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@pps_media: statistics and cleanliness index

П.П.С: После прочтения снять

Здесь Сценарное направление издательского холдинга Эксмо-АСТ рассказывает об экранизациях

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Grade A metrics look normal cleanliness index
data from 2026-10-19
Subscribers
889
Median views
968
ERR
108.9%
Posts sampled
40
Niche Movie
Post language Russian
Channel age 5 months

Data from 2026-10-19 — 19 days old.

Assessment summary

The feed of the screenwriting division of Eksmo-AST about screen adaptations: news about premieres and castings, book pitchings and open calls for authors, webinars about screenwriting and pitching. The channel is four months old, but it keeps a higher share of subscribers who see a post than most similar channels in the catalog: ERR 108.9% vs. median 53.5%.

The spread of views is large: the announcement of a pitching by top authors gathered 12 times more than the median, while ordinary posts stay around it. With 0.4 posts per day and 12% forwards, there is no third-party advertising in the feed at all, so the reach of a placement here will be closer to the views of ordinary posts than to the peak numbers of selected announcements.

About the channel

“P.P.S: Shoot After Reading” runs the screenwriting division of the Eksmo-AST publishing group — a channel about how books turn into films and series. Here they announce premieres and castings, hold pitches for book licenses and open calls for authors, and invite people to webinars and courses. They write in Russian, mostly with photo cards and text, less often with video and forwards; the channel is four months old.

In the catalog it stands next to @statzvezdoi and @moricinema: the first has about two thousand subscribers, the second more than forty thousand, and this one fewer than a thousand. At the same time, the share of subscribers who see a post is higher for this channel than for @statzvezdoi and higher than for @moricinema.

What it publishes:

  • Adaptation news: the rubric “Good news from the world of adaptations” — premiere dates, castings, purchased book rights.
  • Pitchings and open calls: accepting applications from authors and reviewing the results of story selection.
  • Author training: webinars and courses from the Eksmo Writers’ Academy on screenwriting and pitching.

They post almost only on weekdays, more often during the day; sometimes they forward posts from “Yulia Shamporova”, “BK Media”, and “KinoEkran”, while the channel itself forwards @docstreamhub. By subscriber count, this is one of the smallest channels in the “Cinema” niche, so the feed is short working notes from a small team without a stream of third-party advertising.

By subscribers, it ranks #31 of 33 channels in the Movie niche of the catalog.

What grade A means

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

Compared with similar channels

Compared with 10 Movie catalog channels whose metrics look normal. They are a similar size: 662 to 2,375 subscribers.

ERR (reach) higher than 8 of 10
@pps_media 108.9%
similar channels median 55%
Reactions per 100 views higher than 6 of 10
@pps_media 1.2
similar channels median 1.02

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 Jul 15 to Oct 16. The dashed line is the median (968).

05.8K12KJul 15: 643 viewsJul 16: 750 viewsJul 17: 1,060 viewsJul 21: 939 viewsJul 29: 856 viewsAug 4: 1,046 viewsAug 7: 3,921 viewsAug 12: 1,127 viewsAug 13: 1,332 viewsAug 14: 1,269 viewsAug 18: 8,314 viewsAug 19: 1,222 viewsAug 20: 964 viewsAug 20: 1,021 viewsAug 21: 1,075 viewsAug 23: 1,164 viewsAug 26: 945 viewsAug 27: 1,014 viewsAug 27: 972 viewsSep 1: 927 viewsSep 2: 726 viewsSep 3: 794 viewsSep 4: 876 viewsSep 7: 937 viewsSep 8: 898 viewsSep 8: 1,281 viewsSep 14: 943 viewsSep 17: 1,005 viewsSep 18: 1,023 viewsSep 21: 3,996 viewsSep 23: 908 viewsSep 25: 1,456 viewsOct 1: 958 viewsOct 2: 885 viewsOct 9: 1,132 viewsOct 9: 814 viewsOct 12: 11,634 viewsOct 15: 379 viewsOct 15: 394 viewsOct 16: 291 views Jul 15Oct 16
  • post views
  • median 968

Maximum: 11,634 views. Data as of Oct 19.

What could not be calculated

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

Cleanliness-index history

2 checks for this channel.

050100Sep 9: index 98, grade A+Sep 9Oct 19: index 89, grade AOct 19

Advertising outlook

Advertising placement: reasonable.

Not enough posts for a forecast.

Reach of advertising posts

Too few advertising posts to compare: 2.

Without an ad label: 2 posts.

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 @pps_media

Does @pps_media have inflated metrics?

According to our check, the purity index is 89 out of 100, grade A, level “metrics are normal.” We found no signals that would lower the index, but the channel’s audience is small, so confidence in the assessment is low.

What is the reach of the channel’s posts?

ERR is about 108.9%: median views are 968 with 889 subscribers, meaning there are more views than subscribers. The share of subscribers who see a post is higher than for most similar channels in the catalog.

Can advertising be placed here?

The feasibility of placement is marked as “justified.” There were no ad posts in the sample, so the reach of advertising publications was not calculated separately.

How the assessment was produced

Data source
Public Telegram data: posts, views, reactions, and channel metadata.
Date or snapshot
2026-10-19
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 @pps_media assessment dated 2026-10-19 uses 40 recent public posts. At that snapshot the channel had 889 subscribers, median post views were 968, ERR was 108.9%, and the cleanliness index was 89/100.
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.