Data Collection: First, gather all relevant email marketing data. This includes information on sends, opens, clicks, bounces, and conversions.
Data Modeling: Organize your data into tables. For example, you could have tables for subscribers, campaigns, and interactions.
Creating Measures: Use DAX to create measures that calculate key metrics like open rates, click-through rates, and conversion rates. For instance, you can use the
CALCULATE function to measure the open rate of a specific campaign.
Segmentation: Use the
FILTER function to segment your audience based on various criteria like location, age, or past behavior.
Reporting: Finally, create visualizations and reports in Power BI to present your findings. Use DAX measures to create dynamic and interactive dashboards.