Opportunity ledger / Dossier O-0023

CorroboratedOPPORTUNITY DOSSIER · O-0023

TikTok account reach drops and shadow ban diagnosis

TikTok creators and e-commerce teams hit unexplained reach drops with no clear cause from support, leaving content strategies stuck.

First seen 2026-07-03 · Last updated 2026-08-28 · Recalculated daily

14.5
Evidence confidence, not a return forecast
18
Independent source items, deduplicated by post
1
Public source families
0
Payment evidence: current spend or explicit intent
ProblemSome TikTok accounts nearly lose all recommended reach without any clear warning. Support replies do not identify the actual reason, leaving creators and agencies to guess what changed and how to recover.
People affectedTikTok creators, creator agencies, and e-commerce teams running content accounts
Named alternativesTikTok
TopicsTikTok operationsreach diagnosisaccount recoveryshadow ban
Weekly mentions · 12 weeks
06-0807-0608-0308-24

Trend factor ×0.7, capped at 2.0.

Representative evidence

2 public excerpts · 18 items in the full chain
Product complaint★★★★☆First-hand pain

Post title: Help I'm shadowbanned

My account has been steadily getting around 300-1k…

The public layer keeps only a minimal excerpt. Open the source for full context.

Reddit2026-08-24View source ↗
Pain★★★★☆First-hand pain

Post title: All my videos suddenly getting 0 views on TikTok

in the last month, all my videos stopped getting v…

The public layer keeps only a minimal excerpt. Open the source for full context.

Reddit2026-08-23View source ↗
★★★★☆
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What this evidence does not show yet

To reach Payment-backed we still need:

  • a first-hand payment statement — either someone naming what they already pay, or 2 more statement(s) with a specific amount they would pay (we have 0)
  • renewed mentions — the recent trend is below the promotion bar

No first-hand payment statement is on record here, so this page carries no pricing suggestion. A price with no payment evidence behind it is a guess wearing a number.

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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.