Email Recommendations is an add-on for Apptus eSales 4 clients that provides personalised recommendations within emails to customers.
Email Recommendations includes several powerful features for customisation in an easy to use interface in the Apptus Email app.
- Create custom product display templates
- Define products to be included or excluded for each campaign
- Choose recommendation types per campaign
- Test and preview templates and campaigns with real data
- Smart image caching
- View campaign statistics
The Email Recommendations support four different types of recommendation algorithms:
Uses aggregated data from all visitor interactions and purchases, product event data such as stock levels, product information such as newness and the selected business exposure strategy to produce the most relevant products. Typically used with filters.
Uses the visitor's behavior from a retailer's site to generate personalised recommendations. Typical data points include products that visitor has viewed, clicked or purchased.
Uses a list of base products and aggregated data from all visitor activity from a retailers site to recommend products which are likely to be bought along with the base products. Typically used with filters.
Uses a list of base products that a visitor have marked as a favorite. Typically used with certain filters applied.