Instascreener provides brands with unbiased, third-party measurement of their influencer programs so they can eliminate waste and fraud, optimize spend, and maximize ROI.
Founded by Sean Spielberg (‘11CC, ‘16CBS) and Paige Pruitt, Instascreener helps marketers search for influencers, vet their performance and authenticity, and measure campaign results.
Influencer marketing is the fastest-growing form of advertising. But as with any new form of advertising, these early days seem like the wild west. With no standardization or oversight, advertising agencies often make up numbers to exaggerate their success, meaning brands have no idea how well their campaigns do. Fraud, like fake followers and click-farm comments, is rampant. All in all, brands are wasting millions of dollars on ineffective influencer campaigns.
Instascreener’s founders sensed a need for a company to set influencer marketing’s measurement standards, like Nielsen did with TV, and alert advertisers to fraud. Instascreener provides brands with unbiased, third-party measurement of their influencer programs so they can eliminate waste and fraud, optimize spend, and maximize ROI.
Using machine learning on vast quantities of social data–including 10+ million instagram posts–Instascreener accurately estimates crucial metrics like impressions, engagements, and CPM for any influencer or post. Instascreener sees how many real humans influencers reach, and detects when they buy fake followers.
Instacreener’s SaaS platform enables brands to pick the best influencers, measure their campaigns, and see how well their agencies are performing — all with objective data. Instascreener also offer an API so that the many influencer networks out there can differentiate themselves with third-party screening and measurement.