Google Analytics 4

Reconciled behavioural evidence, not another analytics dashboard.

Connect GA4 to Attributed Intelligence and reconcile events, key events and acquisition reporting against the platforms where the money actually lands. Consent-aware, read-only, senior-operator led.

The commercial proposition

GA4 tells you what happened on site. Attributed tells you whether it maps to money.

GA4 is a behavioural instrument, not a source of financial record. Attributed Intelligence reads GA4 events, key events, acquisition reports and data-stream configuration, then reconciles what GA4 reports against the platforms your commercial team actually books revenue from — Shopify, HubSpot or your CRM where connected. Attribution confidence is always framed against available data, consent state and known platform limitations.

GA4 events (behaviour)
  • page_view
    Session & traffic source
  • view_item / add_to_cart
    Intent signals
  • begin_checkout
    Purchase intent
  • purchase
    Reported revenue
Reconciliation checks
  • Consent state
    Modelled vs observed
  • De-duplication
    Duplicate purchase events
  • Currency & tax
    Ex-tax vs inc-tax mismatch
  • Refunds & cancellations
    Post-purchase adjustments
Source-of-record
  • Shopify / OMS orders
    Source of record
  • CRM / HubSpot
    Deal & customer state
  • Finance / ledger
    Recognised revenue
GA4 answers what happened on site. Commercial numbers come from reconciled sources. Attributed Intelligence continuously checks the difference and surfaces where it drifts.
Evidence contributed

What GA4 gives us — and what we do with it.

Events & key events

Session, engagement, form, checkout and purchase signals with parameters and user properties, read via the GA4 Data API.

Acquisition & channel

Default and custom channel groupings, source/medium, campaign, and referrer detail — reviewed for misclassification.

Data streams & config

Property, streams, enhanced measurement, cross-domain and internal-traffic filters — reviewed for coverage and integrity.

Consent-modelled data

Where consent mode is running, we separate observed from modelled behaviour so leadership sees the honest picture.

Typical Findings

What we usually surface

  • — Missing or duplicated purchase events distorting revenue reporting.
  • — Channel misclassification hiding paid contribution inside Direct or Organic.
  • — Enhanced-measurement overlaps double-counting form or scroll events.
  • — Currency, tax and refund treatment inconsistent between GA4 and the OMS.
  • — Consent-mode gaps materially understating (or overstating) tracked revenue.
Example Recommendations

What we do about it

  • — Re-scope the purchase event and de-duplicate at the server or dataLayer.
  • — Rewrite channel groupings against a reconciled acquisition source-of-record.
  • — Standardise revenue as ex-tax, ex-shipping across GA4, Shopify and finance.
  • — Extend consent-mode coverage and clearly label modelled contribution to leadership.
  • — Instrument the specific downstream conversion events the client actually values.
Implementation Packs

Findings become scoped, ownable work.

GA4 evidence flows into Implementation Packs alongside GTM, Shopify and CRM inputs. Each Pack contains the finding, the commercial impact, the owner, the deployment steps and the QA checks. Senior operators retain judgement and delivery accountability.

Owner

Analytics lead, growth engineer or marketing operations — assigned by capability, not seniority.

QA & validation

Pre/post event volumes reconciled against orders; consent-mode delta reviewed; regressions monitored.

Outcomes supported

Revenue reporting integrity, EBITDA protection, reduced value leakage, higher AI-era measurement maturity.

Where this fits

Reconcile your GA4 revenue picture in one Growth Review.

45 minutes with a senior operator. We'll walk through your GA4 configuration and where it drifts from booked revenue.