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 →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.
Setting the taxonomy standards and planning-system and ad-server architecture that determine whether the data pipes exist in the first place.
Designing the QA process and validation standards that confirm data is correct against source systems and media managers, not just trusted because it arrived.
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.
Connecting validated marketing data to actual sales leads and revenue, proving what's working, not just reporting what happened.
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.
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.
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.
The strategy and architecture are set directly, with direction given to the teams that build and maintain the systems.
Both. The approach has been built across paid media and earned and owned media, so it holds regardless of channel.
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.
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.