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Quantum9
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Audit of analytical events: duplication and data loss

2 min reading
Editorial illustration: Audit of analytical events: duplication and data loss

An event logged in the browser does not prove that the report correctly represents the user's action. Measurement audits need to check triggering, receiving and interpreting important events.

How to evaluate this decision

Create an inventory of actions and those responsible. Check whether tools, components, or tag managers record the same action more than once. Differentiate click on the send button confirmed by the server. Consider navigation, consent, and blocks, making it clear that coverage may not be complete. Correct instrumentation before comparing incompatible periods.

Criteria for comparing proposals

  • Contract: define name, moment and permitted properties of each event.
  • Verification: reproduce success, failure and repetition in the real journey.
  • Report: check how filters and groupings transform the data received.

A scenario to discuss with the supplier

Hypothetical example: the quote button triggers conversion before validating the form. People who receive errors are counted as leads, creating a difference between analytics and sales cash.

What to validate upon delivery

Use a roadmap with expected results and evidence on available destinations. Record limitations and the date of correction so that collection changes are not confused with conversion improvements.

Prepare the conversation about the project

Bring to Quantum9 priority events, tools and reports used in decisions. The diagnosis must produce reproducible corrections and criteria to maintain the measurement in the next site changes.

Conversion Optimization · Map the company's priority

Deepen the assessment

Read the context guide for this hire.

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