Overview
What data does Provalytics need?
At a minimum, Provalytics needs reliable inputs for marketing activity and the business outcome being modeled. Depending on the setup, that can include:- spend
- impressions
- clicks
- website activity
- conversions
- revenue
What is a data layer?
A data layer is the logical input layer Provalytics uses to connect source data to reporting and modeling.What is a composite layer?
A composite layer combines multiple source layers into one logical website or conversion layer. This is useful when a client has a historical source plus an ongoing source.Why do data naming conventions matter?
Because stable naming improves mapping, interpretation, QA, and reporting continuity.What does Connector QA do?
Connector QA helps confirm that the source totals being ingested look correct before teams rely on them in reporting or model work.What are the most common data issues?
The most common issues are:- missing days
- unexpected zeros
- stale files
- inconsistent naming
- hierarchy shifts