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Channel

DeepS​ales | AI Sales Intelligence

@deepsales_uz

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Polls · Citations · Cite this entry

422subscribers

+8 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1003195510385
TypeChannel
Username@deepsales_uz
CreatedBetween 1 October 2025 and 31 December 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live14 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/deepsales_uz

Growth

4144224187 August 2026 — 414 subscribers8 August 2026 — 414 subscribers14 August 2026 — 422 subscribers7 August 202614 August 2026
3 measurements spanning 7 days, net +8. 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 413–423 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 20:23422+8
8 Aug 2026, 05:34414no change
7 Aug 2026, 19:43414first reading

Engagement

20 posts held, back to 22 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
84.4%
avg views ÷ 422 subscribers
Avg views / post
356
9 posts measured
Reaction rate
1.22%
reactions ÷ views · ER floor
Posts in window
9
of 20 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
WindowRolling 30 days · latest post in window 4 August 2026
Posts held20 (22 June 20264 August 2026)
Views total3,205
Reactions total39
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 05:34 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

Video runtime
10m 50s
Average length
1m 12s

Measured directly from 9 videos 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

99 reactions across 19 posts, in 6 distinct kinds. The most used accounts for 60.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥6060.6%
👍1414.1%
1313.1%
66.06%
🤝44.04%
🎉22.02%

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 19 of the 20 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 99reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 22 June 2026 to 4 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.

Recent posts

4 Aug 2026, 04:38 UTC164 views4 reactionsread 8 August 2026
Photo

Zo'r sotuvchilar ham nega vaqt o'tib "dangasa" bo'lib qoladi? Oldin menejer 2 soat gaplashsa, "yaxshi ishladi" derdik. Aslida kuchli xodim bemalol 4-5 soat tinmay, samarali sota oladi. Bo'limingizdagi 2 ta sotuvchi kuniga atigi 2 soatdan telefon tutib o'tirsa, ular shunchaki 1 kishining ishini bo'lishib qilyapti. Bu holatni psixologiyada "burga effekti" deyishadi. Shisha idishdagi burgalar qopqoq olingandan keyin

2🔥2

2 Aug 2026, 04:53 UTC196 views5 reactionsread 8 August 2026
Video

Milliard dollarlik Zappos kompaniyasining siri nimada? Ular shunchaki mahsulot sotmaydi, mijozga chin dildan xizmat qiladi. Afsuski, ko'p sotuvchilar mijozni eshitish o'rniga, yodlangan gaplarini qaytarish bilan band bo'lishadi. Haqiqiy savdo esa avval insonni tinglashdan va uning ehtiyojiga yechim berishdan boshlanadi. Xo'sh, sizning jamoangiz mijozni eshitadimi yoki shunchaki gapiradimi? Izohlarda yozib qoldiri

🔥31👍1

28 Jul 2026, 13:47 UTC314 views4 reactionsread 8 August 2026

🐸 Sotuv bo‘limini sekin-asta «o‘ldiradigan» o‘sha odat...... Qurbaqani qaynoq suvga tashlasangiz — darhol sakrab chiqadi. Lekin sovuq suvga solib, o‘tni sekin yoqsangiz... haroratni sezmay halok bo‘ladi. Sotuvda ham inqiroz bir kunda sodir bo‘lmaydi. U sekin va bilinmay kirib keladi: 📉 Qo‘ng‘iroq vaqti 5–10 daqiqaga kamayadi; 🐢 Lidga qayta qo‘ng‘iroq qilish sekinlashadi; ⚠️ E’tirozlarga yuzaki javob berila bosh

🔥31

26 Jul 2026, 13:43 UTC568 views1 reactionsread 8 August 2026
Video

Sizningcha, sizning sotuv bo'limingizda sotuvni o'ldirayotgan eng asosiy e'tiroz qaysi. Aniq bilasizmi yoki tahmin qilasizmi?

🔥1

24 Jul 2026, 05:58 UTC396 views1 reactionsread 8 August 2026
Photo

🗣 Mijoz e'tiroziga qarshi "Sirli 3 so'z" Ko'p sotuvchilar mijoz e'tiroz bildirishi bilan darhol javob berishga shoshiladi: chegirma taklif qiladi, mahsulotini oqlaydi yoki yangi argument keltiradi. Ammo aynan shu joyda ko'pchilik eng katta xatoga yo'l qo'yadi. Eng kuchli muzokarachilar esa "Ko'zgu effekti (Mirroring)" usulidan foydalanadi. 📌 Qanday? Mijoz aytgan gapning oxirgi 2–3 ta so'zini savol ohangida qayt

🔥1

22 Jul 2026, 10:28 UTC327 views4 reactionsread 8 August 2026
Video

USAT (Fan va texnologiyalar universiteti) 63 ta xodim va kuniga 300 soatlik qo'ng'iroqlarni qanday nazorat qilmoqda? Buning uchun ularga butun boshli nazorat bo'limi emas, balki bitta tizim — Deepsales yordam beryapti. Xo'sh, tizim aynan nimalarni bajaryapti? 🔹 Barcha audio suhbat va yozishmalarni 100% avtomatik tahlil qiladi. 🔹 Mijozlarning e'tirozlariga menejerlar qanday javob berayotganini kuzatadi. 🔹 Xodimlarn

🔥4

20 Jul 2026, 12:08 UTC305 views5 reactionsread 8 August 2026
Video

Nega sotuvchilar yangi CRM yoki Al tizimlaridan qochishadi? Ko'p rahbarlar yangi dasturni jamoaga majburlab kiritadi. Natijada, sotuvchiga bu ortiqcha ish yoki qattiq nazorat bo'lib tuyuladi. Yechim: Tizimni avval sotuvchining o'ziga "soting"! Sotuvchiga bu dastur uning ishini qanday yengillashtirishi va ko'proq daromad (bonus) olib kelishini tushuntirish kerak. Masalan, DeepSales sun'iy intellektini "nazorat qi

🔥5

20 Jul 2026, 03:30 UTC621 views7 reactionsread 8 August 2026

🥚 Nega mijozga "100% tayyor yechim" sotish – eng katta xato? (Betty Crocker siri) Sotuvda ko'p kuzatamiz: mijozga oson bo'lishi uchun hamma narsani mukammal qilib berishga urinamiz. Lekin Betty Crocker kompaniyasi bunga qarshi borib, millionlar ishlagan. 1950-yillarda ular tayyor keks (pirog) aralashmasidan quritilgan tuxumni atayin olib tashlab, qadoqqa "O'zingiz 1 ta yangi tuxum qo'shing" deb yozishganida, savdo

🔥52

17 Jul 2026, 15:34 UTC314 views8 reactionsread 8 August 2026
Video

Reklamadan kelgan "otkaz" lidlarni shunchaki o'chirib yuboryapsizmi? Unda siz pul yo'qotyapsiz! 💸 Sotuv bo'limida ko'p uchraydigan holat: menejer mijoz bilan til topisha olmaydi va "issiq" lidni ham "otkaz"ga chiqarib yuboradi. Aslida esa, bitta sotuvchi yopolmagan mijozga boshqasi bemalol sota olishi mumkin. DeepSales platformasi orqali bu muammo oson hal bo'ladi. Dastur "otkaz"larni analiz qiladi, ichidan "sif

👍3🔥311

15 Jul 2026, 16:34 UTC612 views11 reactionsread 8 August 2026
Photo

🎉 Yangi mijozimiz — Inter Nation English School. Toshkentdagi yetakchi ingliz tili o‘quv markazlaridan biri endi DeepSales AI'dan foydalanadi. Boshqa o‘quv markazlariga ham tavsiya qilamiz. Agar siz ham qo‘ng‘iroqlar sifatini AI yordamida nazorat qilishni va sotuv natijalarini oshirishni istasangiz, biz bilan bog‘laning. 📩 Bog‘lanish uchun: @deepsales_admin

🔥91👍1

13 Jul 2026, 12:45 UTC344 views4 reactionsread 8 August 2026
Video

"Mijoz har doim haq" degan aqida savdongizni o'ldiryapti. Hamma injiqlikka "xo'p" deyaverish mahsulotni ham, sotuvchilar vaqtini ham barbod qiladi. Eng yaxshi bizneslar mijozni eshitadi, lekin unga ko'r-ko'rona bo'ysunmaydi. DeepSales jamoangiz vaqtni kimga sarflayotganini aniq ko'rsatib beradi. Siz ham mijozga "yo'q" deyish to'g'ri bo'lgan vaziyatga duch kelganmisiz? Izohlarda yozib qoldiring!

🎉2🔥2

11 Jul 2026, 03:46 UTC≈1,010 views5 reactionsread 8 August 2026
Photo

🤫 Mijoz e'tiroz bildirganda FQB (FBI) agentlari kabi javob bering... Mijoz “Qimmat!” yoki “Oʻylab koʻraman” deganda, eng katta xato — "Sizni tushunaman, lekin..." deyishdir. Bu ibora mijozni tinchlantirmaydi, aksincha himoya devorini qalinlashtiradi. Buning oʻrniga FQB sobiq agenti Kris Vossning "Yorliqlash"(Labeling) texnikasini qoʻllang. Neyrobiologik tahlillarga koʻra, negativ emotsiyaga ovoz chiqarib "nom beri

👍3🔥2

Showing the 12 most recent of 20 posts we hold for @deepsales_uz. 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.

Polls

The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.

4 Jul 2026, 12:55 UTCAnonymous Poll28 voters

Siz qaysi yondashuvdan ko'proq foydalanasiz?

  1. Foydani ko'rsatish46%
  2. Yo'qotishni ko'rsatish54%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

Percentages only — there are no per-option vote counts here, because Telegram publishes none.The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.

The shares need not add up to 100.Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.

Read from the 20 most recent posts we hold, published 22 June 2026 to 4 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.

Citation-graph rank

Citation-graph rank — 660,411 of 1,478,351entries 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 1 registered channel — 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 14 August 2026 — this entry's latest reading, not the date you are reading this.

“DeepS​ales | AI Sales Intelligence” (@deepsales_uz), 422 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/deepsales_uz.

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.