ROAS looks good, business loses money
You optimise campaigns on inflated conversions - budget goes the wrong way.
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.
You optimise campaigns on inflated conversions - budget goes the wrong way.
Number mismatches make reliable reporting and budget allocation impossible.
Double tag fires, no deduplication - data looks better than reality.
Missing purchase, wrong item_id, no transaction params - funnels based on incomplete data.
Dozens of tags without documentation - nobody knows what fires after a site change.
Data gaps after cookie rejection + GDPR risk - banner doesn't work with GA4.
Business goals, current problems, access to GA4, GTM, Google Ads and - if possible - backend/CRM data for comparison.
Deliverable: audit scope + verification checklistGA4 (events, parameters, streams, e-commerce), GTM (architecture, triggers, variables), Google Ads integrations, BigQuery link.
Deliverable: technical issues listDebugView, backend comparison, conversion funnel tests, duplicate/spam/cross-domain detection.
Deliverable: data quality reportResults presentation with priorities (critical / important / optimisation), effort estimates and optional implementation quote.
Deliverable: PDF report + meeting + roadmapEvents, parameters, enhanced measurement, data streams, conversions, user properties and GA4 e-commerce schema.
Container review, triggers, variables, naming conventions, duplicate tags, server-side readiness.
Duplicates, gaps, referral spam, cross-domain, self-referrals, GA4 vs backend/CRM comparison.
Google Ads link, conversion import, enhanced conversions, Consent Mode v2, remarketing audiences.
PDF document: issues ranked critical / important / optimisation, with business impact description.
Walkthrough of results, fix roadmap with effort estimates and optional implementation pricing.
Before ordering a full audit, you can pre-assess your GA4 setup or learn about common implementation mistakes.
Interactive GA4 implementation audit - configuration, events, e-commerce and common mistakes.
Run auditorCompare attribution models - understand how data errors affect channel value assignment.
Run simulatorEvents, parameters, reports and common pitfalls - knowledge that helps interpret audit results.
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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.
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.