Most marketing reporting breaks before it reaches a dashboard. This is how you fix it, and prove what's actually working.
If your team can't confidently answer whether marketing is actually working, the problem usually isn't the marketing. It's the data infrastructure underneath it. The strategy and architecture get set for how marketing data is captured and validated, with direction given to the teams that build and maintain it, then connected to real revenue outcomes. You work directly with me on this, not a rotating analyst team.
FIND A TIME FOR A FREE CONSULT →Built around the three A's
Visibility strategy and impact measurement work as a loop, not a handoff. Earned & Owned Visibility gets you found and drives action; this is what proves it's working and feeds the next month's priorities.
Availability
Setting the taxonomy standards and planning-system and ad-server architecture that determine whether the data pipes exist in the first place.
Accuracy
Designing the QA process and validation standards that confirm data is correct against source systems and media managers, not just trusted because it arrived.
Accessibility
Making validated data available to the people and tools that need it, and increasingly, clean and secure enough for AI systems to use for decisioning too.
Impact Attribution
Connecting validated marketing data to actual sales leads and revenue, proving what's working, not just reporting what happened.
Built across channels
This approach has been built across both paid media, leading media operations for a major national advertiser at global agency scale, and earned and owned media, as COO of an AI-native marketing technology company. Most reporting specialists are deep in one channel and blind to the other. This approach holds regardless of channel.
Investment
Retainers for this work typically run from $2,000 to $20,000 per month, scoped around how much of the data infrastructure needs to be built versus cleaned up, and how often we meet to review what's working. Every engagement is priced around the actual need and the actual budget.
Frequently asked questions
What are the three A's?
Availability, the data pipes exist. Accuracy, the data is validated and correct. Accessibility, the right people and tools, increasingly including AI systems, can actually use it.
Do you build the reporting yourself?
The strategy and architecture are set directly, with direction given to the teams that build and maintain the systems.
Does this work for paid media, or just earned and owned?
Both. The approach has been built across paid media and earned and owned media, so it holds regardless of channel.
How does this connect to revenue?
The infrastructure isn't the end goal. It's built to connect validated marketing data to actual sales leads and revenue, so you know what's genuinely working.
How is this different from AI-Native Operations & Systems?
That service covers internal operating data, cost and margin. This one covers marketing data, proving what's driving revenue. Often, both feed the same leadership decisions.