GA4 audit. Check if your data tells the truth - before you spend another ad budget on wrong numbers.

GA4 Audit Diagnosis and recommendations

I verify whether your GA4 data tells the truth - and what to do about it

ROAS in GA4 looks great, but the business is losing money. Conversions don't match CRM. GTM has 80 tags and nobody knows what they do. Most companies make budget decisions based on analytics data - but is that data reliable? I verify GA4 implementation, GTM, e-commerce and ad integrations. Outcome: a prioritised report, fix plan and cost estimates.

Does this sound familiar?

ROAS looks good, business loses money

You optimise campaigns on inflated conversions - budget goes the wrong way.

GA4 ≠ CRM / backend

Number mismatches make reliable reporting and budget allocation impossible.

Duplicate events and inflated numbers

Double tag fires, no deduplication - data looks better than reality.

Incomplete e-commerce

Missing purchase, wrong item_id, no transaction params - funnels based on incomplete data.

GTM chaos

Dozens of tags without documentation - nobody knows what fires after a site change.

Consent Mode not working

Data gaps after cookie rejection + GDPR risk - banner doesn't work with GA4.

How the audit works - 4 steps

  1. 01

    Briefing and access

    Business goals, current problems, access to GA4, GTM, Google Ads and - if possible - backend/CRM data for comparison.

    Deliverable: audit scope + verification checklist
  2. 02

    Technical audit

    GA4 (events, parameters, streams, e-commerce), GTM (architecture, triggers, variables), Google Ads integrations, BigQuery link.

    Deliverable: technical issues list
  3. 03

    Data quality verification

    DebugView, backend comparison, conversion funnel tests, duplicate/spam/cross-domain detection.

    Deliverable: data quality report
  4. 04

    Report, walkthrough, fix plan

    Results presentation with priorities (critical / important / optimisation), effort estimates and optional implementation quote.

    Deliverable: PDF report + meeting + roadmap

Offer - what you get

GA4 implementation audit

Events, parameters, enhanced measurement, data streams, conversions, user properties and GA4 e-commerce schema.

Events Conversions E-commerce

GTM and tagging architecture

Container review, triggers, variables, naming conventions, duplicate tags, server-side readiness.

GTM Tags sGTM ready

Data quality and consistency

Duplicates, gaps, referral spam, cross-domain, self-referrals, GA4 vs backend/CRM comparison.

Duplicates Cross-domain Consistency

Ad integrations

Google Ads link, conversion import, enhanced conversions, Consent Mode v2, remarketing audiences.

Google Ads Consent Mode Conversions

Prioritised report

PDF document: issues ranked critical / important / optimisation, with business impact description.

Critical Important Optimisation

Implementation plan and quote

Walkthrough of results, fix roadmap with effort estimates and optional implementation pricing.

Roadmap Estimate Meeting
  • Who it's for: ecommerce, lead gen, SaaS - companies investing in advertising that want confidence they're optimising on reliable data.
  • Model: basic audit (GA4), extended (GA4 + GTM + integrations) or audit + implementation of recommendations - depending on findings and budget.
  • Outcome: you know what to fix first, what it costs and how it will improve decision quality - no guesswork.

Free tools - start on your own

Before ordering a full audit, you can pre-assess your GA4 setup or learn about common implementation mistakes.

Krzysztof Surowiecki

Krzysztof Surowiecki. I've conducted hundreds of analytics audits - in GA4, GTM and Google Ads integrations. I know where to find GA4 vs backend mismatches, how to detect duplicate events and which errors actually break budget decisions.

  • End-to-end audit: GA4 + GTM + e-commerce + ad integrations - not just "clicking through reports".
  • Report with priorities (critical / important / optimisation) and effort estimates for fixes.
  • After the audit I can implement recommendations - one person from diagnosis to production.

Trust - why clients choose me for analytics

20+years experience
150+projects
50+clients
7expert tools
  • Single point of contact: I don't hand off your project between teams - you work directly with me.
  • Consulting approach: an audit without implementation recommendations is half the value - you get a plan with priorities and costs.
  • Confidentiality and security: NDA and working standards suited to data-sensitive organizations.

Contact - let's take the first step

Tell me about data mismatches, conversion problems and ad spend. In a consultation I'll assess whether an audit makes sense and propose scope matched to your budget.

  • Discussion of analytics goals, stack (GA4, GTM, Ads) and current challenges.
  • Variant recommendation: basic, extended or audit + implementation.
  • Pricing proposal, timeline and next steps after the audit.