This article provides a detailed description of the Marketing data mart within the Daasity Data Model. This article will help you understand the purpose of each table and links to the source code.
Overview
The marketing data mart [dm_mkt] is designed to allow merchants to leverage our Unified Marketing Schema (UMS), Unified Order Schema (UTS) and Channel Attribution data mart to understand the marketing performance of different channels and Ad platforms using different attribution methodologies to make better decisions
Tables & Source Code
There are two core tables in the [dm_mkt] schema:
- [dm_mkt.fct_assisted_orders] - this table is a summary table that contains a record for each day, channel, vendor (marketing platform) and store. It is designed to aggregate all the non-last click touches that drove an order to help better understand marketing performance
- [dm_mkt.fct_vendor_level_performance] - this table is a summary table that contains a record for each day, channel, vendor (marketing platform) and store. It is designed to combine attributed sales and marketing spend from each of the different attribution types to easily enable a comparison of marketing performance metrics (ROAS, CPO, CPA, etc.). This table is optimized for reporting and is the source for the Marketing Attribution View
Users with access to our Customizable Business Logic feature can review our code in the following Github repository: