GA4 setup and Google Analytics consulting

Conversion tracking that shows what deserves more budget.

A technically active tag can still teach the wrong lesson. As your Google Analytics consultant, we diagnose and implement GA4, Google Tag Manager, consent, calls, forms and sales-feedback signals so reports distinguish activity from commercial progress.

Especially useful when paid media is active, sales questions reported leads or an important conversion setup has changed.

Live measurement route

01 / 05

Observed business actionConsent → collection → sales

consent state is known

Decision signalQualified outcomeValue returned to reporting and optimisation

ConsentTriggerPayloadQualityOutcome

DefinitionKnown

CollectionVerified

Sales outcomeConnected

9 yearsin online marketing

Ex Google Ads SupportDACH market experience

150+clients and projects

GA4 · GTM · Adsconnected measurement stack

★★★★★ 5/5Google Rating

Trusted by teams in Switzerland, Germany, the UK and beyond

A green tick is not the same as trustworthy data

Tracking can be technically active and commercially misleading.

The most expensive measurement problems are often quiet. Nothing crashes. The dashboard simply teaches the wrong lesson.

The same lead is counted twice.

A thank-you page, event and imported conversion can describe one action while the report treats them as separate progress.

Decision cost: performance looks stronger than reality.

Consent changes what platforms can observe.

Missing or inconsistent implementation creates unexplained gaps and weakens the signals used for optimisation.

Budget cost: incomplete data is treated as complete evidence.

Every form looks equally valuable.

The account sees a submission, but not whether sales accepted, rejected or closed it.

Team cost: marketing celebrates work that sales has to filter.

Reports disagree and meetings stall.

GA4, Google Ads, a CRM and a call platform use different scopes. Without a definition, every review starts by arguing about numbers.

Personal cost: uncertainty follows the team after the meeting.

What changes?

The goal is not to force every platform to show the same total. It is to know what each number means and which one should guide the next decision.

Inspect the handoffs ↓

The connected measurement path

Every useful signal needs a definition, an owner and a verification path.

Select a stage below. You will see the point where trustworthy data becomes ambiguous—and what must be true before that signal guides spend.

Select a stage to inspect the handoff

Stage 01 · Consent

Can the signal be collected consistently?

Consent state defines what platforms may observe. We make that boundary visible before a tag is treated as evidence.

Useful outcomeA known observation boundary

Before another dashboardFind the first handoff that is weakening confidence.

A focused diagnosis can separate a reporting difference from a real measurement leak.

Practical measurement scope

The tools are connected around the decision—not around a longer tool list.

Existing signals are diagnosed before new tags are added. Each implementation ends with a plain-language record of what is measured, how it was tested and what remains outside view.

Tracking diagnosis

Existing tags, events, conversion actions, attribution settings and data flows reviewed before changes are made.

Google Tag Manager

A structured container with clear naming, triggers, variables, consent behaviour and test evidence.

Google Analytics 4

Relevant events, key events, channel settings, internal-traffic handling, product links and reporting checks.

Google Ads measurement

Conversion actions, enhanced conversions where appropriate, imported events and offline or qualified-lead signals where the sales process supports them.

Form and call measurement

Successful submissions and meaningful calls distinguished from button clicks or page views wherever the technology permits.

Consent implementation

Consent Mode and platform behaviour aligned with the implemented consent solution. Legal compliance remains the client’s responsibility and requires appropriate legal advice.

Verification record

A plain-language map of what is tracked, where it goes, how it was tested and what remains outside view.

Measure fewer things more clearly

Not every visible action deserves the same weight.

A useful measurement plan separates diagnostic behaviour from the outcomes that should influence budget.

Explain

Diagnostic signal

Scroll depth, content views or tool interactions can explain behaviour. They should not automatically become bidding goals.

Observe

Lead signal

A completed form or meaningful call shows an enquiry, but not its commercial quality.

Qualify

Qualified signal

Sales confirms that the enquiry fits the agreed criteria and deserves follow-up.

Optimise

Outcome signal

An opportunity or customer outcome gives the account a stronger view of value where the process and data volume support it.

A longer event list can hide weak definitions. Start with the decisions the business actually needs to make.

Make the definitions explicitSee what your current conversion setup is actually teaching the account.

The fit check takes less than a minute and opens the calendar only when the engagement is likely to be useful.

Make lead quality visible

See how trustworthy signals change the commercial picture.

This model makes the hidden gap between a recorded enquiry and an outcome-connected signal visible. It is not a forecast. It shows why verification and sales context matter before data guides budget.

No dashboard theatreMore events are not better when their meaning, collection or commercial use is uncertain.

Illustrative model of monthly enquiries, verified-signal coverage, sales-outcome coverage and average client value. This is not a forecast or guarantee.

Monthly recorded enquiries40

Signals verified end to end60%

Sales-outcome coverage35%

Average new-client value$10,000

Verified enquiry signals24based on the verification input

Decision-grade outcomes8.4signals with sales context

Illustrative value context$21,000using a fixed 25% close assumption

31.6 recorded enquiries remain outside a verified, outcome-connected view. Ten more points of verification coverage would connect about 1.4 additional outcome signals at the same volume.

Before another reporting buildFind the signal leak before another decision follows it.

A focused diagnosis can separate a platform difference from a real measurement failure.

Measurement without a black box

Map first. Implement second. Verify before trust.

The work follows the signal from the business definition to its destinations and back to the decision it supports.

01Define

Agree the decision

Agree the commercial actions, source of truth and limits of the current systems.

02Audit

Reproduce reality

Inspect the existing implementation and reproduce the paths users actually take.

03Build

Implement deliberately

Implement the agreed events, destinations, consent behaviour and naming structure.

04Test

Verify every handoff

Validate each handoff and record known differences between platforms.

05Use

Put the signal to work

Confirm which signals should guide reporting and advertising decisions.

What customers say

Focused, reliable and straightforward implementation.

Client feedback points to clear implementation and practical recommendations. It does not replace technical verification for a new setup. 5/5 from 5 current Google reviews ↗

★★★★★Google review

“The collaboration was focused, reliable and straightforward, and the implementation was on time.”

Justine HilssSenior Marketing Manager · Erhardt Group

Translated from the original German review.

★★★★★Google review

“He quickly understood our business and helped bring structure and clarity to our Google Ads campaigns.”

Ross McCawFounder & CPO · OurPeople

Start with the same claritySee which part of the decision path is weakening results.

The fit check takes less than a minute and opens the calendar only when there is a practical fit.

A blue and gold route leading towards a mountain

A clearer route starts with a reliable signal

Find the measurement leak before another decision follows the wrong number.

Answer two quick questions. If there is a fit, choose a time directly.

Dennis Westphal, founder of Growth Junction

ExGoogle Ads SupportDACH

Founder-led means founder-led

You work with the person doing the diagnosis and the work.

I’m Dennis Westphal. My background includes 9 years in online marketing, Ex Google Ads Support for the DACH market, and 150+ clients and projects.

For analytics work, that means I map the commercial action, inspect the implementation and explain the limits of the data before recommending more tracking. You get direct access, clear reasoning and an honest view of what deserves attention next. If a requirement falls outside my scope, I say so.

The goal is a system you can understand and decisions you can defend—not another supplier or dashboard that creates more work to coordinate.

Direct senior involvementCommercial context firstClear next actions

More about Dennis and Growth Junction

Fitness check

This is likely a good fit if...

✓Paid media is active and reported lead quality is disputed.
✓The team needs to understand what each platform number actually means.
✓Sales can define a qualified enquiry and share outcome feedback.
✓You want a verified implementation—not more dashboard tiles.

Probably not a fit

If the goal is simply to collect more events.

If you only want more dashboard tiles without agreeing which decisions they support, this will add little value.

Your practical next stepFind the first leak before adding more activity.

Answer two quick questions. If there is a fit, choose a time immediately.

Analytics and tracking FAQ

Questions to settle before the numbers guide spend.

Clear definitions now prevent expensive reporting debates later.

Can you repair an existing GA4 and Google Tag Manager setup?

Yes. We first map what the business needs to measure, then inspect the current tags, triggers, events, consent behaviour, platform links and conversion settings. Useful parts are retained. Changes are made only where the definition, implementation or data flow needs correction.

Why do GA4 and Google Ads show different numbers?

The platforms use different attribution models, scopes, time settings and processing rules. Some difference is normal. The important work is to define which view answers each business question, then verify that both systems receive the intended events.

Do you implement Consent Mode?

We can implement the technical consent signals and test platform behaviour with the selected consent solution. The client remains responsible for obtaining legal advice and approving the consent language and policy for each market.

Can you track lead quality, not just form submissions?

Often, yes. The exact method depends on the CRM, lead process, identifiers, consent and data volume. We first define what qualified means, then design the safest practical route for returning that outcome to reporting or advertising platforms.

Will every platform report the same result afterwards?

No. A reliable setup does not force different platforms to produce an identical total. It makes the definitions, expected differences and intended decision use clear.

Start with evidence, not another promise

Find the tracking leak that is weakening your next budget decision.

We will look at business actions, consent, tags, destinations, conversion roles and sales feedback. You leave with a clearer view of the first problem worth investigating.

TWO QUICK QUESTIONSCheck whether the Lead-Leak Analysis is likely to be useful for your company.

Use USD or your local equivalent. Your answers stay in your browser and only determine whether the booking calendar appears.

No generic pitch. No obligation to rebuild everything. Just a commercially useful first diagnosis.