Fake engagement check for @notypicmarketing
ок, согласовано — public reach metrics and manipulation-risk assessment dated 2026-08-15.
Истории из маркетинга, медиа и SMM, заслуживающие вашего внимания. По рекламе: @justcage Предложка: @notypicalmarketing_bot Работаем с @bidfox_news, @Tgpodbor_official, @swaymedia, @Spiral_Yuri РКН: https://clck.ru/3GhxTN @alfapolo
Evidence snapshot
The @notypicmarketing assessment dated 2026-08-15 uses 40 recent public posts. At that snapshot the channel had 352,571 subscribers, median post views were 7,947, ERR was 2.3%, and the cleanliness index was 76/100.
Source: public Telegram counters captured during the saved check. The result can change after a new snapshot.
Advertising outlook
Advertising placement: not recommended.
A small share of subscribers sees each post, limiting likely advertising reach.
Estimated 48-hour reach: 6,890–7,579 views.
What grade B means
The channel is generally clean, with a few weak warning signals. Run a fresh check before a large advertising purchase.
This page shows the saved result dated 2026-08-15. The bot collects a new snapshot for a current report.
Monitor this channel
Monitoring reruns the assessment and sends an alert when ERR drops, subscribers change abnormally, or the cleanliness index moves.
Monitor @notypicmarketingQuestions about @notypicmarketing
What does grade B mean for @notypicmarketing?
The channel is generally clean, with a few weak warning signals. Run a fresh check before a large advertising purchase.
What is the ERR of @notypicmarketing?
ERR is 2.3%. Median post views equal 2.3% of the channel's 352,571 subscribers. ERR describes observed reach, not proof that every remaining subscriber is fake.
How does TG Inspector calculate the cleanliness index?
The 76/100 index combines several public-data signals, including reach relative to audience size, audience behavior, and channel metadata. It is a probabilistic assessment, not proof of intentional manipulation.
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Other checked channels
This automated assessment is probabilistic. It describes statistical signals in public data and does not claim intentional manipulation. Channel owners can run a new check or contact support to request removal.