Stackla adds a Co-Pilot to recommend which user content should be published

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The machine learning-based tool also suggests the best audience segments for engagement with that content.

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The good news about user-generated content (UGC) is that there’s so much to choose from.

And therein lies the rub.

This week, UGC platform Stackla has expanded its machine learning into a product to help deal with this flood of riches. CMO and co-founder Peter Cassidy told me the new Co-Pilot is the first UGC tool that predictively recommends whether specific content should be published or not, and which audience segments would best respond.

Previously, he said, the Stackla platform offered Content Intelligence, with visual recognition of images, plus sentiment and language analysis for accompanying metadata, captions and comments.

There was also Performance Insights, where user engagement — such as clicks, shares or steps toward a sale — were tracked. Plus, the platform tracked which audience segments responded best to that kind of content.

But now, he said, Co-Pilot adds the ability to watch the curating by the brand’s human’s reviewers, so it can learn what content types the brand likes. And these three components — Content Intelligence, Performance Insights and watching the monitors — are now integrated into a single algorithm.

[Read the full article on MarTech Today.]


About The Author

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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