Relevant product or content recommendations
Easily create, test, and manage automated recommendations for online promotions such as cross-sell or upsell.
- Visitor data drives recommendations — no server-side or offline integration required.
- Interacts directly with your site's presentation layer.
- Automatically "learns" about content catalog from online visits — no API or catalog integration required.
- Includes products and content to support recommendations for articles or blog posts.
- Marketers can start, stop, and modify recommendations — no IT support required.
- You can run different recommendation types on different pages; for example, show top sellers on your home page and cross-sells on a product page.
Configurable algorithms and presentation templates
Gain a high level of control over recommendations algorithms, with the ability to tweak settings and modify layout.
- Choose from a variety of popularity and affinity algorithms to suit your business needs based on the viewing, searching, and buying activity of previous visitors or shoppers.
- Benefit from algorithms that include most viewed, top sellers, Adobe site affinity algorithm, and recommendations based on Adobe SiteSearch™ queries.
- Use metrics from Adobe SiteCatalyst® and Adobe DataWarehouse™ to power recommendations.
- Change the algorithms to include only visitor data from the last day, week, month, or longer.
- Import algorithms to third-party applications to show recommendations beyond your website.
Integration with the Adobe Marketing Cloud
Extend the value of online recommendations by using them in conjunction with other Adobe products, and leverage across marketing channels using integration services from Adobe Consulting Services.
- Integrate with Adobe Test&Target™ to run sophisticated tests on your recommendations and target them to different visitor groups.
- Integrate with Adobe SiteSearch on your search results pages.
- Integrate with third-party vendors — such as email application providers — with Adobe Genesis™ to deliver recommendations via email.
Built-in testing and reporting
Help ensure that you are getting the most out of your recommendations, continually optimizing them by changing the algorithm controls and template design.
- Test recommendations against default content or products to monitor conversion performance metrics.
- View visits, clicks, and purchases with conversion lift data via the built-in reporting interface.
- Analyze reports to change business rules or to determine winning promotions.