Linqia unveils ‘first’ platform for predicting influencer engagement

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Linqia is out this week with a new version of its platform that it says offers the first predictive analysis of influencers’ performance.

Based in San Francisco, the company has been offering performance-based influencer marketing since 2012, where brands pay by clicks, likes, shares and other performance metrics for influencer campaigns on blogs, Facebook, Instagram, Pinterest, YouTube, and Twitter.

Previously, VP of Product Jonathan Pollack told me, Linqia employed machine learning for various kinds of classification, such as summarizing influencers’ posts, estimating brand affinity, recognizing images and analyzing sentiment. This provided the kind of classification that other influencer platforms offer, he said, such as Amplero or Dovetale.

[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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