Evaluating the causal impact of marketing activities is crucial for ensuring their relevance and cost-effectiveness, and thus successful steering of future marketing spendings. We conduct geo A/B tests and use Time Based Regression (TBR) and Causal Impact to examine if the marketing campaigns have significant and plausible effects. The presented deployed solution is running on Databricks using Aws and Airflow and is able to orchestrate and run the full procedure: from planning to designing to calculating the results of the tests.