4 measurements spanning 7 days, net +9. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 4,600–4,616 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 23:55
4,613
-1
10 Aug 2026, 07:11
4,614
+12
7 Aug 2026, 06:53
4,602
-2
6 Aug 2026, 08:31
4,604
first reading
Engagement
22 posts held, back to 9 July 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 7 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
32.1%
avg views ÷ 4,613 subscribers
Avg views / post
1,480
8 posts measured
Reaction rate
0.676%
reactions ÷ views · ER floor
Posts in window
12
of 22 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
What these figures were computed from
Window
Rolling 30 days · latest post in window 10 August 2026
Posts held
22 (9 July 2026 – 10 August 2026)
Views total
11,828
Reactions total
80
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 05:43 UTC
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
Reaction mix
105 reactions across 13 posts, in 6 distinct kinds. The most used accounts for 50.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
53
50.5%
👍
36
34.3%
❤
12
11.4%
👏
2
1.90%
👌
1
0.952%
🥰
1
0.952%
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 13 of the 22 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 105reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 22 most recent posts we hold, published 9 July 2026 to 10 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
اینستاگرام رو به Google Search Console وصل کنید! 👀
تا الان Search Console رو بیشتر برای بررسی عملکرد سایت و محتوای وبلاگ در نتایج گوگل میشناختیم؛ اما گوگل قابلیت جدیدی به اسم Platform Properties اضافه کرده که کاربردش رو جذابتر کرده!
حالا اگر پست یا Reel اینستاگرام شما در نتایج گوگل نمایش داده بشه، میتونید داخل Search Console ببینید:
🔸 کدوم محتوا بیشترین Click و Impression رو گرفته؟
🔸 کاربرها با سرچ چه Queryهایی…
وقتی پارامترهای تبلیغاتی گم میشن، گوگل بهتون خبر میده❗️
گوگل در آپدیت ۳۰ جولای ۲۰۲۶ یک قابلیت Diagnostic جدید به Google Analytics 4 اضافه کرده که میتونه یکی از مشکلات مهم در اندازهگیری کمپینهای تبلیغاتی رو شناسایی کنه:
حذف شدن پارامترهای تبلیغاتی از URL.
🔍 ماجرا چیه؟
وقتی کاربر از طریق تبلیغات گوگل وارد سایت میشه، ممکنه پارامترهایی مثل GBRAID و gad_* همراه URL منتقل بشن.
این پارامترها سرنخهایی در اختیار گوگل…
🔍 تفاوت User Acquisition و Traffic Acquisition در GA4 چیه؟
در نگاه اول User Acquisition و Traffic Acquisition خیلی شبیه به نظر میرسن؛ اما هرکدوم بخش متفاوتی از مسیر ورود کاربر رو بررسی میکنن❗️
🔴 User Acquisition
این گزارش به اولین منبعی نگاه میکنه که کاربر رو برای نخستینبار وارد سایت کرده. Dimensionهای این گزارش هم با First user شروع میشن.
🔴 Traffic Acquisition
این گزارش منبع ورود هر Session رو بهصورت جداگان…
⚠️ ۳ اشتباه رایج در UTMگذاری که میتونه گزارشهای GA4 رو بههم بریزه❗️
ست کردن UTM در ظاهر کار سادهایه؛ اما همین کار ساده اگر درست انجام نشه، میتونه دادههای کمپین رو نامرتب کنه و حتی باعث بشه ترافیک به کانال اشتباهی نسبت داده بشه.
1️⃣ نامگذاری ناهماهنگ
برای GA4 این دو مقدار با هم فرق دارن:
Instagram
instagram
همین موضوع درباره email، e-mail هم صدق میکنه. در نتیجه، ممکنه دادههای یک کمپین در چند ردیف مختلف پ…
دوره جامع GA4 + Tag Manager🔥
خیلی از کسبوکارها دیتا جمع میکنن؛
اما هنوز نمیدونن کدوم کانال واقعاً فروش میسازه، کاربر کجای مسیر خرید خارج میشه و چرا بعضی کمپینها نتیجه نمیدن.
توی این دوره یاد میگیری زیرساخت اندازهگیری سایت رو اصولی بسازی، رفتار کاربران رو دقیق ردیابی کنی و از دادهها برای بهبود کمپینها، قیف فروش و نرخ تبدیل استفاده کنی.
در طول دوره یاد میگیرید:
🔸 طراحی Measurement Plan، Customer Journey
…
امروز آخرین فرصت ثبتنام تکدورههاست!🔥
⏳ثبتنام تکدورههای آنالیتیپس فقط تا پایان امروز امکانپذیره و بعد از اون، تمام تکدورهها از سایت حذف میشن.
اگر یادگیری یک مهارت مشخص مدتهاست توی برنامهتونه، امروز آخرین فرصته که میتونید با تخفیف ویژه شروعش کنید.
💳 برای پرداخت راحتتر هم میتونید هزینه تکدورهها رو با استفاده از اعتبار دیجیپی، در ۴ قسط پرداخت کنید.
👈 مشاهده تکدورهها و ثبتنام:
🔗 B2n.ir/backtolearn
🤖 دوره اتومیشن سوشال با ManyChat
خیلی از فرصتهای فروش و لیدهایی که توی اینستاگرام از دست میرن، فقط به خاطر دیر جواب دادن یا نداشتن ارتباط درست با کاربره!
توی این دوره یاد میگیری چطور با ManyChat اتومیشنهایی طراحی کنی که هم تعامل با کاربران رو حرفهایتر کنن، هم فرآیند فروش و لیدجنریشن رو هوشمندتر جلو ببرن.🔥
از پاسخهای خودکار و FAQ گرفته تا کمپینهای فروش و تعامل، همهچیز کاملاً کاربردی و پروژهمحور آموزش داده …
دوره طراحی کمپینهای دیجیتال🔥
پشت هر کمپین موفق، فقط خلاقیت یا بودجه زیاد نیست؛ مجموعهای از تصمیمهای درست، تحلیل دقیق و شناخت رفتار مخاطبه که نتیجه نهایی رو میسازه.
توی این دوره یاد میگیری چطور کمپینهای دیجیتال رو طراحی و مدیریت کنی؛ از انتخاب استراتژی گرفته تا بودجهبندی، مدیاپلن، اجرای کمپین و تحلیل نتایج. ✔️
👈همهچیز با بررسی نمونههای واقعی بازار آموزش داده میشه تا بهتر متوجه بشی چرا بعضی کمپینها وایرال…
🔥5❤1
Showing the 12 most recent of 22 posts we hold for @analytips. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
پادکست پلی لیست|Playlist @Playlistpodcas · 152,133 Telegram ranks this channel #66 of 95 here — alongside 94 others — read 12 August 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 12 August 2026 — this
entry's latest reading, not the date you are reading this.
“Analytips آنالیتیپس” (@analytips), 4,613 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/analytips.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.