In early October we released FindTuner version 2.4. There are quite a few new features including more precise targeting of merchandising actions, LDAP and Active Directory integration, and increased usability particularly in the area of rule testing. I'd like to highlight these in this post.
Nearly every release of FindTuner has features that are focused on increasing the merchandisers ability to define precise conditions that will cause merchandising actions to be carried out. In our view, more precision means more ability for the merchandiser to create personalized shopping experiences for the consumer.
At a high-level, FindTuner enables merchandising rules to be triggered by keyword, navigation, context and result count. In this release we've added a number of options including the ability to trigger if a keyword does or does not exist, a facet has or has not been utilized, and the ability to detect if the user has navigated more than one level. There are also several other variations in the way these can be utilized.
For example, let's say that the shopper performs a search for refrigerators and navigates to the appliances section of the site. Under this condition we want to display a promotional banner indicating appliances are on sale, however if the user continues to navigate (i.e. clicks another facet within the appliances department) then we do not want to continue to display the promotional banner as this is likely a signal that they did not respond to the promotion. The figure below provides a view of what the trigger setup might look like:
Several of our customers have a large number of rules which makes rule management an important feature. FindTuner has always had the ability to organize rules by a tag or multiple tags, and rules can be located using built-in search capabilities. In this release we have revamped the tag management system making it easier to maintain tags as well as more efficiently apply them to rules.
Additionally, rule search has been enhanced to allow searching over all attributes of a rule which includes its data. For example, I can locate any rule that might be promoting a specific product or products.
FindTuner has an internal security system that enables establishing users and assigning them to roles within the system. This system works well however we recognize the fact that most enterprises have existing security repositories. As such, we now support authentication and authorization to LDAP or Active Directory.
Finally, FindTuner now can deliver a wealth of information about how rules behave when executed and how they interact together when multiple rules are triggered based on the shopper's behavior. This feature is a particularly important aspect of the testing process as it gives the merchandiser visibility to confirm merchandising strategies. For example, FindTuner clearly communicates which rules caused the products at the top of the search results to be promoted.
For more information on FindTuner please visit findtuner.com.