The conclusion first
Our judgement comes first, along with what it can and cannot answer.
Data analysis
The numbers are in. What will you decide?
We start from the decision in front of you, not from the report. Every analysis states the conclusion, the evidence and the next step, so anyone can pick it up and follow through.
WHERE TO START
Start with a question
You do not need to know which analysis you need. Pick the question closest to your situation and we start there.
01
Where do people come from, and where do they leave?
Traffic sources, paths, funnels and form drop-off, to find the step most worth fixing first. Start with the Basic plan
02Which campaigns really work, and where should budget go?
Put every platform on the same definitions, then compare UTM, assisted conversions and results. Data Studio analysis
03Which content and audiences deserve more?
Content performance, return visits and audience profiles, to separate popular from productive. Real-time analytics
04The numbers change every quarter. Who interprets them?
A steady rhythm of interpretation: what changed, why it may have changed and who acts next. Data consulting
BEFORE WE ANALYSE
First, we make sure the numbers can be used
Careful analysis built on numbers that do not agree only makes a wrong decision look more certain. So we check tracking and definitions first, flag what does not match, and suggest a Data Health Check where it affects the reading.
Data Health CheckWHAT YOU RECEIVE
What each analysis gives you
Evidence you can trace
Each conclusion names its report, metric definition and period, so it can always be checked.
Next step and owner
What to do, who does it and when to look again, so the meeting ends with an owner.
SUBSCRIPTION
Three subscription plans: annual contract, one report a quarter
Choose by the data you want to look at together and how complex your decisions are. Each quarter brings one analysis; the first becomes the baseline.
Why once a quarter
A month rarely shows a direction. A quarter shows the trend and gives your team time to act on the last recommendations, so the next report has results to compare.
Between quarters
Send questions in writing and we will reply. Anything beyond the plan is explained first and discussed separately.
You have GA4, but nobody reads it regularly
Basic
- One GA4 website
- Quarterly report: traffic, funnel, key pages
- The three things to fix this quarter
- Written questions between reports
- A four-quarter review at year end
You run ads but cannot tell what works
Advanced
- Everything in Basic
- Google Ads and Meta added
- Advertising and attribution, budget advice
- One deep-dive question each quarter
- A quarterly walkthrough
- A budget review at year end
Marketing, e-commerce and finance each have their own numbers
Premium
- Everything in Advanced
- CRM or order data added
- Content and audience analysis
- Two deep-dive questions each quarter
- A cross-team review each quarter
- A year-end decision log: what was done and what happened
Compare the three plans
| Item | Basic | Advanced | Premium |
|---|---|---|---|
| Best when | You have GA4, but nobody reads it regularly | You run ads but cannot tell what works | Marketing, e-commerce and finance each have their own numbers |
| Data included | One GA4 website | GA4, Google Ads and Meta | GA4, Google Ads, Meta, plus CRM or order data |
| Quarterly report | Traffic, funnel, key pages; the three things to fix | Everything in Basic, plus advertising, attribution and budget advice | Everything in Advanced, plus content and audience analysis |
| Deep-dive questions | — | 1 per quarter | 2 per quarter |
| Reviewing together | Written questions between reports | Written questions, plus a quarterly walkthrough | Written questions, plus a cross-team review each quarter |
| Year end | Four-quarter review | Four-quarter review and budget review | Four-quarter review, budget review and a decision log |
A consultant will explain the approach and fees for your data scope. Without a recent Data Health Check, we start there.
OFFICIAL REFERENCES
References: Google documentation
Our approach follows Google’s official documentation. When the rules change, the latest official guidance applies.
- GA4 data freshnesssupport.google.com
- Get started with attributionsupport.google.com
- BigQuery Exportsupport.google.com
HOW WE WORK
How we work
- 01
Name the decision first
Who the analysis is for, when, and what it should help decide.
- 02
Check the numbers, choose the data
Review tracking and definitions, and agree on scope and limits.
- 03
Analyse and hand over a plan you can follow
Walk through the results together and agree on the next step and follow-up.
BEFORE WE BEGIN
A useful place to start
The decision you are weighing, the reports or account access you have, and anything that feels off.
Discuss your situationDoes it have to be a year?
Yes. Four quarterly reports are what it takes to see a trend and to track whether recommendations were acted on and what happened.
Can we subscribe without a Data Health Check?
Let’s talk first. If tracking or definitions would distort the reading, we suggest a health check and start the first quarter once it is fixed.
What if a question comes up between reports?
Send it in writing and we will reply. Anything beyond the plan is explained first and discussed separately.
COMMON QUESTIONS
Showing marketing ROI
What does a report need in order to show marketing ROI to management?
Three things:
- every number can be traced to the system it came from and the definition used;
- the attribution method is agreed in advance, with results from different models side by side;
- the report is produced automatically on a fixed schedule, so time goes into interpretation rather than assembly.
The last page should state a conclusion and the next step, not only charts.
How is a data analysis service different from reading GA4 reports ourselves?
GA4 shows what happened. An analysis service answers what to decide next. Every quarter we deliver an interpretation report with the conclusion and the evidence, and we flag the numbers that are not reliable enough to base a decision on.
Is there a real example?
For CTi News, we built a real-time dashboard that cut data latency from about 48 hours to about 30 minutes. In the 60 days after launch, with no additional media budget, new users and active users each rose 25% and sessions rose 15% compared with the same period before launch. Read the case
How we work
- Agree on the decisions this quarter needs to support.
- Check how reliable each number is and flag the ones not to use.
- Put attribution views side by side.
- Write the interpretation report: conclusion, evidence, next step.
- Review next quarter whether the call was right.