Don't Be Fooled by Data: How to Make Data Analysis in Mobile Marketing Plain and Simple

Analyzing mobile marketing campaign data is a complex process. It is necessary to collect data and use metrics for feedback in order to form or change strategy. There are a variety of solutions for data analytics, including tracking platforms like AppsFlyer, Adjust, and Google Analytics. Relevance, seasonality, and context are important for correct analysis.

Metrics are qualitative or quantitative indicators of success. Product metrics include DAU, WAU, MAU, revenue, retention rate, and churn rate. Marketing metrics include CPM, CPI, CTR, IR, ER, CPA, CR, and ROAS. It is important to define the goal of the analysis and gather all the data needed, including benchmarks and data from the relevant sources.

Good-quality, relevant data is essential to successful marketing analytics. Poor data handling can lead to wasted time and money. It is important to understand metrics and choose the right data for analysis in order to make the right decisions.