Symptom
The distortion lives in the per-system view — each platform presents its data as complete within its own reporting frame and no standard dashboard compares the two systems' counts for the same period.
You asked
Large share of conversions tracked in analytics have no corresponding CRM record — different systems measure users and events using different definitions producing systematically inconsistent counts.
Symptom
The distortion lives in the per-system view — each platform presents its data as complete within its own reporting frame and no standard dashboard compares the two systems' counts for the same period.
Cause
GA4 counts browser events using client-side tags while Salesforce counts CRM records created through integration layers — fundamentally different data architectures that will produce different numbers without a reconciliation layer.
Impact
Budget decisions are made on conflicting data — twenty to forty percent of conversions may be misattributed across channels leading to channel scaling decisions that cannot be validated against the revenue system.
Large share of conversions tracked in analytics have no corresponding CRM record — different systems measure users and events using different definitions producing systematically inconsistent counts.
The distortion lives in the per-system view — each platform presents its data as complete within its own reporting frame and no standard dashboard compares the two systems' counts for the same period.
GA4 counts browser events using client-side tags while Salesforce counts CRM records created through integration layers — fundamentally different data architectures that will produce different numbers without a reconciliation layer.
Budget decisions are made on conflicting data — twenty to forty percent of conversions may be misattributed across channels leading to channel scaling decisions that cannot be validated against the revenue system.