Overview
Naming discipline is one of the simplest ways to improve model quality and reporting clarity. When labels are inconsistent, teams lose time reconciling rows, fixing mappings, and explaining what should have been obvious.What good taxonomy should do
A good taxonomy should help you:- distinguish channels clearly
- separate meaningful campaign structures
- preserve interpretation across time
- support cleaner mapping and designation workflows
Best practices
- Keep channel names stable
- Use campaign names that reflect real strategic differences
- Avoid unnecessary renaming midstream
- Preserve a consistent hierarchy when possible
- Separate brand-search and affiliate logic when those distinctions matter
Why this matters in Provalytics
Taxonomy affects:- data layer mapping
- designation workflows
- campaign reporting clarity
- composite-layer stitching confidence
- interpretability of results over time