ContentSquare adds AI to become a ‘fully automated’ provider of experience insights

New Auto-Zone algorithm automatically categorizes and learns components in a site, removing the need to configure new elements via a dashboard.

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ContentSquare makes its living by recording what users do on a website and then distilling it into insights, for such clients as Walmart, Tiffany and Unilever.

Today, the Paris-based firm is adding a new AI recognition algorithm that automatically learns about a site, turning the company into what it calls “a fully automated” provider of digital experience insights.

ContentSquare’s platform is used to determine, for instance, why users sign up in a form field less often when a buy button for a new product is added to the same page.

To acquire the user data, the Paris-based firm adds to the site’s header a tag which captures data from every page. When new elements like a form field are added to the page, the client would then have to configure the new page using ContentSquare’s dashboard.

CMO Efrat Ravid compared this approach to some tag management firms’, where new elements sometimes mean more tags as well as configuration. AI-based analytics has then been used by ContentSquare to deliver insights, such as whether the buy button was a factor in the lower sign-ups.

The company is today launching a new AI-based recognition algorithm called Auto-Zone that does away with the need to configure a page in the dashboard, when new page elements like another image or a different button have been added. Here’s a screen showing one level of Auto-Zone’s auto-configuration:

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Auto-Zone automatically categorizes and learns the whole site with what the company said is a “semantic understanding” of the site’s components, recognizing when new assets have been added. It also helps track how each element behaves, such as providing an alert if a call to action on the page is generating an unusually high number of clicks.

When a new “add-to-cart” button has been added to a page, for example, Auto-Zone automatically recognizes it and tracks the accompanying behavior. If users appear to hesitate frequently before clicking the new button, Auto-Zone also points out the behavior and makes a recommendation, such as adding a new sale as an incentive.

With Auto-Zone, Ravid said, “you normally don’t need to use the dashboard.”

It’s “the same insights,” she added, “but [with] no effort.”


Opinions expressed in this article are those of the guest author and not necessarily MarTech. Staff authors are listed here.


About the author

Barry Levine
Contributor
Barry Levine covers marketing technology for Third Door Media. Previously, he covered this space as a Senior Writer for VentureBeat, and he has written about these and other tech subjects for such publications as CMSWire and NewsFactor. He founded and led the web site/unit at PBS station Thirteen/WNET; worked as an online Senior Producer/writer for Viacom; created a successful interactive game, PLAY IT BY EAR: The First CD Game; founded and led an independent film showcase, CENTER SCREEN, based at Harvard and M.I.T.; and served over five years as a consultant to the M.I.T. Media Lab. You can find him at LinkedIn, and on Twitter at xBarryLevine.

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