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MOCHILAB / AI SKILL
Exported Event Funnel Audit
Reconstruct ordered attempts from real event rows and separate completed, timed-out, censored and ambiguous journeys.
What it helps with
Reconstruct ordered attempts from real event rows and separate completed, timed-out, censored and ambiguous journeys.
Say it like this
Count this funnel per attempt, not across a user's lifetime.
Separate journeys still inside the follow-up window from real drop-offs.
What you receive
Ask for actual row-level events with stable attempt/session IDs, unique event IDs and offset-aware timestamps. Confirm closed ordered stages, the first-entry cohort interval, a follow-up duration and data completeness cutoff. If only aggregated GA4 user counts exist, explain that attempt sequences cannot be reconstructed. Present resolved and still-observed attempts separately.
Give the assistant your actual files or records and confirmed rules. It asks for missing facts rather than inventing records; you do not need to hand-fill JSON. Receive a traceable report and detailed review rows for download.
Scope
Closed, indirect, ordered event-name subsequence within each supplied attempt. No GA4 UI emulation, analytics account connection, guessed identity stitching or inference from aggregate counts.
The script reads supplied local files and creates reports without network or model calls. Your assistant still uses its configured services; this does not promise absolute privacy for a conversation. The Skill is free and needs Python3.10+. Optional AI interpretation follows your existing model service charges.
Demand and technical basis