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@ClubChina2026: statistics and cleanliness index

Система выгодного Китая | Лила Борлакова

От выгодных покупок до стабильного дохода на Китае

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Grade A+ metrics look normal cleanliness index
data from 2026-10-10
Subscribers
5,262
Median views
732
ERR
13.9%
Posts sampled
40
Niche Business & startups
Post language Russian
Channel age 2 years

Data from 2026-10-10 — fresh.

Assessment summary

This is an author-run channel about shopping and doing business with China: personal notes about products alternate with active promotion of training. ERR is higher than that of similar catalog channels in the comparison, but reactions account for a small share of views; third-party spam and self-promotion have been noted in the comments.

There were no advertising posts in the sample, so their reach was not measured. The last post was published 102 days ago — the channel has been inactive for a long time, and this pause is specifically cited as the reason placement may not be worthwhile.

About the channel

This is a Russian-language author-run channel about shopping and doing business with China. Lila Borlakova writes about finding suppliers, orders, prices, and procurement training; posts include personal stories, photos, colorful cards, and videos. In the sample, photos make up most of the posts, while text notes are less common. The channel is 2 years and 2 months old.

There is a channel on a similar topic in the catalog, @chinaviktoria: it also covers doing business with China and showcases purchases, and has more subscribers than this channel.

What it publishes:

  • Orders and prices: prices for goods in China and Russia are compared, including prices for shoes.
  • Finding suppliers: the author talks about factories and purchasing, as well as how to navigate Chinese marketplaces.
  • Procurement training: announcements about enrollment, pricing plans, and contacting managers are published.

Based on the collected sample, posts were published about once every two days, mostly during the day and on weekdays; a website link appears in four posts, and there were no forwards from other channels. The feed consists mainly of photos with detailed captions and training offers, rather than reposts.

By subscribers, it ranks #61 of 73 channels in the Business & startups niche of the catalog.

What to pay attention to

Third-party spam in the comments

The comments look like spam blasts and self-promotion by unrelated accounts. They are not posted on behalf of the channel and do not affect the cleanliness index. Moderation or anti-spam measures in the comments could help.

What grade A+ means

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

Channel content

📣 Heavy advertising load

The sample shows notable promotion of the author's own training: announcements about cohorts and pricing plans, calls to sign up, and prompts to contact managers.

Compared with similar channels

Compared with 45 Business & startups catalog channels whose metrics look normal. They are a similar size: 1,779 to 13,854 subscribers.

ERR (reach) lower than 24 of 45
@ClubChina2026 13.9%
similar channels median 16.3%
Reactions per 100 views lower than 31 of 42
@ClubChina2026 0.49
similar channels median 0.81

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

Views by post

The latest 40 posts with views, from Apr 7 to Jun 30. The dashed line is the median (732).

05061KApr 7: 941 viewsApr 9: 878 viewsApr 11: 963 viewsApr 16: 825 viewsApr 23: 738 viewsApr 24: 711 viewsApr 27: 734 viewsApr 29: 785 viewsApr 29: 731 viewsMay 1: 774 viewsMay 3: 666 viewsMay 3: 697 viewsMay 3: 673 viewsMay 3: 737 viewsMay 3: 845 viewsMay 11: 1,012 viewsMay 15: 636 viewsMay 15: 632 viewsMay 15: 534 viewsMay 15: 542 viewsMay 15: 574 viewsMay 15: 622 viewsMay 15: 678 viewsMay 15: 754 viewsMay 15: 770 viewsMay 20: 804 viewsMay 26: 673 viewsMay 27: 780 viewsMay 31: 829 viewsJun 2: 787 viewsJun 2: 756 viewsJun 4: 664 viewsJun 6: 574 viewsJun 8: 615 viewsJun 12: 562 viewsJun 15: 569 viewsJun 15: 519 viewsJun 18: 609 viewsJun 20: 744 viewsJun 30: 825 views Apr 7Jun 30
  • post views
  • median 732

Maximum: 1,012 views. Data as of Oct 10.

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.

050100Oct 10: index 100, grade A+Oct 10Oct 10: index 100, grade A+Oct 10

Advertising outlook

Advertising placement: not recommended.

The channel has gone quiet — ask the owner when the next post is due.

Not enough posts for a forecast.

Reach of advertising posts

No advertising posts among the latest 40.

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 @ClubChina2026

How are the channel metrics assessed?

Cleanliness index — 100/100, grade A+, status “metrics within normal range”.

What share of subscribers does a post reach?

Median views — 732, ERR — about 13.91% of the number of subscribers.

What does the note about advertising suitability mean?

Placement is marked as questionable because the channel has been inactive for a long time: the last post was published 102 days ago. The reach of advertising posts was not calculated — none were found in the sample.

How the assessment was produced

Data source
Public Telegram data: posts, views, reactions, and channel metadata.
Date or snapshot
2026-10-10
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 @ClubChina2026 assessment dated 2026-10-10 uses 40 recent public posts. At that snapshot the channel had 5,262 subscribers, median post views were 732, ERR was 13.9%, and the cleanliness index was 100/100.
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/TGinspector_ru.