GA4 & Tag Management
GA4, Google Tag Manager and Analytics Implementation
A measurement plan first, then GA4 and Google Tag Manager configured to match it: events that mean something, tags that fire once, reports your team can actually read.
Interactive demo · Measurement Check Lab
Watch a GA4 setup prove itself
A measurement plan is only real when every event fires with the right name and the right details. Press Play and the demo walks the plan like a validation pass would.
Ready when you are. Press Play demo to run the validation.
GTM event setup · tag and trigger checklist
- page_view Fires on every page load page_location, page_title Waiting
- view_item Product page becomes visible item_id, item_name, price Waiting
- add_to_cart Shopper taps Add to bag item_id, quantity, value Waiting
- begin_checkout Checkout starts items, value, currency Waiting
- purchase Order confirmation shows transaction_id, items, value Waiting
- setupMeasurement plan loaded. Waiting for the first event.
No verdict yet. Run the demo to validate the plan.
GA4 reporting · events, last 7 demo days
Report is idle. Press Play demo and it builds itself.- page_view0all traffic
- view_item055.5% of views
- add_to_cart017.9% of product views
- begin_checkout039.2% of carts
- purchase064.2% of checkouts
A report like this is only trustworthy because the setup underneath it was validated first.
Illustrative demo with made-up events. Real validation checks your actual GA4 property, consent state and tag setup before anything is called correct.
Why it matters
Dashboards full of numbers that answer nothing
Analytics installations grow by accident: tags added over years, events with three naming styles, conversions that fire twice. Reporting then becomes guesswork.
Most analytics problems are not reporting problems. They are collection problems wearing a reporting costume. If the events underneath the chart are wrong, better charts only make the wrongness more confident.
Typical starting points look like this: key actions were never defined so nobody agrees what a conversion is, a tag was added in a hurry two years ago and still fires on every page, parameters carry four different spellings of the same product name, or consent state is ignored by half the tags.
That sequence is the entire service. The demonstration above is a simulated dashboard built from interface elements, not a connection to live Google data.
What you get
Implementation deliverables
Documentation is part of the build, so the setup survives staff changes.
- 01
Measurement plan
Business questions mapped to events, parameters and conversion definitions.
- 02
GA4 configuration
Property settings, conversions, custom dimensions, filters and consent alignment.
- 03
GTM container
Tags, triggers and variables organised and labelled so maintenance stays sane.
- 04
Validation report
Testing evidence: what was checked, where, and the result of each check.
- 05
Reporting views
Explorations or dashboards shaped around the questions your team asks regularly.
- 06
Handover notes
Plain documentation of the setup so it stays maintainable without us.
Example artefact
Event dictionary (illustrative)
Every implementation ships with a shared vocabulary, so a conversation about “conversions” means the same thing to marketing, product and finance.
| Event | Fires when | Key parameters | Used for |
|---|---|---|---|
view_item | A product or service detail becomes visible | item_id, currency, value | Interest by product, funnel top |
add_to_cart | An item is added from a detail or listing page | item_id, quantity, value | Intent strength, variant comparison |
begin_checkout | The checkout flow is entered | value, coupon, checkout_step | Funnel measurement, drop-off analysis |
generate_lead | A contact or quote form is confirmed | form_id, service_interest | Lead quality by source and page |
select_promotion | A merchandised slot or offer is chosen | promotion_id, slot | Discovery and recommendation testing |
Fictional example to show the format. Your dictionary is written against your business, your funnel and your platform.
Implementation approach
How an implementation runs
- 01
Questions before tags
We start with the decisions your team needs to make: which channels to fund, which pages to fix, which funnels to repair. Events are designed backwards from those questions.
- 02
Design the collection
Events, parameters, conversions and triggers are written down as a plan you can review before anything is implemented in your accounts.
- 03
Configure and document
GA4 and GTM are configured to the plan, with every addition labelled and explained in the handover notes as we go.
- 04
Validate in production
A structured QA pass: trigger every event, check parameters, confirm consent behaviour and look for duplicates before sign-off.
Scope
What analytics implementation includes
- Includes GA4 and Google Tag Manager setup or remediation, event implementation and validation.
- Includes documentation, training notes and a read-out for the team that will use it.
- Work is performed in your accounts: you keep full ownership of every property and tag.
- Server-side tagging, complex data warehouse pipelines and third-party CRM sync are separate scopes.
- This website's dashboard is a visual demonstration and is not connected to live Google data.
Google Analytics and Google Tag Manager are trademarks of Google LLC. Mentioning them here describes the platforms we work with and implies no endorsement or partnership.
Our GA4 is already set up. Can you review it instead of starting fresh?
Yes. Existing properties are audited first: events, parameters, conversions, filters, consent settings and data quality. If the foundation is sound, we keep it and fix what is not. Rebuilding without a reason wastes history you may still need.
Do you work inside our Google Tag Manager container?
That is the normal arrangement. We use your account, document every tag, trigger and variable we add, and leave the container in a state your team can understand and maintain.
Will this create duplicate data?
Duplicate collection is one of the first things checked. Implementations include validation passes that look for double firing, missing parameters and conflicting tags before anything is declared done.
Can you build reports for our team?
Yes, reporting views can be part of the scope: explorations, dashboards and plain language guides so the people making decisions can find the answers without asking an analyst every time.
Start with ga4 & tag management
Tell us where the journey loses people.
Send a short note about the business problem behind this service. We will reply with honest thoughts on fit, scope and what starting would involve.