purchases and views
• Popular products based on previous purchases and views
• Recently viewed products
• Newly discounted products from viewing history
• Abandoned basket products
• Recommendations based on abandoned basket
• Best sellers by revenue per product view (last 90 days)
• Other merchandising strategies or Fallback the default action if no criteria is met; without a fallback, no action occurs. product set

Abandoned basket

Selection of personalized recommended products for use in Abandoned Basket emails:

• Recommendations based on abandoned basket
• Cross-sells from previous purchases and views
• Popular co-purchased products Commerce: various forms of merchandise that you can display and purchase from the public site, including products, variations/SKUs, bundles, and packages. Also known as a catalog entry.
• Newly discounted products from viewing history
• Popular products from categories Categories let you adjust the structure and range of a catalog to optimize the selling potential of products. You can use categories to search for products. You can also assign products to categories by creating relations. related to previous purchases
• Recently viewed products
• Best sellers by conversion (last 90 days)

Order update/cross sell

Selection of personalized products for use in order updates or cross-sell emails sent to users who have purchased on the site:

• Cross-sells from previous purchases and views
• Popular co-purchased products
• Newly discounted products from viewing history
• Popular products based on previous purchases and views
• Co-purchased products based on previous purchases
• Popular products from categories related to previous purchases

Other campaigns and high-level strategy suggestions

• Marketing emails and newsletters
  • Weekly or monthly newsletters

    Show a selection of products to the customer A site visitor who has made a purchase on your website. based on the following strategies:

    • Abandoned basket products
    • Recently viewed products
    • Recommendations based on abandoned basket
    • Cross-sells from previous purchases and views
    • Popular products based on previous purchases and views

    If the customer is new to the site (that is, does not have enough behavior tracked by Optimizely), the customer is presented with best trending items on the site and best sellers based on crowd behavior.

  • Announcement emails
    • New arrivals. Similar to the strategies above but boosting products recently added to the site (use the hint Attributes that span products, such as products that fit into the same category, or products that were recently viewed; similar to expressions that work on specific product attributes. new-product).
    • Sale.
      • Presenting only items on sale
      • A selection of products that a customer viewed on the site and that since were discounted
      • Items on sale related to the customer’s browsing and purchasing behavior
      • Abandoned basket products
      • Recommendations based on abandoned basket.

      If the customer is new, the customer is presented with popular products on sale and best sellers on the site based on units, revenue, conversion When a website visitor takes a desired action. This desired action can be, for example, buying an item, filling in a form, or clicking a link. and revenue per product view.

  • Events/competition emails

    Show a selection of popular products from the customer’s favorite categories:

    • Popular co-purchased products
    • Abandoned basket products
    • Recommendations based on abandoned basket
    • Best trending products in the customer’s favorite categories

    If the customer is new, the customer is presented with best sellers and new products on site.

  • Loyalty/reward newsletters
    • Cross-sells to previously viewed and purchased products
    • Popular items from favorite categories
    • Abandoned basket products
    • Recommendations based on abandoned basket
    • Recently viewed products
    • Best sellers in favorite categories
• Transactional and system emails
  • Registration /account creation confirmation emails.
    • Cross-sells to previously viewed and purchased products
    • Popular items from viewed and purchased categories
    • Recently viewed products
    • Abandoned basket products
    • Newly discounted products from viewing history
    • Best trending products in favorite categories

    If the customer is new, the customer is presented with a mix of Best trending and Best selling items.

  • Order confirmation
    • Cross-sells to the purchased items
    • Popular co-purchased products
    • Recommendations based on abandoned basket
  • Order dispatched
    • Cross-sells to the purchased items
    • Popular co-purchased products
    • Recommendations based on abandoned basket
  • Abandoned basket/browse
    • Recommendations based on the abandoned products.
    • Customer’s previous buying and viewing behavior.