Tracking that doesn't quietly rot:
every link checked, every gap flagged
A campaign launches clean and three weeks later half the links are missing a UTM, a pixel got removed in a site update, and nobody notices until the reports stop matching spend. An agent checks every live link and tracking tag on a schedule and flags drift the day it happens.
The process today
A campaign launches with a clean UTM scheme and a tested pixel, and from that point on the setup starts drifting without anyone deciding it should. A new team member builds a link by hand and misses a parameter. A site update swaps a page template and a conversion pixel quietly stops firing. A platform changes how it appends tracking and half the clicks arrive untagged. None of this looks like a problem until someone pulls a report and the numbers from the ad platform and the analytics tool stop agreeing.
Teams usually find this gap only when it has already cost them something: a month of spend attributed to “direct” traffic because the UTM broke, or a channel that looks dead in the dashboard because its pixel stopped firing after a redesign, when the channel was actually working the whole time. The real audit for an AI market-analysis app, run across Meta and Google Ads in four countries, built its unit-economics model only after auditing the funnel from session recordings, because the existing tracking data alone could not be trusted to tell the real story. A related pattern showed up in a sports-nutrition relaunch, where fixing tracking and the ad feed was a prerequisite step before the funnel rebuild could even be evaluated properly.
The cost compounds with scale. One broken UTM on one campaign is a rounding error. The same gap repeated across a dozen campaigns, three ad platforms and a growing team is the difference between a media buyer making decisions on real numbers and making decisions on noise, without knowing which is which.
What the agent does
The agent starts with a full audit of current UTM naming and pixel placement across every active channel, so the first output is a map of what is actually tagged versus what the team assumed was tagged. From there it runs scheduled checks, typically daily, against live campaign links and key page pixels: does the UTM parse into the expected source, medium and campaign fields, and is the conversion event still firing where it should.
When something breaks, a tag disappears, a UTM parameter goes missing, a link gets rebuilt without tracking, the agent sends an alert the same day with the exact link or page checked and what was expected, so a media buyer can fix it before a week of spend goes unattributed. It does not rewrite live campaign links itself; it flags, a human fixes.
The output includes a naming convention document the team can apply to new campaigns going forward, so the problem shrinks over time instead of just getting caught faster. Checks run against Google Ads, Meta Ads, TikTok Ads and GA4, with alerts routed to whichever channel, Slack, Telegram or email, the team already watches.
What stays with humans
Deciding the naming convention itself, and fixing any flagged link or pixel, stays a human decision every time. The agent checks and alerts; it never edits a live campaign.
Guards
The checker runs a dry run against 2-4 weeks of past campaigns before go-live, so the team can confirm it catches real breaks without false alarms on their specific setup. Checks are read-only against ad platforms, well under any rate limit, every alert logs the exact check performed, and a kill switch pauses the schedule without losing the audit history.
Price and timeline
| Option | Price | What it covers | Timeline |
|---|---|---|---|
| Single automation | from $450 | One ad account and one analytics setup checked on a schedule | 3 to 5 days |
| Department package | from $2,500 | Tracking hygiene plus review mining plus landing page copy variants for one marketing team | 2 to 4 weeks |
Running cost is usually $20 to $60 a month in model usage depending on how many campaigns and pages are checked, with a budget cap set before launch.
Related
Tracking hygiene is the groundwork for anything that depends on clean attribution, which makes it a natural pair with review mining for insights and landing page copy variants, since both need trustworthy traffic data to measure against. See automation everything and AI agents for the broader agent stack this fits into. The funnel audit behind this approach is detailed in trading app funnel audit and unit economics, and the relaunch that followed a tracking fix is in sports nutrition sales x2.7.
If your reports and your ad platform numbers have stopped agreeing, get in touch and we will audit the gap first.
Tired of doing this by hand? We can take the whole routine off your team, not just this step: Routine takeover, from $400 →
FAQ
How much does UTM and tracking hygiene automation cost?
From $450 for one ad account and one analytics setup with a fixed naming convention, live in 3 to 5 days. Multi-account, multi-platform setups with pixel checks across several sites usually run $1,200 to $2,500.
How long before it is live?
3 to 5 days once we have access to your ad accounts, analytics and a naming convention agreed with your team. Most of that time goes into the initial audit, since most accounts have years of inconsistent tagging to map first.
Which tools does it connect to?
Google Ads, Meta Ads, TikTok Ads and Google Analytics or GA4 on the input side, plus your site's tag manager for pixel checks. Alerts go to Slack, Telegram or email, whichever your team already watches.
What happens if the agent flags something that is not actually broken?
Every alert includes the exact link or tag it checked and what it expected to find, so a human can confirm or dismiss in seconds. The agent never edits a live campaign link itself, it only flags for a human to fix.
Is our ad account data safe?
The agent only reads campaign link structure and pixel presence, it does not touch ad spend or account settings, and every check is logged so you can see exactly what was looked at and when.