Winston-Salem, NC, Oct. 22, 2018 (GLOBE NEWSWIRE) -- Collective Bias, Inc., the leader in shopper-focused influencer marketing, and an Inmar company, is the first to reveal actual results in using AI-based selection technology versus human selection only. Using FitScore™, its influencer selection tool driven by artificial intelligence (AI), Collective Bias is showing significant improvement in performance. FitScore leverages proprietary technology, merged with more than a decade of engagement intelligence to automate and optimize the influencer selection process. The result is a curated list of recommended blogger and/or Instagram influencers who are projected to deliver the best performance based upon campaign objectives and product set.
FitScore is based on predictive modeling that forecasts how an influencer will contribute to a specific campaign. The technology, available for free for current customers, makes recommendations by leveraging advanced classification algorithm combined with Natural Language Processing (NLP), historical performance, specifically on posts related to the campaign topic and audience for each specific influencer.
Recent tests of the technology have yielded impressive performance increases for influencer campaigns. Within the same campaign, Fitscore selected influencers received higher post engagements, more content views, and higher earned media values than control-group (conventional, non-AI assisted methodology in selection). More specifically:
- Compared to manually selected influencers, Top FitScore selected influencers achieve 3.4X more content views
- Compared to manually selected influencers, Top FitScore selected influencers achieve 1.45X more earned media
- Compared to manually selected influencers, Top FitScore selected influencers achieve 36 percent more engagements with their content
“FitScore is the next generation of influencer selection that empowers marketers to understand exactly how well an influencer, and their audience, align with the brand, a specific campaign and performance expectations,” said Ali Mirian, SVP, Product at Collective Bias, an Inmar influencer marketing company. “The approach gives marketers the perfect mix of flexibility and control. With FitScore, a marketer can get granular, diving deep into the specifics of a particular influencer, or oversee the campaign from a 10,000-foot view. This new capability matched with Collective Bias’ Brand Safety Guarantee provides a risk-free opportunity for brand marketers to explore, test and reap the benefits of a robust influencer marketing program, delivering a risk-free opportunity for brand marketers to explore, test and reap the benefits of a robust influencer marketing program initiative.”
To learn more about FitScore and Collective Bias’ prescriptiveIQ platform, please visit: https://collectivebias.com/blog/2018/10/fitscore-using-ai-results/
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About Collective Bias and Inmar
At the forefront of influencer marketing and measurement, Collective Bias' proprietary data and technology enables influencer selection and management, resulting in campaigns that drive true engagement and impact sales for leading brands across multiple verticals. Collective Bias was named one of Forbes' "Most Promising Companies" three years in a row and listed in the "Inc. 5000." Social Fabric® is Collective Bias' hand-selected community of over 10,000+ shopping-focused influencers with an aggregate multi-channel reach in excess of 80 million.
Collective Bias is a wholly-owned subsidiary of Inmar, Inc. Anyone who has redeemed a coupon, filled a prescription or returned a product, has touched Inmar. We apply technology and data science to improve outcomes for consumers and those who serve them. As a trusted intermediary for over 35 years, Inmar has unmatched access to billions of consumer and business transactions in real time. Our analytics, platforms and services enable engagement with shoppers and patients, and optimize results. Together Collective Bias and Inmar are set to measure influencer marketing’s impact along the entire purchase funnel.
For more information, please visit Collectivebias.com or find us on Facebook or Twitter.