We built Linqia Performance Platform to analyze billions of data points across five years of performance-guaranteed campaigns and use those insights to predict how influencers will perform against a brand’s specific goals.
San Francisco, CA (PRWEB)
July 25, 2017
Linqia, a leader in performance content marketing technology, today announced the release of Linqia Performance Platform, a new platform built to transform influencer marketing from a public relations tactic into a scalable media channel.
Influencer marketing has traditionally been viewed as a way for communications professionals to increase awareness and drive engagement around a brand, which is why 78% of marketers cite determining ROI as their top influencer marketing challenge this year.
Linqia Performance Platform uses machine learning to analyze influencer content, determine brand affinity, and identify patterns that can predict an influencer’s success based on the brand’s goals. As a result, Linqia customers can rely on a self-learning platform that makes influencer marketing at scale effective and brand-safe for the first time. In initial programs run through the platform, Linqia drove 51% more engagement over the course of four flights through its AI-driven insights and optimizations compared to single flight campaigns.
“Many platforms today claim to use AI. And while this may be true, it’s important to understand how that AI is being applied,” says Jonathan Pollack, Linqia’s VP of Product. “At Linqia, we use AI for more than simple data processing or categorizing an influencers ‘personality type.’ We built Linqia Performance Platform to analyze billions of data points across five years of performance-guaranteed campaigns and use those insights to predict how influencers will perform against a brand’s specific goals.”
“The scale and complexity of this problem is the biggest problem that’s ever been solved in the media landscape,” said Nader Alizadeh, co-founder and CEO for Linqia. “There are 2 billion monthly active users on Facebook, 700 million on Instagram, 328 million on Twitter, 255 million on Snapchat and millions of blogs. Every touchpoint is a potential authentic impression for a brand. The only way to approach this ecosystem is to treat it as a big data…