GA4 revenue and CRM revenue don't match. What can you actually rely on?

Why the figures can legitimately differ

GA4 and a CRM follow different measurement and record-keeping conventions. They need not describe the same population of customers or the same commercial state.

Different events. GA4 revenue is calculated from purchase events sent from a website or app, using the value and currency attached to those events.¹ A CRM opportunity is a commercial record: in Salesforce, for example, an opportunity carries an Amount, described as the estimated total sale amount, and a Close Date.² One describes activity on a digital surface; the other describes the state of a commercial relationship.

Different ways of assigning credit. GA4 distributes credit for key events across the touchpoints that preceded them according to a reporting attribution model, which can include data-driven attribution.³ The model and its lookback windows are property settings, so the reported figures depend on how they are configured.⁴ A CRM represents value through the commercial records and conventions maintained by the organisation.

Different dates. Google documents that Google Ads reports a conversion on the date of the ad click, while Google Analytics and back-end systems report it on the date the conversion occurred.⁵ CRM close dates and finance periods follow their own timing. The same customer can appear in different periods in different systems.

Different coverage. Where analytics consent is denied, the observable data available to GA4 can differ from data collected with consent. In eligible circumstances, Google Analytics may use behavioural modelling to address some resulting measurement gaps.⁶ A CRM reflects the customer, lead and opportunity records the organisation has chosen and been able to capture. Neither is a complete picture of the market.

A third question from finance. Under IFRS 15, revenue is recognised when, or as, a performance obligation is satisfied by transferring control of a promised good or service to the customer.⁷ An attributed purchase or a closed-won opportunity can legitimately differ from recognised revenue in both timing and amount.

A hypothetical illustration

Illustrative figures only. They are not drawn from any client, engagement or dataset.

All three can be correct at once. Differences in timing, definitions and coverage may explain the gap between them.

Now suppose the decision on the table is whether to commit a further £500,000 to acquisition. Explaining the gap answers a measurement question. It does not answer the investment question. It would not show how much of the revenue would have arrived without the marketing, or whether another £500,000 would perform as the last did.

Explaining a difference is not the same as proving a case

Reconciliation can be genuinely useful. It can replace an argument about whose dashboard is right with a shared understanding of what each figure represents.

It does not, on its own, establish:

• Causation or incrementality. Attribution shares credit among recorded touchpoints. Incrementality asks what would have happened without the activity, a different question that typically calls for controlled experiments, such as the Conversion Lift studies Google offers to measure the causal impact of ads.⁸
• Recognised revenue. Attributed or closed-won value is not recognised revenue until the accounting criteria are met.⁷
• Future return. An explained historical figure is not evidence that further spend will produce a similar result.
• Sufficiency for the decision. Whether the evidence is enough is a judgement about the specific decision being made, not a property of any single dashboard.

Why this matters before the decision

When a number influences how money is committed, what the evidence supports becomes a business question, not a reporting one.

For the CMO, the exposure is defending a budget on a figure that answers a different question from the one finance will ask. For the CFO, it is approving investment on a number whose meaning and limits have not been made explicit. Choosing a preferred dashboard resolves neither.

Leadership should be able to distinguish:

• What decision is being supported?
• What does the available evidence actually establish?
• What material uncertainty remains before that decision is made?

None of this requires anyone to be wrong. Marketing, analytics, CRM and finance teams can all be working in good faith, with sound numbers that support different conclusions.

When an independent assessment may be worth considering

Independent assessment may be worth considering when unresolved evidence is material to a consequential investment, budget, revenue or accountability decision, particularly where decision-makers need a view independent of the people and platforms producing the numbers.

The MICHVI Evidence Assessment is an independent assessment of the evidence being relied upon for a defined consequential decision.

• Scope: one defined consequential decision domain and up to three material evidence journeys.
• Price: UK from £5,000 · Eurozone from €5,000. Final fee confirmed at scoping.
• Access: no client credentials required by default.
• Standalone: no implementation, retainer or technology purchase is required.
• Independence: MICHVI does not manage media budgets, buy advertising or optimise campaigns.

If a decision like this is in front of you, scope an Evidence Assessment.

Sources

1. Google Analytics Help, [GA4] Ecommerce purchases report
2. Salesforce Help, Opportunity Fields
3. Google Analytics Help, Get started with attribution
4. Google Analytics Help, [GA4] Select attribution settings
5. Google Ads Help, Data discrepancies: factors and troubleshooting
6. Google Analytics Help, [GA4] Behavioral modeling for consent mode
7. IFRS Foundation, IFRS 15 Revenue from Contracts with Customers
8. Google Ads Help, About Conversion Lift