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Analytics · numbers you can trust

See which channels bring in revenue and which only create costs

We configure and check analytics so you can make decisions from the numbers: where customers come from, which pages lead to enquiries, and what to improve or stop. It suits owners of websites, online stores and services whose GA4 and CRM reports do not match, or who are unsure about their events and goals. The aim is to end arguments about the numbers and move budget toward channels with visible returns.

Does this sound familiar?

  • GA4 shows one number, your CRM another, and contractors a third.
  • You do not know which enquiries came from SEO, advertising or email campaigns.
  • Different people set up tags: events have inconsistent names and some are duplicated.
  • Tracking “breaks” after releases, and you find out a month later.
  • You need to show an owner or investor what a channel returns.

What the business gets

ResultWhat it includesBasis
Measurement mapwhat is counted correctly, what is duplicated and what is missingmeasurement audit
Configured goals and eventsenquiries, calls and payments appear in GA4 and are tied to a sourceconfiguration
Event documentationa glossary and instructions for checking after releaseshandoff

Illustrative example

if you spend 500,000 a month on advertising and 20% of enquiries are attributed to the wrong channel, decisions about that part of the budget are based on incorrect data. Good analytics restores your ability to decide from facts.

Pretty charts. But what's actually working?

Why this happens

When events have inconsistent names, are duplicated or are not linked to the real funnel, a report shows numbers but does not point to the next step. Search Console clicks and GA4 sessions also differ by definition; without an explanation, that turns into an argument (why).

What is included

  1. Inventory: which systems, tags and events are in place now, and who owns them.
  2. Funnel map and event glossary — shared names and rules, so everyone on the team means the same thing by each event.
  3. Removal of duplicates, gaps and parameter errors.
  4. Configuration of agreed goals and events (GA4, tag manager): up to 5 events in the starter package and up to 20 in the core package.
  5. Real-scenario check: the event fires once and is assigned to the right source.
  6. Handoff: event documentation and instructions on what to check after releases (assessing lead quality by CRM stage).

Recurring reports, dashboards and CRM integration are separate scope, estimated for the specific task.

How the work proceeds

StageTimingWhat we need from you
Decide what decisions the data should supportweek 1an owner for the question (marketing/sales)
Measurement audit1–2 weeksaccess to GA4, GTM, Search Console and CRM
Configuration and test in a real scenario2–4 weeksdecisions about consent (cookie/CMP) and developer access if code changes are needed

Coffee grounds are a poor analytics tool.

Case studies

  • Residential developer — site with interactive apartment selection, quiz funnel and CRM lead handoff: visit-to-enquiry conversion 1.1% → 3.4%, cost per qualified lead −41%, lead-to-deal conversion +27%. → Residential developer
  • SportFit — Looker Studio reporting on GSC and GA4: non-brand queries and AI assistants are visible as a separate source. → sportfit.ee
  • Financial branch network (NDA) — automatic collection of impressions, clicks and rankings for every branch: reporting went from 2 days to a 15-minute review. → Large banking network (NDA)

Similar tasks

$149 – $249

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Prices are indicative. The final price depends on the project and agreed terms and is confirmed before work begins.

The final price depends on the CMS and source-material readiness, integrations, and the number of target markets and languages.

Licences, paid tools, placements and infrastructure are quoted separately. Accounts and access remain in your name.

Measurement audit

— a one-off review to find out what to trust. Analytics setup — up to 5 events (starter) or up to 20 events (core), tested in a real scenario. Prices are shown on the cards.

What is excluded and what we do not promise

The work depends on access, user consent and third-party system documentation. We do not guarantee that systems will match exactly: platforms use different counting models. Licenses, server-side data storage, complex attribution and CRM fixes are estimated separately.

Who it is and is not for

The charts look great, but the answer to “what worked?” has gone missing.

Suitable for

teams that make decisions about channels and funnels and are ready to act on data.

Not suitable for

if the data is “just for show” and no one will use it; if you do not have access to the site and CRM.

FAQ

  • Can you do this without a developer? Some work is done in the tag manager interface. We agree code changes, server-side events and CRM work with your developer.
  • Why do GA4 and Search Console show different numbers? They use different definitions: a click and a session are not the same thing. We document the expected differences.
  • Do users need to consent to cookies? For example, in the EU and UK, consent is generally required for analytics cookies; rules differ in other countries. This is not legal advice: check with your lawyer, and we agree on consent settings before installing tags.
  • Can we see visits from AI assistants? Some visits can be separated as a source in GA4; this depends on whether the services pass a referrer. Read more in GEO.

If your report can't answer “what should we do next?”, it's time to cross-examine the analytics.

Pretty charts. But what's actually working?

Tell us what decisions you make from the numbers — we will suggest what to check and configure first.

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Coffee grounds are a poor analytics tool.

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