Analysis
Impact analysis
What do the figures show before and after a change? We compare up to five metrics and review other influences that limit the conclusions.
Analysis / UX · Analytics
VAT-exempt under section 19 of the German VAT Act
Analytics data check
Which events does your tracking actually count? We check one analytics property for gaps and conflicting figures.
US$799.00Regular catalogue price US$899.00
Total price · one-offVAT-exempt under section 19 of the German VAT Act
- One Matomo or GA4 property
- Up to five key events defined in advance
- Plausibility review for an agreed period
Your enquiry is non-binding. An order is created only when you accept our quotation .
Offer
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Service scope
Your result
- Review log for the agreed events with known data gaps
- Task list for correcting or further investigating measurement
Included
- One Matomo or GA4 property
- Up to five key events defined in advance
- Plausibility review for an agreed period
- Documented data gaps, recommendations and one written follow-up round
Excluded
- No complete consent or legal audit
- No automatic tracking repair or new implementation
- No consolidation of unlimited data sources
Which projects does this service suit?
Suitable if …
- Metrics conflict and you need an understandable assessment.
- You want to establish which data is reliable before analysis.
Not suitable if …
- No measurement or usable data exists yet.
- You need legal data protection approval.
Possible overlaps with: Shop diagnosis, Impact analysis. If you enquire about these services for the same project, we check for duplicated work before commissioning. Your selection also shows a notice.
What this covers
Why does my analytics tool show different figures from my shop?
Your shop reports more orders than Matomo or GA4. We check whether the systems count the same processes, whether events fire twice and where measurement has gaps.
We examine one Matomo or GA4 measurement environment and up to five agreed key events. An event is a recorded action, such as submitting a form. For each event, we document its trigger and what its count means.
Distinguish measurement errors from different definitions
A property is the separate data area for a website or application in your analytics tool. We first define the events and period for the review. We then examine available settings and documents: what triggers the event? Can the same process count several times? Do labels match what actually happens?
You receive a review log with known gaps and a task list. Your team can see which measurement points need correction or further investigation. The check does not repair tracking or legally assess consent management.
Does this sound familiar?
Figures differ between views
Your shop counts more orders than Matomo. We first compare the period, filters and counting method. Cancellations or missing consent may explain the difference.
An important event looks unusual
The enquiry curve falls after a relaunch. We check whether enquiries changed or the event has since been triggered elsewhere. Missing history is recorded.
Your team discusses different metrics
Marketing treats clicking ‘Send’ as a lead, while sales counts only a received enquiry. We clarify what the agreed events count and which decisions they can inform.
How we approach it.
Define questions and events
We define the property, period and key events to review. An understandable event definition matters more than the number of reports. You describe the decision the data should inform and known changes during the period.
Trace the measurement basis
We review event definitions, settings and supplied data. For anomalies, we record the relevant conditions. Where history or documentation is missing, we state the open question rather than guessing a cause.
Identify gaps and next checks
You receive a list of conclusions supported by the data, open questions and next verification steps. Tracking repair and technical acceptance are excluded.
After handover
Mark in your reports which metrics have been clarified and which still have measurement gaps. A later comparison requires a period using the same definition. The list of unresolved measurement points helps development prepare a repair.
If you want to assess an implemented change using data, the impact analysis fits. For a shop purchase journey, the shop diagnosis combines the interface and existing data. Before combining services, we define their respective questions.
Which decision depends on the figures? Note the metric, analytics tool and known changes during the period. We clarify these together after receiving your enquiry.
You do not need to provide credentials or full exports yet. We first agree which data is needed and how it can be supplied.
Terms used in this service
What does that mean?
- Key event
- A process you want to evaluate for a particular question. For an enquiry, for example, confirmed storage counts; a button click describes only an attempted submission.
- Data gap
- Missing measurement information about a process or period. The report states which comparisons this limits and what can still be checked.
- Plausibility review
- Checking a figure against how it was produced. For example, we investigate whether an event fires repeatedly or two reports use different filters.
Before your enquiry
Questions about the offer.
What is included, what do you need and what happens after your enquiry?
The process in detail →Do you review Matomo and Google Analytics 4?
The package covers one agreed Matomo or GA4 property. We define in advance which events and documents will be considered. A simultaneous complete reconciliation of several analytics systems is not automatically covered.
Are tracking errors fixed immediately?
No. You receive documented findings and tasks for correction or further review. Your existing development team can plan the repair. Implementation can be scoped and quoted separately if needed.
Can I then consider every figure complete?
No. Missing consent, technical blocks and different definitions may continue to limit collection. The check shows these limitations for the events examined; it does not certify completeness.
Is consent management legally reviewed?
No. A technical issue around consent may be relevant measurement context. It does not provide legal approval of your consent interface or data processing. A complete consent or legal audit is expressly excluded from this package.
What does a property mean?
Here, a property is the defined data environment covered by the check. Multiple websites, accounts or data sources may have different boundaries. We therefore agree the environment and events first, rather than assuming unlimited data access.
Will I receive evidence of lost revenue?
No. Measurement gaps and conflicting events cannot be converted into lost revenue without further assumptions. The check describes data quality and limitations. Economic scenarios require your own inputs and remain separate from measured results.
When does work begin?
The work window is confirmed in writing before commissioning. Work starts once all required materials are available.
Which access is needed?
An existing analytics property containing data An agreed period and definitions of your key events Aggregated exports or authorised read access only after commissioning; no credentials in the enquiry form Credentials must not be included in the enquiry. Details are agreed only after written commissioning.
What happens after handover?
One written follow-up round is included. The service scope lists the analyses, designs or technical changes covered by the package. We agree additional work with you before it begins.
Read more on this topic
Analytics and the shop system show different figures: check rather than guess
Does your report count a click or a saved enquiry? Align triggers, reporting periods and tracking gaps with the shop system.
Read the guide ↗Related services
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Analysis
Shop diagnosis
We examine one purchase journey and the available analytics data. The report sets out findings, open questions and the next tests.