Digital marketers are using big data and predictive technology to more accurately pinpoint exactly who they should target. However, there are still a lot of wasted impressions being served to online users who will never convert. This Q&A reveiews a case study with a financial services company that realized success in using big data and predictive analytics to pinpoint exactly who NOT to target. Through an innovative targeting technique called Audience Filtering, this company was able to significantly improve conversion rates by avoiding users who were highly unlikely to convert, resulting in improved customer acquisition and business growth.
After you’ve watched the Q&A, visit our Predictive Audiences page to learn about more of our custom people-based audiences.