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@KatrinaKanini: statistics and cleanliness index

Катрина Канини|Время на миллион

Операционный директор для экспертов. Выстраиваю систему операционных процессов и задач по маркетингу, контенту, продвижению. Нейро продюсирование экспертов и бизнеса. 20лет в рекламе ВК https://vk.com/tatakanini ЛС https://t.me/tatakanini

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Grade A metrics look normal cleanliness index
data from 2026-11-02
Subscribers
987
Median views
154
ERR
15.6%
Posts sampled
40
Niche Marketing & PR
Post language Russian
Channel age 4 years

Data from 2026-11-02 — 5 days old.

Assessment summary

Personal channel of an expert operations director: how to build processes, marketing and content, implement AI tools, and between that — notes about moving, networking events and the #планка challenge. Posts are rare — about 0.3 posts per day, last post 5 days ago.

A post is seen by a larger share of subscribers than in similar catalog channels: ERR 15.6% versus median 12.7%, and reactions — 18.46% of views with a group median of 1.37%. But the base is small and shrinking: over two months, subscribers went from 1044 to 987, and real reach is about 150 views per post; ads collect about the same (152 versus 157 for regular posts).

About the channel

The channel is run by an expert operations director: it covers how to build processes, marketing and content and implement AI tools, and between that — personal notes about moving, changing a surname and morning club calls. Format — photos and videos with captions plus text posts, all in Russian; the channel is 4 years 4 months old.

In the catalog, next to it are @neuralforbusiness about neural networks for business and @startup_club24 about startups: both are larger by subscribers, but here a larger share of subscribers sees a post — ERR 15.6% versus 0.5% and 8.6%. @hr_katerinaparipa about HR is smaller, and the share of those reading a post there is lower — 11.2%.

What it publishes:

  • Analyses for experts: why a blog does not bring leads and what to do with content and promotion.
  • AI tools: a landing page with funnels, a smart CRM database, an AI assistant, setup via voice control.
  • Personal notes: moving, changing a surname, a break from social media, the #планка challenge.
  • Networking: announcements of business introductions and an invitation to talk about yourself on the channel.

Posts come on weekdays (92%), more often in the afternoon and morning. There are no reposts from other channels, ads — about a fifth of posts; by subscribers this is one of the smallest channels in the niche. Posts are rare, about once every three days, short notes and videos.

By subscribers, it ranks #16 of 16 channels in the Marketing & PR niche of the catalog.

What to pay attention to

Some messages deleted: ≈46% of numbers missing

The numbering of the channel's recent messages has many gaps — some of them were deleted. The count is by message numbers, not publications: each photo in an album has its own number. Deleted posts are not visible, so the remaining ones give only a partial picture of the channel.

What grade A means

Metrics look normal: no signals lowering the index were found, or they are weak.

Channel content

📣 Heavy advertising load

A noticeable part of posts sells the author's services: AI storefronts, consultations, a paid intensive, invitations to write in DMs; there is a review of an outside expert with a link.

Compared with similar channels

Compared with 15 Marketing & PR catalog channels whose metrics look normal. There are too few channels of a similar size, so the whole niche is used: 9 to 652,998 subscribers.

ERR (reach) higher than 9 of 15
@KatrinaKanini 15.6%
similar channels median 12.6%
Reactions per 100 views higher than 13 of 13
@KatrinaKanini 18.46
similar channels median 1.37

This is not a niche norm: only catalog channels are included. A high ERR is not always a plus: if the other metrics do not support it, the index goes down.

Dynamics and anomalies

Scroll horizontally to see the full charts.

Views by post

The latest 40 posts with views, from May 26 to Oct 28. The dashed line is the median (154).

0129259May 26: 94 viewsMay 27: 95 viewsMay 27: 82 viewsMay 27: 93 viewsMay 27: 109 viewsMay 27: 108 viewsMay 27: 132 viewsMay 28: 178 viewsMay 28: 190 viewsJun 3: 150 viewsJun 4: 154 viewsJun 4: 143 viewsJun 5: 169 viewsJun 8: 153 viewsJun 8: 134 viewsJun 8: 154 viewsJun 9: 162 viewsJun 12: 143 viewsJun 12: 155 viewsJun 12: 176 viewsJun 18: 189 viewsJun 20: 160 viewsJun 21: 166 viewsJun 22: 174 viewsJun 24: 176 viewsJun 24: 194 viewsJun 25: 167 viewsJun 25: 193 viewsJul 4: 151 viewsJul 8: 129 viewsJul 8: 180 viewsJul 8: 163 viewsJul 14: 157 viewsJul 17: 123 viewsJul 17: 129 viewsJul 17: 259 viewsAug 27: 145 viewsSep 3: 168 viewsSep 7: 194 viewsOct 28: 46 views May 26Oct 28
  • post views
  • median 154

Maximum: 259 views. Data as of Nov 2.

What could not be calculated

View build-up not assessed: there were no posts newer than one day.

Cleanliness-index history

3 checks for this channel.

050100Sep 8: index 50, grade DSep 8Oct 2: index 94, grade A+Oct 2Nov 2: index 81, grade ANov 2

Advertising outlook

Advertising placement: reasonable.

Not enough posts for a forecast.

Reach of advertising posts

Advertising posts have a median of 152 views versus 157 for regular posts — 3% lower.

Based on 8 advertising and 32 regular posts older than two days.

Without an ad label: 1 post.

Buy advertising

Telegram ads are sold on these marketplaces — they have channel catalogs, prices, and checkout.

We don't sell ads. This channel may not be listed there.

Where to buy advertising

Affiliate links: we get a commission. It never affects the channel's score.

Questions about @KatrinaKanini

Is the channel clean? What does the cleanliness index show?

The cleanliness index is 81 out of 100, grade A, level “metrics within norm.” Among the deviations: some messages have been deleted — about 46% of numbers are missing.

What share of subscribers sees a post?

ERR is about 15.6%: with 987 subscribers, the median views is 154. Similar catalog channels have a median of 12.7%.

Is it worth advertising here?

Ad placement is marked as justified. Ad posts collect about the same as regular ones: median 152 versus 157 views.

How the assessment was produced

Data source
Public Telegram data: posts, views, reactions, and channel metadata.
Date or snapshot
2026-11-02
Sample
The latest 40 public posts available at check time.
Calculation method
TG Inspector calculates metrics from the saved snapshot and combines independent signals into a deterministic 0–100 cleanliness index.
Factual result
The @KatrinaKanini assessment dated 2026-11-02 uses 40 recent public posts. At that snapshot the channel had 987 subscribers, median post views were 154, ERR was 15.6%, and the cleanliness index was 81/100.
Limitations
This is a probabilistic assessment based on public data: it describes metrics, not the owner's actions, and is not a real-time measurement.

Full methodology and interpretation rules

This automated assessment is probabilistic: it describes the channel's public metrics, not its owner's actions. The index and grade are calculated from public data and are not changed on request. Channel owners can request removal of the page — t.me/obsessed_with_ai.