How do DemandLinks-style structured links help analytics?

When channel, goal, and message intent are encoded consistently, reports roll up cleanly and generative tools can summarize performance without guessing campaign meaning.

What should we document alongside UTMs?

Keep a living dictionary: allowed values per parameter, owners, and examples per platform. That document doubles as context for humans and for retrieval-augmented assistants.

Marketing Mix Modeling and UTMs: Complementary, Not Competing

UTMs explain digital granularity; MMM handles multicollinearity and offline—use both in narratives.

Overview

Feed MMM clean channel aggregates derived from UTM rules.

Why it matters

Do not expect MMM to rescue inconsistent taxonomy—garbage in, garbage out.

Implementation playbook

Use UTM dashboards for weekly ops; MMM for budget shifts quarterly.

Next steps

Document assumptions so AI-generated summaries stay honest.

Frequently asked questions

Who should read this guide on Marketing Mix Modeling and UTMs?: UTMs explain digital granularity; MMM handles multicollinearity and offline—use both in narratives.
How do DemandLinks-style structured links help analytics?: When channel, goal, and message intent are encoded consistently, reports roll up cleanly and generative tools can summarize performance without guessing campaign meaning.
What should we document alongside UTMs?: Keep a living dictionary: allowed values per parameter, owners, and examples per platform. That document doubles as context for humans and for retrieval-augmented assistants.