GA4 says one number. Your CRM says another. Nobody’s sure which campaigns actually drove revenue, or if “conversions” even means what you think it means. We audit your tracking, attribution, and reporting so the numbers you’re making decisions on are actually true.
TRUSTED BY GROWTH-STAGE COMPANIES
THE DATA TRUST PROBLEM
You can’t make good decisions on numbers you secretly don’t believe.
GA4 says one traffic number, your CRM says another, and paid platforms report their own version of “conversions”: nobody's sure which one to actually trust.
Organic traffic is up. Whether it's actually driving pipeline or revenue is a different question, and most setups can't answer it.
Broken goals, missing events, and expired tags mean months of decisions have been made on incomplete data, and nobody noticed until now.
Once the numbers have been wrong once, every report afterward gets questioned, whether or not the same problem is still there.
of GA4 implementations have at least one significant tracking error
turnaround for a full analytics and attribution audit
data accuracy achievable after a full tracking cleanup
average reduction in cross-platform reporting discrepancies
Most analytics reviews stop at confirming the tracking code is present. We test whether what it’s actually measuring matches what you think it’s measuring, because a dashboard full of wrong numbers is worse than no dashboard at all.
Every metric traced back to what it's actually counting, not just whether it's firing
Cross-platform discrepancies investigated until we know the real reason, not just flagged
Attribution modelling assessed against how your business actually sells, not a default setting
A report you can actually hand to leadership and trust
Bad data hides in more places than a broken tracking tag. We check every layer between “someone visits your site” and “leadership sees a number.”
DIAGNOSTIC LAYER 01
We test your GA4 (or equivalent) setup against real user behaviour, not just whether the tag is installed, to catch broken events, misfired goals, and silent tracking gaps.
DIAGNOSTIC LAYER 02
We investigate discrepancies between GA4, your CRM, ad platforms, and any other reporting source until we know the actual cause, not just that they disagree.
DIAGNOSTIC LAYER 03
Default attribution settings rarely match how your business actually sells. We assess whether your current model over- or under-credits the channels that matter.
DIAGNOSTIC LAYER 04
Misconfigured goals and events are one of the most common sources of bad decision-making. We audit what’s actually being counted as a conversion, and whether it should be.
DIAGNOSTIC LAYER 05
We assess whether your dashboards and reports present data in a way that’s accurate, clear, and defensible in a boardroom, not just technically correct.
DIAGNOSTIC LAYER 06
Everything above rolls into one roadmap, sequenced by which fixes restore the most reporting accuracy fastest, so you’re not waiting months to trust your dashboard again.
If your only concern is whether your numbers are accurate, this is the right starting point. Here’s how it compares to our flagship diagnostic.
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B2B SaaS · Series A
reduction in cross-platform reporting discrepancies, 2 months, B2B SaaS company
FinTech · Series A
data accuracy achieved post-audit, across clients
LegalTech · Series A
previously untracked revenue-driving channels correctly attributed, 6 weeks, ecommerce brand
Installed and accurate aren't the same thing. Most GA4 implementations we review have at least one meaningful tracking error, often invisible unless someone specifically tests for it.
Both. We diagnose what's wrong and provide a specific recommendation for a model that matches how your business actually sells, with implementation guidance.
The audit itself is diagnosis and a prioritised roadmap. Implementation of fixes can be scoped separately, or handed to your existing team with clear specifications.
An independent audit has no incentive to overlook problems that reflect on prior work, including your own team's or agency's original setup. That independence tends to surface things a self-review misses.
Typically 2–3 weeks for the audit itself, with fixes implementable shortly after, though some attribution changes need a few weeks of new data to fully validate.
Based on how many platforms and data sources are involved. You'll get a clear number before anything starts.
AUDIT & INTELLIGENCE FLAGSHIP
The complete diagnostic, including analytics and attribution alongside every other SEO dimension.
CORE SEO PILLAR 01
For building a roadmap once you can actually trust the data behind it.
AI & FUTURE SEARCH PILLAR 02
For benchmarking performance once your own numbers are reliable.
One call. No pitch deck. Just a straight answer on what’s broken in your tracking and reporting.
Book a free strategy call. No commitment, no pitch deck.