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Almost every GA4 property reports something. The question is whether those figures survive scrutiny – whether a purchase is counted once or three times, whether the traffic labelled direct is really direct, and whether the conversions your bidding depends on are the ones you think they are.
GA4 will happily collect data whether or not anyone decided what it should measure. The result is the familiar situation – a property full of events nobody defined, conversions that do not match the invoices, and a monthly report nobody quite believes.
The work is deciding what the business actually needs to know, configuring GA4 to answer exactly that, then proving the numbers are right before anyone makes a decision on them.
This sits alongside CRO, which changes the site and tests the result. Measurement comes first – you cannot test what you cannot count. The broader picture is on CRO and data analytics.
The right order is business question first, then the metric that answers it, then the event that produces the metric. Reversed – which is how most properties are built – you end up with events nobody can connect to a decision.
Most implementations get the bottom two right and the top three wrong, because scroll depth is easy to configure and revenue attribution is not. The difficult ones are the only ones that change a budget decision.
Very few businesses need a property built from nothing. Far more have one that was set up quickly two years ago and has drifted since – which is a different and usually cheaper piece of work.
The last one is what stops this becoming a dependency. An undocumented implementation is unusable the moment the person who understood it leaves – so every event we create is written down in plain language, with what it means and where it fires.
Nearly every complaint that GA4 is wrong traces back to one of these differences. The numbers did not break – they are measuring something genuinely different, and comparing them directly to historical Universal Analytics figures produces conclusions that are simply false.
GA4 will also never match your ad platforms, and it is not supposed to. Google Ads counts a conversion against the click date and its own attribution window; GA4 counts it against the session. Two different questions, two different correct answers.
Tracking that fires in preview mode and fails in production is the normal failure. These checks exist because every one of them has caught a real problem that would otherwise have shipped.
The first check is the one to insist on with any consultant. If nobody has compared GA4 revenue against your actual orders, nothing built on that data can be trusted – including the automated bidding in your ad accounts.
Attribution assigns credit for a sale across the touchpoints that preceded it. No model is correct – each is a different assumption about how influence works. The useful discipline is knowing which assumption you are making and what it systematically over-rewards.
The practical approach is to pick one model for consistent reporting, then check the others before making a large budget decision. A channel that looks poor on last click and strong on first click is doing real work you are about to defund.
GA4 out of the box offers hundreds of reports, which is why most teams look at none of them. What works is a single page answering the handful of questions the business actually asks, with everything else available when someone needs to dig.
Each figure carries a confidence rating. Revenue reconciled against your order system is solid. Channel attribution is directionally useful. Cross-device user counts are modelled, and we say so rather than presenting an estimate as a fact.
A typical implementation runs four to six weeks. Nothing is reported on until phase two is signed off, because a report built on unvalidated tracking is worse than no report – it gets believed.
Analytics does not generate revenue. It changes which decisions get made, and the value is entirely in the quality of those decisions.
Knowing which channels bring buyers rather than visitors is usually the single most valuable output of the whole engagement.
Ad platform algorithms optimise towards the conversions you send them. Wrong conversion data means efficient spending in the wrong direction – see PPC.
You cannot run experiments without trustworthy measurement. This is the prerequisite for CRO, not an alternative to it.
Most marketing disagreements are really disagreements about numbers nobody trusts. Reliable figures end them faster than debate does.
Seeing which touchpoints assisted a sale stops you cutting the channels that create demand because they do not close it.
Consent handled correctly means the data you hold is data you are permitted to hold.
Documentation and training mean your team can read and maintain this without calling anyone.
Which pages precede enquiries rather than which get traffic – directly useful to SEO and content planning.
Analytics work creates dependency easily. An implementation only one person understands means you call that person every time a report looks odd, forever.
So every event we create is written down in plain language – what it means, where it fires, what it should be used for – and your team is walked through it. The aim is that you would not need us for the day-to-day.
We start from the decisions you need to make. Tagging everything measurable is easy and produces a property nobody uses.
We compare GA4 revenue to what your order system says before signing anything off. Surprisingly few implementations ever do this.
Plain-language definitions for every event and dimension, so the implementation outlives whoever set it up.
GA4, Tag Manager and Looker Studio all under your ownership with us granted access – never the other way round.
Consent mode configured against your banner and tested on both paths. Fewer users recorded, and the ones recorded are lawful.
Modelled and estimated figures are labelled as such. Presenting an estimate as a measurement is how bad decisions get made confidently.
The technical work is similar everywhere. What changes is what the business needs to count, how long the journey takes, and how much of it happens outside the website entirely.
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Tailored to your business goa
Reliable process, clear communication.
We're here when you need us.
Tailored to your business goa
Reliable process, clear communication.
We're here when you need us.
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Everything businesses ask us before starting GA4 consulting.
Deciding what your business needs to measure, configuring Google Analytics 4 to measure exactly that, proving the numbers are correct, and building reporting your team can actually use. The configuration is the easy half; defining and validating are where the value is.
It is a different data model, not a redesign. Events replace sessions as the unit, bounce rate is inverted into engagement rate, attribution is data-driven by default, and users are modelled. Comparing GA4 figures directly to historical UA numbers produces false conclusions.
Yes, and it is where most engagements start. We trace every event to where it fires, check for duplicate conversions and cross-domain breaks, and give you a written list ranked by how much each issue distorts your reporting.
Both, for different questions. Ads counts a conversion against the click date within its own attribution window; GA4 counts against the session using a different model. A persistent gap is expected – a sudden change in the gap is worth investigating.
Yes, item-level through the full funnel, with refunds handled and revenue reconciled against your order system. That reconciliation is the check that catches most broken implementations.
Yes – most implementation happens there. We handle container structure, naming, a data layer specification your developers can implement, consent mode, and documented version control.
Eight checks before sign-off. Revenue reconciled to orders, duplicate firing tested on real transactions, cross-domain continuity through payment providers, consent tested on both paths, internal traffic excluded, referral exclusions, parameters registered, and cross-device testing.
Consent mode is configured against your existing banner and tested on both accepted and declined paths. You will record fewer users than a non-compliant setup, and the data you do hold will be data you are permitted to hold.
Yes – typically one executive page answering the questions the business asks, plus explorations for deeper work. We train your team on it and document what every metric means, so it does not depend on us.
We start from your decisions rather than from what is trackable, reconcile revenue against your orders before signing anything off, document every event in plain language, keep accounts under your ownership, and tell you which figures are modelled rather than measured.
Give us read access to your GA4 property and tell us what you sold last month. We will check whether the two agree, find the tracking problems distorting your reports, and send you the findings ranked by impact. Free, no obligation, yours either way.
The businesses that win aren’t just found – they’re found first. We make that happen, from local search to your entire digital presence.
