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Tracking Auditor is an automated audit tool for Google Analytics 4 and Google Tag Manager. It connects to your GA4 property and GTM container read-only, analyses the live setup against 30 days of real traffic data, and grades it A to F across five weighted dimensions: consent architecture, GTM governance, GA4 event quality, cookie classification and conversion integrity.
A typical audit surfaces the problems that break silently: tags firing before visitors accept cookies, duplicate configuration tags double-counting every session, purchase events recording twice and inflating revenue, key events with no working tag behind them, and legacy or test tags still live in production. Each finding is explained in plain English with its business impact and a prioritised fix plan, so the report is actionable for a marketing manager and specific enough for a developer.
Audits are region-aware: consent scoring adapts to the privacy regime that applies to the site, whether that is UK/EU opt-in rules or US state opt-out laws.
For agencies, every audit exports to a client-ready Google Doc report and a Google Sheet audit register, and the Agency plan white-labels both under your own name and logo. Run an audit for any client account you can access, deliver it as your own, and use re-audits to show the before and after of your work.
The first audit is free with no card required: connect your accounts, see your grade and where the problems are, and unlock the full report when you need it. A complete audit takes about two minutes.
Buffer Tracking AuditorBuffer is recommended for small to medium-sized businesses, digital marketers, social media managers, and individuals who need to manage multiple social media accounts. It's also well-suited for teams looking for collaboration tools to improve their social media marketing workflow.
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Tracking Auditor's answer:
It audits the whole tracking stack in one scored pass. Most tools check one layer: a tag scanner checks what fires, a consent tool checks the banner, GA4 add-ons check events. Tracking Auditor connects to GA4 and Google Tag Manager together, cross-references them against 30 days of real traffic data, and grades the setup A to F across five weighted dimensions: consent, GTM governance, GA4 event quality, cookies and conversion integrity. That cross-referencing catches the problems single-layer tools miss, like a key event with no working tag behind it, or a purchase event counted twice.
Tracking Auditor's answer:
The enterprise tools in this space (ObservePoint, TagInspector) start at hundreds to thousands per month and are built for compliance teams. Tracking Auditor produces a comparable audit in about two minutes for ยฃ120, or unlimited audits at ยฃ199 a month, and the output is built to be handed to a client: plain-English findings, a prioritised fix plan, and white-label Google Doc and Sheet exports. The first audit preview is free with no card, so you can see your grade before paying anything.
Tracking Auditor's answer:
Digital marketing agencies and consultants who audit client GA4 and GTM accounts, and in-house marketing or analytics teams who want an independent check on their own setup. Typical trigger moments: taking over a new client account, a site rebuild, a consent banner change, or numbers that stopped matching the order system.
Tracking Auditor's answer:
It came out of agency work. Auditing a client's GA4 and GTM setup by hand takes the better part of a day, the checklist lives in someone's head, and the same problems come up every time: tags firing before consent, duplicate tracking, conversions that quietly stopped recording. Tracking Auditor turns that manual process into a repeatable, scored audit so the finding-and-explaining part takes minutes and the time goes into fixing things instead.
Tracking Auditor's answer:
Next.js on Vercel, with the official Google Analytics and Tag Manager APIs for read-only data access, Anthropic's Claude for generating the written findings and fix plans, Postgres for audit history, and Stripe for billing.
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The concept is simple but technically ambitious. We are going to execute a strategy of "dogfooding" (eating our own food). Instead of using third-party tools like Buffer or Hootsuite, we will build a custom distribution engine using the very technologies we write about: Generative AI and CI/CD Pipelines. - Source: dev.to / 7 months ago
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