Amazon Rekognition is a deep learning-based image and video analysis service that can label objects, people, text, scenes, and activities. Amazon Rekognition makes it easy to add visual analysis features with easy to use APIs that don't require any machine learning expertise. Influencer marketing platforms using Rekognition have experienced more accurate search results and a significant decrease in the amount of time it takes to source influencers.

For influencer marketing platforms, quickly and accurately sourcing influencers is difficult when searching against millions of images across Facebook, YouTube, Instagram, Twitter, and LinkedIn. Searching based on text and hashtags can narrow the possibilities, but it only discovers influencers who consistently and accurately use them.

Influencer marketing platforms that use image recognition to label searchable content significantly increase search accuracy and enable users to source influencers within seconds. Image recognition technology analyzes and labels images with search criteria that isn’t available when depending on filtering just for text. For example, searching for an influencer who posts about fitness and running, but doesn’t include the words “fitness” or “running” in their posts (captions, comments, etc.), won’t appear in the search results. Integrating Amazon Rekognition into your influencer marketing platform guarantees that these type of posts won’t be lost in the search results.