Example Optimizely Email Product Recommendations campaigns
This section lists examples of Optimizely Email Product Recommendations strategy stacks for various email campaigns.
BAU newsletter
Selection of personalized products for use in BAU 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 (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 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
- Newly discounted products from viewing history
- Popular products from categories 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 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 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 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.