Reliable measurement for growth
Implement and validate GA4, Google Tag Manager, Meta Pixel + CAPI, Google Ads conversions, enhanced conversions, and meaningful event architecture.
Brands seeing platform discrepancies, duplicate or missing events, weak purchase values, unexplained reporting gaps, or upcoming paid-media scaling.
Common symptoms
Every platform reports differently. The goal is not identical numbers—it is a technically sound event flow, documented definitions, and differences you can explain.
Important product, cart, checkout, purchase, lead, or booking actions are not captured.
Browser and server events, multiple plugins, or imported goals count the same outcome more than once.
Revenue, currency, transaction IDs, or item data is missing or mapped incorrectly.
Pixel events lack matching data, deduplication, parameters, or coverage across the real customer journey.
Theme scripts, plugins, GTM, platform apps, and hard-coded tags overlap.
Changes go live without test events, debug checks, documentation, or monitoring.
Business impact
Ad platforms learn from conversion data. Poor data can misdirect bidding, hide funnel problems, and reduce confidence in budgeting and optimization.
A documented view of what each platform measures and why differences occur.
Fewer missing, duplicated, malformed, or inconsistent conversions.
Better signals for Meta and Google bidding systems without claiming perfect attribution.
Deliverables
Implementation is platform-specific and may include browser-side and server-side components.
Business events, platform destinations, parameters, consent dependencies, source of truth, naming, and acceptance criteria.
GA4, GTM, Meta Pixel, Conversions API, Google Ads conversions, enhanced conversions, and ecommerce data-layer mapping where appropriate.
DebugView, Tag Assistant, Test Events, event IDs, transaction IDs, value/currency checks, browser/server coverage, and error review.
Event map, container notes, credentials ownership, change log, validation evidence, and maintenance guidance.
Process
The exact workplan is tailored to the account, but the quality-control sequence stays consistent.
Review the current setup, data quality, economics, constraints, and goals.
Define structure, priorities, success indicators, and implementation requirements.
Build or repair the agreed system with documented naming and ownership.
Test events, journeys, edge cases, reporting, and customer-facing behaviour.
Use evidence to optimize the highest-impact variables and next actions.
Platforms and tools
The architecture is designed to avoid duplicate implementations and preserve a clear owner for each event source.
GA4 · Google Tag Manager · Google Ads · Meta Events Manager · Meta Pixel · Conversions API · Shopify · WooCommerce · Server-side GTM
Expected improvement
No specific result is guaranteed. The purpose is to create a stronger operating foundation and improve the signals that matter for your business.
Cleaner events and documented definitions make discrepancies easier to interpret.
Ads systems receive more complete and consistent data for optimization and attribution.
A documented architecture reduces the time needed to find broken tags, parameters, or integrations.
FAQ
Practical answers before choosing the scope.
No. Platforms use different identity, attribution, modelling, time zones, and reporting rules. A good setup explains the differences rather than promising identical numbers.
Yes, when the business case, platform, consent requirements, and maintenance capacity justify it.
Yes. The audit identifies what is correct, duplicated, missing, or unsafe before recommending changes.
Yes, where possible. I review ownership and current tags before changing anything, document revisions, and avoid parallel duplicate installations.
Start with the bottleneck
Share your website, current setup, and main challenge. I will review the information and recommend the narrowest useful next step.