کپیرایتینگ (تبلیغنویسی)، تبلیغات و بازاریابی محتوایی با نگاه به زبان و ادبیات
تبلیغ در کانال / پروژه👇
@Poshtiban_content
ایدهپردازی تبلیغاتی برای شما👇
https://t.me/content_life/1389
لینکدین👇
https://www.linkedin.com/company/mohtavazist/
Created
Between 1 January 2022 and 31 March 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
4 measurements spanning 6 days, net +32. 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 7,688–7,730 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 11:29
7,725
+9
9 Aug 2026, 16:04
7,716
+19
6 Aug 2026, 12:20
7,697
+4
6 Aug 2026, 03:22
7,693
first reading
Engagement
37 posts held, back to 28 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 11 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
12.9%
avg views ÷ 7,725 subscribers
Avg views / post
995
31 posts measured
Reaction rate
1.12%
reactions ÷ views · ER floor
Posts in window
37
of 37 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 12 August 2026
Posts held
37 (28 July 2026 – 12 August 2026)
Views total
30,841
Reactions total
346
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 17:11 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.
What this channel posts
Photos
859
Videos
198
Links
967
Lifetime counters from Telegram’s own channel header, read 12 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
51m 30s
Average length
51m 30s
Measured directly from 1 video with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
322 reactions across 27 posts, in 9 distinct kinds. The most used accounts for 37.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
119
37.0%
❤
97
30.1%
👏
38
11.8%
🔥
23
7.14%
💔
16
4.97%
🤔
16
4.97%
😍
6
1.86%
😢
6
1.86%
🙏
1
0.311%
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 31 of the 37 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 346reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 37 most recent posts we hold, published 28 July 2026 to 12 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.
Share of Search
سهم برند شما از تقاضای جستوجویی بازار
اگر بدانیم در یک بازار، مردم چقدر نام هر برند را جستوجو میکنند، میتوانیم بفهمیم کدام برند سهم بیشتری از توجه و تقاضای جستوجویی بازار را به خود اختصاص داده است.
فرمول ساده است:
Share of Search =
جستوجوهای برند شما ÷ مجموع جستوجوهای برندهای مورد بررسی × ۱۰۰
مثلاً اگر در یک ماه، از میان ۱ میلیون جستوجوی برندهای فروشگاههای آنلاین لوازم خانگی، ۴۵۰ هزار جس…
♨️ آخرین فرصت — دریافت بیش از ۶۰۰ آموزش ۱۱۹ هزار تومنی از فرادرس!
⭐️ طرح «شگفتی آموختن»، فرصتی ویژه برای یادگیری...
✅ جدیدترین آموزشهای اضافه شده به طرح شگفتی 👇
🔶 طراحی پوستر، پست و استوری با کانوا Canva
🔶 آموزش عکاسی با موبایل – از مبتدی تا حرفه ای
🔶 سیستم عامل لینوکس Linux – مقدماتی
🔶 وردپرس برای راه اندازی سایت + پروژه ساخت فروشگاه
🔶 آموزش ICDL – دوره جامع مهارت هفتگانه
➕ لیست ۲۰۰ آموزش جدید - [کلیک کنید]…
آگهی محیطی بیمهٔ کارآفرین
بازی با لبهٔ تیغ احساسات
فرشید شهیدی کپیرایتر پرسابقه و ماکان مهرپویا کارگردان تبلیغاتی هر دو به این آگهی ایراد گرفتهن، یکی در لینکدین و دیگری در وبسایت ایرانادز.
ما هم توی نظرهای نوشتهٔ قبلی مفصل دربارهٔ بار معنایی واژگان بیمهای حرف زدیم.
ایندفعه شما بگین که با دیدن این آگهی چه حسها و فکرهایی در ذهنتون ایجاد میشه؟
#نمونه_کاوی
#تبلیغات
🌱@Content_Life | محتوازیست
دقت کردهید که بیشتر محصولات بیمهای، نامگذاریهایی برپایهٔ ترس یا فقدان دارن؟!
بیمهٔ حوادث
بیمهٔ ازکارافتادگی
بیمهٔ بازنشستگی
بیمهٔ بیکاری
بیمهٔ عمر (دربرابر «بیمهٔ زندگی»)
و باز توجه دارید که همین بار معنایی چهقدر داره روی روان مخاطب خدمات بیمه اثر میذاره؟
البته من میتونم ریشههای حقوقی و تاریخی این نامگذاریها رو ربط بدم به نامهای انتخاب/ترجمهشده، اما
برای رونق این صنعت باید علاوه بر کارهای اساسی، بِهگو…
پروندهٔ باز کمپین اسنپپی
یه یادداشت دربارهٔ کمپین جدید اسنپپی خوندم توی وبسایت Dm board از هادی عیار که میگفت:
هر تبلیغی قرار نیست با یه خطکش ثابت سنجیده بشه. مثلاً اینکه «پیام باید همون بار اول کاملاً فهمیده بشه» یا «زبان تبلیغ نباید از قواعد معمول فاصله بگیره».
نویسنده معتقده توی کمپین جدید اسنپپی، این شکستنِ کلمات اتفاقاً بخشی از ایدهست؛
چون همونطور که اسنپپی پرداخت یه مبلغ بزرگ رو به چند پرداخت کوچیک ت…
خدمات تخصصی محتوازیست
فروش و برندسازی با قدرت واژهها
🔸طراحی شعار برند؛ شعار کمپین
🔸طراحی نام برند، کمپین، رویداد و...
🔸طراحی سند هویت کلامی (لحن و صدای) برند
🔸طراحی هدلاین؛ تیتر اصلی تبلیغات
🔸نگارش پستهای لینکدین سازمانها
🔸نگارش متنهای تجاری (بروشور، کاتالوگ، وبسایت و...)
گامهای انجام پروژه رو اینجا ببینید👇
hossein-vojdani.ir/contact
هزینه هر پروژه بسته به بریف و نیازهای پروژه متغیر خواهد بود.
🌱@Content_Li…
کپی رایتینگ با محتوازیست pinned «به بهانهٔ این نوشته بذارید یه چیزی رو بیپرده بهتون بگم! محتواهای آموزشی کمتر از محتواهای عامهپسند و احساسی دیده میشن. ناامید نشید! عوضش وقتی پست آموزشی میذارید کمکم برند شخصیتون بهعنوان آدم اهل دانش شناخته میشه، دنبالکنندهٔ هدفمند میگیرید و حتی…»
🧠 مترجم اختصاصی ChatGPT بالاخره راه اندازی شد | همین حالا گوگل ترنسلیت رو بریز دور
📰 تا قبل از این، برای ترجمه متن باید داخل خود ChatGPT پرامپت مینوشتی؛ اما حالا OpenAI یک صفحه اختصاصی برای ترجمه راه انداخته که از بیش از ۴۰ زبان، از جمله فارسی پشتیبانی میکنه ؛ چیزی که این مترجم رو جذاب میکنه فقط ترجمه نیست؛ بعد از ترجمه هم میتونی با یک کلیک متن رو:
• روان تر کنی.
• لحنش رو رسمی تر کنی.
• یا حتی طوری بازنویسیش کنی …
🗣اتحادیه ناشران تهران از غلطهای املایی روی تابلوهای شهری انتقاد کرد
▪️ اتحادیه ناشران و کتابفروشان تهران با بیان اینکه غلطهای املایی و نگارشی در نوشتههای شهری زیاد شده، از شهرداری تهران خواست تا آنها را اصلاح کند.
▪️ این اتحادیه گفته فضای شهری «بزرگترین رسانه آموزشی شهر» است و غلطهای روی تابلوها میتواند به عادیشدن اشتباهات نوشتاری منجر شود.
▪️ این اتحادیه همچنین درباره حواسپرتی رانندگان و احتمال افزایش تصا…
کلیشهگشایی از «خوب» و «بد»
✍️ از کتاب «بهتر بنویسیم» اثر رضا بابایی؛ فصل چهارم: #زیبانویسی
صفتهایی مانند «خوب» و «بد» به دلیل ظرفیتی که دارند، برای هر موصوفی به کار میروند. میتوان گفت «خدای خوب» و «کفش خوب».
اما بهتر است برای هر موصوفی، صفتی بیاوریم که بهنسبت خاص او است و برای غیر او کمتر به کار میرود. مثلاً «خدای مهربان»، «کفش راحت و بادوام»، «کتاب خواندنی».
شما هم پیشنهاد صفتهای تازه برای واژههای مختلف …
👍9🔥6❤1
Showing the 12 most recent of 37 posts we hold for @content_life. 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.
Citation-graph rank
Citation-graph rank — 132,339 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Mentions
Named by 12 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
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.
“کپی رایتینگ با محتوازیست” (@content_life), 7,725 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/content_life.
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.