Advertiser test data generator for media mix training and testing
The purpose is to create near realistic data for marketing effectiveness measurement. Then use the artificially generated data to apply various modeling technique to test how different assumptions can affect modeling areas such as:
- attribution
- meadia mix model
- marketing response modeling
The Test Data:
- contains:
- customer journey level data for a marketing attribution modeling
- aggregate data that is normally needed in a marketing mix model