Public Evidence Lab / Dossier O-8038
Collected sample: 7 independent content items across 1 source families. Known publication dates: 2026-09-26 — 2026-11-03.
First seen 2026-09-26 · Last updated 2026-11-13 · 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: Low clicks, High CPC
Currently after reverting it back, I’m stuck at 1-…
The public layer keeps only a minimal excerpt. Open the source for full context.
Post title: Feed-only pmax (low budget) just not performing any more
I have an e-commerce store and my pmax campaigns h…
The public layer keeps only a minimal excerpt. Open the source for full context.
Post title: Campaign drop PMax FO
A week went by and I noticed insane poor results f…
The public layer keeps only a minimal excerpt. Open the source for full context.
Post title: Anyone else seeing their ROAS tank after Google pushed another Smart Bidding update
My campaigns used to hit 4.2x pretty consistently …
The public layer keeps only a minimal excerpt. Open the source for full context.
Post title: Any tips to help after update?
Pmax campaigns, US for Shopify store. Most campaig…
The public layer keeps only a minimal excerpt. Open the source for full context.
Post title: Massive decline in campaign after the august 17th update
After Aug 17, Google’s own “Review your campaign t…
The public layer keeps only a minimal excerpt. Open the source for full context.
Post title: Seeing ROAS drop since new tRoas change
Anyone else seeing that ROAs dropped significative…
The public layer keeps only a minimal excerpt. Open the source for full context.
What this evidence does not show yet
This dossier already carries first-hand payment evidence. What it still cannot tell you: market size, how reachable these people are, or what it costs to acquire them.
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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.