According to a recent eConsultancy study, 73% of marketers find influencer identification a challenge and 84% vet influencers manually via social media research.
Mavrck and Ditto Labs are looking to fix that.
In a new partnership with Ditto Labs, Mavrck has announced enhancements to the platform’s brand relevance algorithms. With the help of computer vision analytics from Ditto Labs, Mavrck now enables brands to discover thousands of existing mobile app users, loyalty members, website visitors or fans that have relevant brand influence based on the photos they post on Facebook, Instagram, Twitter and Pinterest.
“Brands have thousands of influential customers posting about their products and positively impacting the purchase decisions of their friends daily,” said Lyle Stevens, CEO and co-founder, Mavrck. “Understanding the social influence and brand relevance of their existing customer base takes the guesswork out of influencer discovery. By ensuring only relevant micro-influencers are activated based on their proven engagement and the quality of branded content shared to their networks, our platform saves marketers time and money by automating the process at scale.”
Through the Ditto Labs partnership, the Mavrck platform now analyzes the photo content of an existing customer’s social posts to calculate relevant influence based on logo, object and scene recognition. Interested marketers can request a demo of the platform here.
In a world where UGC reigns supreme and 136,000 images are posted every 60 seconds on Facebook each day, the technological capacities gained from Mavrck’s partnership with Ditto Labs will further enable our platform to provide brands with the best tools in their micro-influencer toolkits.
About Ditto Labs
Ditto Labs is the leading provider of image recognition solutions for marketers. Savvy brands and agencies rely on Ditto’s photo analytics dashboard to discover insights, measure campaigns and engage audiences. Ditto’s API powers the world’s leading social intelligence platforms. Contact us at firstname.lastname@example.org.