Service
AI marketing audit
We review media accounts, tracking and reporting for agencies and brands that need a defensible next decision. We map where AI can help and where experienced judgment is still required, then provide a prioritized plan in a defined scope of hours.
The work behind the service.
An audit is useful when someone can act on it. We organize findings around the decision they affect, the evidence behind them and the dependency required to fix them. A long list of settings is not a strategy. We distinguish a broken signal from an opportunity so the urgent work does not get buried in recommendations.
We rebuild important numbers from their inputs. A projection needs a budget, a rate, a period and a definition of success that agree with one another. When a reported zero comes from an event that was never measured, it is not evidence that demand failed. The audit checks the underlying record before interpreting the slide above it.
The AI readiness map follows the same logic. We ask which routines are repetitive, where the inputs are reliable and how an output would be checked. We also record what should stay human or should not be automated at all. The result is a practical sequence, not a requirement to install tools across every discipline.
What's included.
- account audits (Google
- Meta
- LinkedIn)
- tracking audit
- reporting review
- AI readiness map
- prioritized action plan
How it works.
- 01
Choose the decisions to resolve
We agree on the accounts, reporting periods and questions the audit must answer. Access and available evidence are confirmed. We scope in hours so the review has a clear boundary and a useful end point.
- 02
Inspect source records
We read account settings, event tables and the reports used by the team. We trace the important numbers back to their inputs. Missing measurement is recorded explicitly rather than presented as a performance result.
- 03
Assess media and data together
We examine structure, conversion goals and the relationship between platform delivery and business outcomes. We separate tracking defects from buying decisions. This avoids recommending more spend to solve a measurement failure.
- 04
Map practical AI use
We identify bounded routines that can use reliable inputs and produce checkable outputs. We note permissions, review requirements and data constraints. Work needing judgment remains assigned to people.
- 05
Deliver a prioritized action plan
We provide findings with evidence, ownership and an implementation sequence. Dependencies are visible so your team can act in the right order. We discuss which fixes we can deliver and which belong with your existing team.
Proof from the work.
In four Quebec engagements, rebuilding the inputs exposed inflated delivery, an unrealistic results model and conversion events that did not measure the intended action. One retargeting estimate overstated delivery by 400,000 impressions. Our article documents the checks and the corrections rather than relying on a headline claim.
- Dans la rue: a results model rebuilt from scratch, four defects found
- Read how we rebuild a number from its inputs
How we price it.
We bill hourly and set the scope in hours. Strategy and advisory are CAD $175/h. Media management and execution are CAD $110/h. We separate those kinds of work in the estimate so you can see what is being bought, rather than hiding them inside a percentage of spend.
We agree on the deliverables, dependencies and review points before starting. If new work appears, we discuss the hours before expanding the scope. Engineering builds, hosting, software subscriptions, creative production and advertising budgets are identified separately where relevant. We confirm the applicable engineering rate in the scope rather than assigning a media rate to a technical build.
You can engage one discipline without buying the others. A tracking correction does not require ongoing media work, and a media engagement does not require a website rebuild. We recommend a sequence only when the evidence shows a dependency. The estimate makes that relationship visible, so your team can decide what to do now and what can wait.
We also agree on how progress will be reviewed and how hours will be reported. Your team should be able to connect the time used to the work delivered. When an access issue or an approval blocks delivery, we explain the dependency rather than letting it disappear inside an open-ended engagement.
Questions before we start.
What does the audit cover?
It covers the agreed media accounts, tracking, reporting and practical AI readiness. Google, Meta and LinkedIn can be included where they are relevant to the scope. The deliverable ties findings to decisions and implementation dependencies.
How long does it take?
We estimate the hours after confirming account count, access and the questions to answer. A focused audit and a multi-system review are different engagements. We agree on the schedule before starting rather than promising a universal turnaround.
What do we get at the end?
A prioritized plan supported by source evidence, with the key defects and opportunities separated. We identify who can act, what access is needed and what should happen first. The AI map explains what can be automated responsibly and what should remain human.
Can you implement the fixes?
Yes, implementation can be scoped after the review. You can also hand the plan to your own team. We do not make the audit useful only if you buy every follow-on discipline from us.
Related services.
Notes from the work.
Start a conversation.
Tell us what you are trying to move. We will tell you which disciplines are worth engaging, and which are not.