Design a clean experiment for duplicate conversions / event company

For event company, the same outcome is counted more than once. This field note turns which event should be authoritative into a short test for event company, so the next change has a traceable reason.

Frame the signal

Context check: registration and attendance records. Topic check: assign one event ID to one business outcome.

Start with one controlled variation with a known expected result. Treat the dashboard number as a question, not an explanation. Follow one real journey from the first interaction to the system that owns the outcome. If a value is missing, mark it unknown instead of filling the gap with an assumption.

Trace the handoff

• Record the value at the first step and note the exact page, event, or record where it appears.
• Compare the browser, tag manager, analytics, ad platform, and CRM views without changing the implementation during the check.
• Check redirects, consent state, validation, naming, timestamps, and timezone before comparing totals.
• The experiment log should state the hypothesis, exposure, result, and next decision.

Leave a decision record

the experiment log should state the hypothesis, exposure, result, and next decision. Keep the owner, timestamp, evidence link, expected result, observed result, and next action together. Testing a fix without changing several variables at once only after the current path is readable to someone who did not build it.

Reference: Google Analytics events guidance. For the next handoff, LeadSheet keeps the record connected.