Shareaholic’s proprietary recommendation technology utilizes a mix of data inputs, loads of data science and multiple delivery algorithms to match readers with personalized content recommendations they want to see.
Our proprietary window into user interests across the web, including viewing habits, sharing activity, level of influence, intent, topics of interest, brands of interest, etc enables us to deliver more personalized and relevant ad and content matches. Shareaholic’s proprietary data set includes data on over 400 million unique visitors each month across the web.