Public Evidence Lab / Dossier O-15821
Recurring need documented in 3 independent public source items.
First seen 2026-11-04 · 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: My winning CBO went from 2.5+ ROAS to 0.53. New ads, old ads, fresh CBOs, turning winners back on: nothing works. What am I missing?
€349 got me 9 purchases in my best week. €317 got …
The public layer keeps only a minimal excerpt. Open the source for full context.
Post title: 1M Follower Instagram Account Ruining Performance?
Our performance has been awful on this account ent…
The public layer keeps only a minimal excerpt. Open the source for full context.
Post title: Advertising with impressions only
New to Ecom. I’ve been doing some research into me…
The public layer keeps only a minimal excerpt. Open the source for full context.
What this evidence does not show yet
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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.