What is a marketing knowledge layer?
A marketing knowledge layer is a governed layer between your marketing data and the people and AI that use it. It holds everything a semantic layer does, plus business context, marketing know-how, past decisions and the rules for what AI can do. Every question runs through it, so answers are consistent, traceable and grounded in how your business works.
Marketing knowledge layer
- Actions
- Guardrails
- Memory
- Marketing know-how
- Business context
- Definitions
What it holds
Six parts, one source of meaning
- 01
Definitions
What a semantic layer holds: how ROAS, CAC and every other metric are calculated, and which fields mean cost on each platform.
- 02
Business context
Goals, targets, markets, naming conventions and budgets.
- 03
Marketing know-how
How channels, attribution and seasonality really behave.
- 04
Memory
Past tests, decisions and what came of them.
- 05
Guardrails
Permissions, PII rules and a full audit trail.
- 06
Actions
What agents can change, and what needs a person to sign off.
How it works
From question to traceable answer
- Step 1
Ask
Someone, or an agent, asks a question in plain language.
- Step 2
Ground
The knowledge layer applies your definitions, context, know-how, past decisions and rules.
- Step 3
Query
SQL is generated from those definitions and runs against your data.
- Step 4
Answer
The response cites the exact query, source and fields used.
- Step 5
Improve
Correct a definition once, and every answer that uses it updates.
How it compares
Knowledge layer, semantic layer, data warehouse
| Marketing knowledge layer | Semantic layer | Data warehouse | |
|---|---|---|---|
| Holds | Everything a semantic layer holds, plus business context, know-how, memory, guardrails and actions | Metric definitions | The data |
| Built for | People and AI working on marketing data | Consistent BI reporting | Storage and queries |
| Marketing know-how | Built in from the start | What you model yourself | None |
| Governs AI actions | Yes | No | No |
A marketing knowledge layer includes a semantic layer and builds on it. It works alongside your warehouse and any semantic layer you already have.
Why it matters now
AI answers you can act on
AI can answer marketing questions in seconds. The knowledge layer is what makes those answers ones you can act on: the same number finance uses, an answer that knows your goals, how each channel behaves and what you've already tried, and a clear trail behind every figure.
It's also what lets agents act, because you decide what they can change and everything is recorded.
Who it's for
One source of meaning for every team
CMOs and finance
One version of marketing performance for the board.
Marketing teams
Answers in plain language, on agreed definitions.
Analysts and data teams
Define a metric once and use it everywhere.
Agencies
The same governed answers for every client.
How Adverity Atlas builds it
Adverity Atlas is built on the only marketing knowledge layer made for enterprise marketing, built from $80 billion in enterprise ad spend. It starts with marketing know-how already in place, learns your definitions and context as you use it, and works on your warehouse data and direct connections. Your team can build agents on it and govern them centrally.
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Frequently asked questions
Is a marketing knowledge layer the same as a semantic layer?
No. A semantic layer holds metric definitions. A marketing knowledge layer includes them and adds business context, marketing know-how, memory, guardrails and governed actions.
Is a marketing knowledge layer an ontology?
It includes one. An ontology is a formal model of the business: campaigns, channels, markets, products and how they relate. A marketing knowledge layer combines that map with metric definitions and live business context.
Do I need a data warehouse?
We recommend one. Anything that ends up in a board pack should come from a governed warehouse with a marketing knowledge layer on top. Adverity Atlas works on the warehouse you already have, and direct connections fill gaps along the way.
How long does it take to set up?
Marketing know-how is built in from the start, so there's no pre-built data model or migration to finish first. Your own definitions and context are added as you go.
Can I use it with my own AI tools and agents?
Yes. Your team builds the agent, and the knowledge layer gives it the definitions, context and permissions to work on.
How do I know an answer is right?
Every answer cites the exact query, source system and fields used.