We integrated multiple data sources, including transactional data, marketing spend data, and product analytics, into a centralized system. This allowed for comprehensive data collection, ensuring that all relevant information was available for analysis. We implemented ETL processes using tools like Fivetran to automate data collection and storage in the client’s database, enabling seamless data flow.

To make the data actionable, we built a Business Intelligence (BI) layer using Looker Studio. This layer comprised intuitive and visually appealing dashboards that amalgamated data from the modeling and aggregation components. These dashboards provided real-time insights into key performance indicators, allowing the Marketing team to monitor campaign success, track customer behavior, and make informed decisions quickly.

We created a powerful modeling component that employed advanced statistical techniques to predict the future LTV, identify potential areas for improvement, and optimize marketing strategies. The model was designed to adapt over time, recalculating predictions as new data became available. We also incorporated specific models for predicting short-term behaviors, such as trial-to-paid conversion, and long-term outcomes, like retention rates.