Analytics & Attribution
Can the data your business is using actually be trusted?
DSDillon audits the measurement chain from visitor acquisition through inquiry and commercial outcome. The objective is evidence showing what is measured correctly, what is broken, what cannot currently be proven and what should be repaired.
Collection integrity
Are analytics signals present, duplicated, missing or inconsistent?
Conversion integrity
Are forms, calls, email actions and other commercial outcomes actually measured?
Source preservation
Do campaign, referral and UTM identifiers survive the journey into an inquiry?
Attribution gaps
Can a lead be connected to the available source and campaign data, with unknowns clearly recorded?
Measurement blind spots
Which important customer actions are invisible to the current measurement system?
Commercial usefulness
Can the available evidence support a decision about where to invest, repair or stop spending?
What the audit produces
An evidence register of detected implementation, missing or unreliable signals, conversion and attribution gaps, limitations, business consequences and prioritized corrective actions. Where something cannot be verified from available evidence, DSDillon says so rather than assigning false certainty.
From diagnosis to Commercial Intelligence
Analytics Accuracy Diagnostic → Measurement Repair & Implementation → Attribution Architecture → Ongoing Commercial Intelligence.
Keep working through the issue
Related guides and services that can help you continue the diagnosis.
Explore more about Analytics Audit
Conversion evidence, lead tracking and commercially useful reporting.
