Losing Ad Diagnosis

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Pinpoints the exact funnel stage where an underperforming ad loses users to prevent misguided rewrites and design changes.

Losing Ad Diagnosis provides a rigorous, data-driven audit for underperforming paid advertising creatives by analyzing four critical funnel stages: impressions, link clicks, landing sessions, and conversions. Instead of guessing whether an ad requires new copywriting, visual assets, landing page adjustments, or technical fixes, this skill evaluates the creative against ad set benchmarks to uncover the root cause. It protects teams from rewriting the wrong layer by distinguishing hook failures from landing page mismatches, delivery starvation, and tracking drop-offs, applying statistical and volume guardrails to ensure decisions are backed by evidence.

Key Features

011 GitHub stars
02Ad set benchmark comparisons against median click-through and conversion rates
03Funnel stage attribution identifying exact drop-offs across impressions, clicks, sessions, and conversions
04Delivery anomaly detection for unserved, starved, or skewed ad allocations
05Separation of creative hook failures from technical delivery and tracking drop-offs
06Objective recommendation engine prescribing targeted rewrites or landing page investigations

Use Cases

01Diagnosing a newly launched ad that fails to convert before wasting creative resources on a rewrite
02Identifying tracking failures and page-load drops masquerading as ad creative problems
03Determining whether high click-through rates with low conversions stem from weak offers or landing page disconnects