Click360 Product Updates: January 2020

We’re off to a great start of the year and hope you are as well. It’s been a busy month for product updates so we’re incorporating several weekly releases into this post!

Here are the new feature highlights:

First and foremost, we added “Custom Audiences” which allow customers to combine Click360’s learned segmentation and pattern discover (derived using Deep Learning and Unsupervised learning) with other traits that they know about their customers. Customers can now filter visitors and/or known leads by criteria and automatically target them with ads, emails, or other tactical methods. This is a really big deal for our digital marketing agency and ad agency partners as they can add their own domain knowledge to the AI-derived insights to produce better results.

  • The “Custom Audiences” support the use case that we can target just 30% of visitors without losing any revenue, effectively multiplying ad budgets and reducing content.
  • “Custom Audiences” combined with the end-to-end results also support the ability to grid search parameters to find ideally performing audiences that are not usually apparent to humans–and to track how those experiments turn out over time.
  • “Custom Audiences” allow easier self-service integration with their source systems (e.g., push into Salesforce, Marketo, or Google Analytics) and can be completed directly in the UI

We added self-learned location clusters, which can be used in custom audiences and reports the same way that any other attribute cane

We finalized and deployed version 1.0 our title classification service which allows free-form text to be classified into a group type for reports, filtering, and audiences. E.g., “Regional account executive for government services” will not properly be classified as “Sales” for reporting

We added individual salespeople as attributes for reporting and filtering, so we can now see what kinds of leads salespeople get, their estimated likelihood to close, and their geographic and behavioral attributes.

We expanded our tracking of Googlebot (and other indexers) so that we now see how long indexers are on a page, as well as every mouse movement, change, and other page updates, similar to our other tracking. A small technical change, but it lets us further understand Googlebot’s interests and provide that data and corresponding insights to digital marketing agencies.

There are many, many more changes beyond these highlights–we will also push out separate emails with those updates and will add a more detailed look at the custom audiences.

Please let us know what you think, and if you have additional product suggestions!