A report that decides nothing is not a report.
A report is only useful once it states the measurement period and the definition of the metric for every figure. Without that it is a collection of numbers that can be read whichever way suits.
Discuss measurementThe same data answers two very different questions.
Most reports answer the question of what happened. Views, impressions, reach, time on page. All correctly measured, all traceable, and at the end nobody knows what will be done differently next month.
A report worth having answers what follows from it. Which channel produced enquiries, what an enquiry cost, what gets increased and what gets stopped. Same data, different question.
Switch between them.
Two reports covering the same period and the same data. The first says what happened. The second says what to do.
What happened
All correctly measured. None of it supports a decision.
- Impressions
- 128,400
- Page views
- 17,260
- New followers
- 612
- Average time on page
- 1:47 min
- Bounce rate
- 54%
It looks like a good month. Whether it was a good month is answered by none of these lines.
Nordlicht is an invented company and every figure in both reports is an illustrative example. These are neither ALVÉRA results nor data from a real client.
Before anything can be reported, it has to be measured
Most measurement problems are created during setup, not during analysis. What is not captured cleanly cannot be reconstructed later.
- Define the metrics
- What counts as an enquiry, what counts as qualified, what counts as a sale. In writing, before measurement starts.
- Set up measurement
- Website, forms, calls and campaigns captured so an enquiry can be traced back to its source.
- Respect consent
- Measurement that starts only after active consent, and reports that state how that is handled.
- Build the dashboard
- One view with the figures you actually need, instead of a default template with forty tiles.
- Monthly report
- Measurement period and definition for every figure, plus what follows from it.
- Make AI access visible
- Reporting on which AI systems retrieve your pages, an area where common analytics tools show little.
From the definition to the monthly report
We start with the question of which decision the report is supposed to support.
- 01
Define
Which decision should the report support, and which metric answers it. Everything else follows from that.
- 02
Measure
Set up capture and verify it actually measures what it is supposed to measure. A test that is often skipped.
- 03
Report
Monthly, with a measurement period and definition for every figure, and a clear statement of what follows.
- 04
Adjust
What does not deliver is stopped. What delivers gets more. The report is the basis, not the conclusion.
What clients ask beforehand
Why is a standard dashboard not enough?
A standard dashboard shows what the tool can measure out of the box, not what supports a decision in your business. For a trade business an enquiry through the form matters, for an online shop the basket value, for a B2B company a booked first consultation. Those figures have to be defined and set up before they can appear in any report.
What makes a metric sound?
Three things: the measurement period, the definition of the metric and the source of the measurement. A percentage increase means nothing without a period, and without a definition it cannot be checked what increased. ALVÉRA states results only with all three, including in its own case studies.
How does ALVÉRA handle consent and data protection?
Measurement starts only once the person has actively consented. Without consent no analytics data is collected. As a result reports do not capture every visitor, and that gap is named in the report rather than hidden.
Which decision should your report support?
Tell us what you currently do not know but ought to. What needs measuring follows from that.
Free. No obligation. No sales pressure.