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@Kajal_Aggarwal_Official: statistics and cleanliness index

Kajal Aggarwal 💃

Kajal Aggarwal is an Indian actress who works predominantly in Telugu and Tamil language films. https://adsly.me/@kajal_aggarwal_official Buy ads: https://telega.io/c/Kajal_Aggarwal_Official

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Grade A+ metrics look normal cleanliness index
data from 2026-10-15
Subscribers
10,862
Median views
34,159
ERR
314.5%
Posts sampled
40
Niche Movie
Post language English
Channel age 5 years

Data from 2026-10-15 — 23 days old.

Assessment summary

Photo gallery of Indian actress Kajal Aggarwal: shots from shoots, social outings, and vacations, almost no captions, all posts in English; the channel is 5 years 9 months old.

Over 42 days, median views grew from 13.9k to 34.2k, and by the share of subscribers who see a post, the channel outperforms all similar channels in the catalog — more views than subscribers. But it updates rarely: a new post appears about once every ten days, and about 83% of message numbers are missing. Placement is marked as questionable precisely because of this rare activity — there will be few impressions during the campaign period.

About the channel

The channel is dedicated to Indian actress Kajal Aggarwal: her photos are posted here — from shoots, social outings, vacations, and photo shoots. There are almost no captions; the format is single photos, occasionally a short video; all posts are in English, and the channel has been run since 2020.

In the catalog, other channels with photos of Indian actresses are nearby, for example @tamilactress_in: this channel is about twice as large by subscribers. Also listed among similar are channels about trading and beauty, but in content they are further away. By subscriber count, the channel is in the middle of the niche.

What it publishes:

  • Shots from events and photo shoots: the actress in evening dresses and dressy looks.
  • Vacation photos: shots by the sea and against panoramic interiors.
  • Ad inserts: rare posts tagged #ad about third-party services.

They post mainly at night and in the morning UTC, least often in the evening; there are no forwards from other channels in the feed. The feed is rare collections of ready-made photos with almost no text, so don't expect news about the actress here.

By subscribers, it ranks #20 of 33 channels in the Movie niche of the catalog.

What to pay attention to

More views than subscribers: ERR ≈ 314%

Views are higher than the subscriber count, and the other metrics are consistent with this: views fluctuate noticeably from post to post, and people react to posts. This happens when posts are read by non-subscribers too — via links, forwards, and search — or when there used to be more subscribers.

What grade A+ means

The metrics agree with each other: views and reactions are distributed as usual, and almost no signals lower the index.

Compared with similar channels

Compared with 5 Movie catalog channels whose metrics look normal. They are a similar size: 3,843 to 30,473 subscribers.

ERR (reach) higher than 5 of 5
@Kajal_Aggarwal_Official 314.5%
similar channels median 16.3%

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 Apr 24 to Oct 15. The dashed line is the median (34,159).

033K66KApr 24: 66,436 viewsMay 23: 43,330 viewsMay 28: 43,826 viewsJun 1: 45,086 viewsJun 17: 35,313 viewsJun 24: 39,866 viewsJul 6: 44,322 viewsJul 23: 37,317 viewsJul 28: 47,136 viewsAug 2: 39,621 viewsAug 13: 39,146 viewsAug 20: 39,572 viewsAug 30: 41,798 viewsSep 6: 41,675 viewsOct 4: 28,596 viewsOct 11: 24,913 viewsOct 17: 24,240 viewsOct 22: 24,765 viewsOct 28: 33,768 viewsNov 12: 31,029 viewsNov 18: 34,551 viewsNov 24: 36,271 viewsDec 23: 32,433 viewsJan 9: 33,695 viewsFeb 9: 26,167 viewsFeb 23: 32,996 viewsMar 3: 35,259 viewsApr 24: 18,638 viewsApr 30: 19,019 viewsMay 4: 18,850 viewsMay 10: 19,161 viewsMay 17: 19,796 viewsMay 27: 22,804 viewsJun 4: 26,265 viewsJun 10: 35,292 viewsJun 16: 39,461 viewsJun 22: 44,512 viewsSep 2: 27,167 viewsOct 15: 489 viewsOct 15: 416 views Apr 24Oct 15
  • post views
  • 2 posts newer than one day and still gaining views
  • median 34,159

Maximum: 66,436 views. Data as of Oct 15.

What scoring found in the view pattern

More views than subscribers: ERR ≈ 314%

Views are higher than the subscriber count, and the other metrics are consistent with this: views fluctuate noticeably from post to post, and people react to posts. This happens when posts are read by non-subscribers too — via links, forwards, and search — or when there used to be more subscribers.

Cleanliness-index history

3 checks for this channel.

050100Sep 2: index 50, grade DSep 2Oct 5: index 93, grade A+Oct 5Oct 15: index 93, grade A+Oct 15

Advertising outlook

Advertising placement: questionable.

Posts come out rarely, so an ad will struggle to get views.

About 12,268–24,534 people will see your post in the first 48 hours.

Reach of advertising posts

Too few advertising posts to compare: 0. 2 more are too fresh.

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 @Kajal_Aggarwal_Official

Does @Kajal_Aggarwal_Official show signs of fake engagement?

Channel purity index — 93 out of 100, grade A+, level “metrics are normal”: there are almost no deviations. What is behind views exceeding the subscriber count does not follow from the audit data.

What share of subscribers sees a post?

Median views are about 34 thousand with 10.9k subscribers, which is an ERR of about 314%. By this metric, the channel outperforms all similar channels in the catalog; such views could have accumulated from non-subscribers as well, and from when there were more subscribers.

Can I place ads here?

In the audit, the feasibility of placement is marked as questionable; the reason is that posts are published very rarely. The purity index is high, however: 93 out of 100, grade A+.

How the assessment was produced

Data source
Public Telegram data: posts, views, reactions, and channel metadata.
Date or snapshot
2026-10-15
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 @Kajal_Aggarwal_Official assessment dated 2026-10-15 uses 40 recent public posts. At that snapshot the channel had 10,862 subscribers, median post views were 34,159, ERR was 314.5%, and the cleanliness index was 93/100.
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.