Increasing Click-Through-Rates Of Marketing Campaigns

The Problem

Banks spend millions of dollars on digital advertising every year. Marketers needs to continuously optimize their strategies to ensure effectiveness of their campaigns. A higher Click-through rate (CTR) is one metric advertisers use to quantify effectiveness of their ads. How can banks increase the effectiveness of their marketing campaigns and achieve a higher CTR.

Solution

Machine Learning models deployed on Kranium can be used to effectively predict the possibility of a click based on various parameters including user attributes, contextual relevance and more. This helps banks send the right content at the right time to their customers, thereby increasing the CTR and reducing cost per engagement. Also, marketers can determine best ad placements based on the content on a page in real time.

In addition, marketing teams can use analytics to gain better insight and awareness for higher conversions and better engagements.