Marketing analytics services that show which channel actually paid
Measurement you can take into a finance meeting.
This is the measurement hub: we design what gets measured, build the collection layer through Tag Manager and GA4, prove the numbers against your payment provider or CRM, and report them monthly in writing.
- 01GA4, Tag Manager, server-side tagging, Looker Studio, BigQuery
- 02Every property, container and dashboard stays in your Google account
- 03Free tracking audit, back within 24 hours
Next step: a tracking review
FreeSend us the site. We check what is collected, what fires twice, what consent blocks, and where reported revenue parts company with reality, then reply within 24 hours.
Prefer to talk it through? Book a free 30-minute intro call →
Marketing analytics services: three layers, one chain
Marketing analytics services turn ad spend and site behaviour into numbers you can act on. The work runs as three layers, and a fault in a lower one makes everything above it wrong while still looking plausible.
Collection
The tag layer: containers, the dataLayer, consent signals, server-side tagging, and the Google Ads and Meta conversion APIs. Owned by Google Tag Manager work.
Processing
The measurement layer: events named to a written spec, key events mapped to outcomes, data quality and consent settings. Owned by GA4 implementation.
Reporting
Attribution, dashboards on your own property or warehouse, and a written monthly report. Owned by this page.
Most engagements start with a repair rather than a dashboard, because the request that arrives is almost never the problem that exists. Someone asks for better reporting when a conversion has been firing on page load for months.
Which of these you actually need
Three purchases. Most companies need one of them, not all three, and the review says which.
The tag layer is broken
Tags fire twice, or not at all. An inherited container nobody documented. Consent blocking more than it should. That is container architecture, dataLayer design and server-side tagging: Google Tag Manager consulting.
The numbers are wrong
Events collect but nothing means anything. Conversions counted on the wrong trigger, revenue that will not reconcile, a property nobody configured on purpose: GA4 implementation.
Nobody can answer the question
The tracking works and you still cannot say which channel paid. That is a measurement design and reporting problem, and it is what this page is for.
Poor fits, said plainly: a single-page site with no real ad spend, and any team wanting a dashboard laid over data nobody has checked. We will not build the second. iGaming is a genuine specialism here, with postbacks, registration and first-deposit events and consent rules that differ by market, drawing on the same domain knowledge as our casino link building.
How a broken setup gets diagnosed
Bottom up, never top down. A dashboard is the last place a measurement fault shows itself and the worst place to debug one.
So we start at collection: is the tag present on every template, does each event fire once, does the request leave the browser, does it arrive with its parameters typed correctly. Then processing: is the event registered, is the key event defined on the right trigger, are internal traffic and self-referrals filtered. Only then reporting, where the question becomes whether two platforms disagree for a legitimate reason.
The panel is the shortlist we work through. Each line is a starting hypothesis rather than a verdict, confirmed against your own data before it reaches the findings.
Symptom, and where it usually lives
Deciding what to measure, before anything is built
The measurement plan is the one document both specialist services build against. Written once, here, at the top of the chain.
Start from decisions
Not from metrics. Each question has to name a decision somebody actually makes with the answer. Anything that fails that test is a number to admire, and it gets dropped before it becomes something to maintain.
The data dictionary
Every event and field defined in words a new hire can read: what it means, when it fires, who owns it, and what it must never be used for. Versioned, because definitions drift faster than code.
Owners, not just fields
Each number gets a named owner on your side. Definitions with no owner are the reason two teams present different revenue figures in the same meeting.
Three or four questions is normal for a business that has never written them down, and it is enough. The plan is what the event schema and the container are then built against, which is why it is written before anyone opens either.
What attribution can and cannot tell you
The honest version, because the alternative is a report that quietly overstates its own certainty.
"If two platforms disagree, we show you why. We do not quietly report the flattering number."
The Web Push reporting standardAttribution is modelled, not measured. A model assigns credit under assumptions; nothing observed what would have happened if the ad had not run. Google Ads, Meta and GA4 count the same conversion under different rules, lookback windows and view-through settings, which is why the totals never reconcile, as Semrush's guide to attribution sets out. We report each platform's own number, the deduplicated view, and the difference between them.
Three limits sit under all of it. Consent refusals remove people from the data entirely, and modelling estimates that gap rather than recovering it. Cross-device journeys break the chain. Deduplication only works when a shared transaction ID was designed in. Where a channel's real contribution matters, the honest test is an experiment, a geographic holdout or a spend pause, not a prettier model. That matters most where paid search and organic search touched the same visitor.
Reporting: what lands in your inbox
The standing report is monthly, short, and written by the person who built the tracking. It leads with revenue and cost per acquisition, not sessions.
The monthly report
What changed, what caused it, what we would do next, and what we got wrong.
The live dashboard
Looker Studio on your GA4 property or BigQuery project. It keeps updating whether or not we are still engaged.
When a number looks wrong
Reply to the report. A senior practitioner investigates that week and answers with a cause.
Dashboards are built on a warehouse export wherever reporting has to reach back further than the platform keeps event-level data, a limit most teams meet the first time they compare a year. Reporting is also where measurement earns its keep, which is why this work sits directly under conversion rate optimisation. You cannot optimise what you cannot measure.
What you get: the artefacts, by name
Every item is a file, an account or a document that outlives the engagement. The measurement plan, data dictionary and event spec stay versioned.
Ownership is not negotiable: property, containers, BigQuery project and dashboard live in your own Google account. Not included: media management, creative, page builds, consent-notice wording.
We do not show prospective clients another company's dashboard or property. The free review is written against yours, with the evidence in your own account.
What lands in your hands
How a marketing analytics project runs
Audit, plan, build, prove. Delays come from developer queues, consent tooling and third-party systems, not from the build.
Audit
Every tag and trigger mapped: what fires twice, what never fires, where revenue diverges.
Measurement plan
One document: the questions the business needs answered, the events that answer them, the owners.
Implementation
Built in a staging container, tested against a checklist, then published. Consent tested in both states.
Validation
Numbers reconciled against a second source, variance explained in writing, accounts confirmed in your name.
Validation separates a real implementation from a tag install. We reconcile against a source with no reason to flatter the result, the payment provider or the CRM. Some variance is normal from consent refusals, ad blockers and cross-device journeys. An unexplained gap is a bug; a measured one is a footnote.
What we need to start: read access to analytics and the container, the Ads and Meta accounts if spend is in scope, an export from the payment provider or CRM, and one person on your side who can answer what the business actually needs to know.
Standards we work to
Events follow a written naming convention. Container changes go to staging first, are tested in both consent states, then published with a dated change-log entry. Key numbers are re-checked after significant site releases, because a front-end deploy breaks more tracking than anything we do.
On GDPR: Consent Mode is configured so tags respect the visitor's choice, and we document what is collected before consent. GDPR is the default rather than a retrofit. Consent-notice wording stays with your counsel.
We will not claim two attribution models can be made to agree, and we will not promise a data-completeness percentage. Consent choices put a floor under both, and we say where that floor sits.
How we work
What marketing analytics services cost
We quote per scope rather than publish a rate card. The work takes three shapes: a fixed-scope project for audit, plan and implementation; a monthly retainer for reporting and analyst time; and fixed-price additions for a new market or a server-side migration.
What moves it up: more domains and languages, server-side infrastructure, tracking debt to unpick first, CRM data joined back to the session. What moves it down: a clean single-domain site and a business that already knows its three questions.
Server-side hosting, BigQuery and consent licences sit in your accounts, billed by the vendor. We configure them, we do not resell them. Nothing carries a promised uplift. The exact figure comes back with the free audit, attached to a defined scope.
Why a boutique, senior-only analytics agency
Every hour billed is worked by a senior practitioner. No delegated tier learning on your container, no account manager relaying questions. The client list is short by design.
Send the domain, the platforms you run, the ad accounts in play, and the one number you most need to trust. The review comes back within 24 hours, and if the honest answer is that you need one of the two specialist services rather than the hub, you will be told that instead.
Fair questions, straight answers
What is the difference between marketing analytics and marketing reporting?
Reporting tells you what happened; analytics tells you why, and what to change. Reporting can be automated once the data is trustworthy. Both fail the same way: if collection is wrong, everything above it is wrong too.
Do we need GA4 implementation, Tag Manager work, or this?
If tags fire twice or not at all, the tag layer is the problem and that is Tag Manager work. If events collect but the numbers do not mean anything, it is GA4 implementation. If both are sound and you still cannot say which channel paid, that is this page. The free review tells you which of the three you are actually in.
How much do marketing analytics services cost?
We quote per scope rather than publish a rate card. The number moves with domains and languages, whether server-side tagging is needed, and how much tracking debt must be unpicked. Hosting, BigQuery and consent licences are third-party costs you pay directly.
Can attribution tell us which channel caused the sale?
No, and anyone who says otherwise is selling a model as if it were a measurement. Attribution assigns credit under assumptions, and consent refusals and cross-device journeys break the chain before the model starts. For a decision that really matters, run an experiment: a geographic holdout or a spend pause answers the causal question no attribution report can.
What tools do you work with?
GA4, Google Tag Manager for web and server-side, Looker Studio, BigQuery, and the Google Ads and Meta conversion APIs. Also Meta Pixel, LinkedIn Insight Tag and HubSpot, always in your accounts. Estimates from tools such as Semrush are direction, never measured data.
How long before the data is reliable?
Implementation is measured in weeks, not months, and the constraint is usually developer availability on your side. Data is decision-grade once it has been validated against a second source, normally the payment provider or CRM. Until then, treat the reports as directional.
Can you fix tracking that is already broken?
Yes, and that is how most engagements begin. The audit finds duplicate tags, conversions firing on page load instead of on purchase, consent that blocks nothing, and revenue that does not match the processor. We record what changed and when.
How do you handle GDPR and cookie consent?
Consent Mode is configured so tags respect the visitor's choice, and we document what is collected before consent. GDPR is the default rather than a retrofit. Notice wording stays with your counsel.
Do you work with casino and iGaming brands?
Yes, it is a specialism: affiliate postbacks, registration and deposit events, NGR reporting, multi-brand setups. Same domain knowledge as our casino and iGaming work. We flag whatever needs checking against platform terms and your licence, and never promise regulatory approval.
Do we still need an in-house analyst?
For most small teams, no. Where the volume genuinely warrants an internal hire, we will say so instead of billing a retainer. Where an analyst already exists, we build the collection layer and hand the interpretation over.