Public Evidence Lab / Dossier O-7377
Recurring need documented in 3 independent public source items.
First seen 2026-09-21 · Last updated 2026-11-06 · Recalculated daily
These observations describe collected samples, not platform-wide prevalence; they cannot establish whether a problem is widespread or accelerating. Collection scope changed on 09-16 and 09-27; monthly counts must not be read as trends.
Post title: Conversion tracking for google ads
4) Some other solution? Sounds silly but I am cons…
The public layer keeps only a minimal excerpt. Open the source for full context.
Post title: asset report shows far less data than campaign report. Why?
I’m running a tROAS App campaign (Google Ads, Phil…
The public layer keeps only a minimal excerpt. Open the source for full context.
Post title: Can someone explain this to me?
Last Tuesday shows the account spent $528.60 acros…
The public layer keeps only a minimal excerpt. Open the source for full context.
What this evidence does not show yet
To reach Payment-backed we still need:
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Scoring summary
Evidence confidence = strength × evidence volume × source diversity × payment × competition × trend × 10. Counts use independent content items; only first-hand pain, current spend, explicit willingness to pay and concrete feature requests affect the score. Repeated posts by one author are discounted. Scoring and status changes follow deterministic rules.
“Payment-backed” means first-hand payment evidence exists in the record. It does not mean the business is worth building. “Fading” is a recency tag shown alongside any evidence level, not a lower level. Read the full methodology.