01 · Data cleanup
Marketing data cleanup for agencies
The short answer
The reporting you send clients is wrong, and you do not know it. Not badly wrong — wrong in the way that survives a glance and gets caught three months later by a client asking a reasonable question.
We reconcile marketing data across every ad platform and the CRM, so the numbers agree before anything is built on top of them. Starts with a two-week audit from $3,000.
Fixed price from $3,000 · two weeks
Automation inherits the error and scales it
Most agencies discover their data does not reconcile at the worst possible moment: after automating something on top of it. The manual process was quietly absorbing the problem — someone senior noticed the figure looked wrong and fixed it before the report went out. Automate that step and the correction disappears while the error does not.
This is why data integrity is one of the four things the audit measures, and why it usually has to be dealt with before reporting automation is worth building. Reporting wrong numbers faster is not an improvement.
What the work looks like
Find where the systems disagree. The same metric pulled from two places, compared. Most agencies have never done this systematically and are surprised by at least one result.
Separate errors from legitimate differences.Attribution windows and time zones make platforms disagree for good reasons. Knowing which gaps are expected is what stops your team re-investigating the same discrepancy monthly.
Fix the intake, not just the records. A cleanup that does not change how bad data gets in is a cleanup you will repeat next quarter.
Make it hold. Reconciliation that runs on a schedule and tells someone when it fails, rather than degrading quietly.
What the numbers have looked like
96.1% of data discrepancies resolved across a client’s reporting stack.
$115,000 in hidden pricing variance surfaced for Supply Logic in a single operations audit.
Over $40,000 a year in software and staffing replaced by a single system.
Who this is not for
- Anyone who needs a list deduplicated or formats standardised at volume. That is per-record work and an offshore vendor will do it for a fraction of this.
- Agencies with a single platform and one source of truth. If nothing can disagree, nothing needs reconciling.
- Teams looking for a tool to buy. This is a diagnosis and a build, not a licence.
Where to start
The two-week operations audit includes a data integrity assessment across your platforms and CRM, for a fixed $3,000. It tells you whether you have a cleanup problem, an intake problem, or neither — before anyone quotes you for fixing it. Once the data reconciles,reporting automation is worth building on top of it.
02 · FAQ
Common questions
How would we know our reporting data is wrong?
The usual tells: the same metric differs depending on which system you pull it from, month-end involves someone manually correcting figures before a report goes out, or a client has queried a number and nobody could confidently explain it. If any of those are familiar, the data is not reconciling — and every automation built on top of it will inherit the error and scale it.
What does marketing data cleanup cost for an agency?
Engagements start with a fixed-price AI operations audit from $3,000, delivered in two weeks, which includes a data integrity assessment across your ad platforms and CRM. Remediation work that follows is scoped to how many accounts and platforms are involved, and is quoted individually rather than priced per record.
How is this different from offshore data cleansing services?
Offshore data cleansing prices per record and optimises for volume — deduplicating lists, standardising formats, filling gaps. That is a different job. This is about why two systems report different numbers for the same campaign, which is a question about how your platforms and processes disagree, not about the records themselves. If your problem is genuinely a messy list, a per-record vendor will be far cheaper.
Is this a one-off cleanup or something ongoing?
Both exist and they solve different problems. A one-off pass fixes the current state; it does not stop the same errors reappearing next month, because the cause is usually a process that lets bad data in. The durable version fixes the intake — required fields, validation, reconciliation that runs on a schedule — so the cleanup does not have to be repeated. The audit tells you which one you need.
Which platforms do you reconcile across?
The ad platforms an agency actually runs — Meta, Google, LinkedIn, TikTok and the rest — plus analytics and whatever CRM the agency or its clients use. The technical work is rarely the hard part. The hard part is deciding which source is authoritative for which metric, which is a judgement call about your business rather than a configuration setting.
What if the numbers disagree because the platforms genuinely count differently?
Often they do, and that is the most useful thing an audit surfaces. Attribution windows, view-through counting and time zones make platforms disagree legitimately. The answer is not to force them to match — it is to know which differences are expected and which are errors, and to have the report say so, so your team stops re-investigating the same discrepancy every month.
Send your clients numbers you can actually defend.
Start with the auditTwo weeks. Fixed price from $3,000. You keep the strategy either way.