Our client wanted to cut down on PPC (pay per click) marketing costs to achieve higher returns with no additional costs. We were given free rein to solve this task.
During the design, we involved data scientists who helped us to come up with a machine learning algorithm. It is based on the dynamic use of the API used by the PPC platform and the analysis of the observed changes. The algorithm can determine correlations based on the target groups and the conversion rates – broken down into periods – now the result can be increased individually. Our client achieved a 35-40% higher return on marketing investments.