A Telegram mass DM course usually comes up after a painful debut: fifty cheap SIMs, a loaded base, and three messages later half the profiles are spam-blocked. But the cause is rarely the copy: it is the lot, a base of dead usernames or a URL in the opener.
So we recorded a free 45-minute training built on GramGPT stats from over a million deliveries. Next comes the short guide, a text tutorial of the video: theory, settings, limits and numbers. It is in Russian with YouTube auto-dubbing, and the promo code is in the description.
Who This Telegram Mass DM Course Is For
About 30% of our clients sell a Telegram mass DM service to customers. The other 70% are owners who want to:
- pitch an offer directly, for example to a competitor's audience;
- buy traffic cheaper in costly niches: 1,000 followers for a Cyprus real estate channel cost $10–20k, while outreach to a competitor's audience is often ten times cheaper;
- promote their own business.
The training has three parts:
| Part |
Timestamp |
Topics |
| 1. Theory |
01:55 |
Data centers, rules, batches, testing, buying, warm-up |
| 2. Practice |
12:19 |
Profiles, targets, settings, direct and trigger modes, NeuroDialogs |
| 3. Limits and strategy |
37:06 |
Launch order, reply data, errors, ramp-up |

Part 1 of the Mass DM Course: Accounts
Accounts and the base decide almost the whole result, so the lessons start here.
Data Centers and Geo
There are three main data centers: Europe with the CIS, the Americas and Southeast Asia.

Cross-region hops get an extra check, so young numbers die faster. Therefore the rule is simple: use SIMs from your audience's region, ideally the same or a neighboring country.
Three Rules for Picking Accounts
- Skip the cheapest. They often get a spam block after three texts.
- Test before buying in bulk. Bad stock is not saved by warm-up or slow limits.
- Premium is not protection. It only helps in a ramp-up strategy.

Why the Batch Decides Everything
A batch is SIMs from a single seller and country bought on the same date, so they live or die together. Half of our clients see 0–2% frozen in the early days, the rest 20–55%. Premium, however, matters only for the ~1% who accept messages from subscribers alone, which rarely justifies $3 extra.

Across 3,460 profiles, age, Premium, 2FA, avatar, username, session format, proxy and rest moved freezes by 2–3% at most. But the lot itself moved them by 44%: in good stock 90% send normally, in weak stock about 10%.

Batch Testing: The Key Step of This Mass DM Course
Buy 5–10 SIMs, send 5 texts from each to your real audience and count how many reach five deliveries:

- 4–5 of 5: the rest of that seller's stock works in 80–96% of cases, so buy more and then repeat the test.
- 2–3 of 5: only ~20% hold up.
- 0–1 of 5: find another seller.
Year-old senders freeze slightly less, but the daily cap stays the same. Most good lots come from Russia, Kazakhstan and Uzbekistan (80%+); check the current geo benchmark via the GGR account checker.

Buying on the Marketplace
The marketplace has over 100,000 offers: GramGPT's own SIMs and third-party sellers with ratings and reviews. Also, every listing is validated, and a spam block is flagged on the card. Buy dedicated proxies rather than shared system ones; see our proxy guide and buying guide.

A new IP needs 24 hours of rest, so buy SIMs first and then start your plan a day later.
Do You Need a Warm-Up?
Barely. It cannot rescue a weak lot, but a basic manual setup still helps: Careful mode, 30–60 minutes daily for 2–4 days, the right time zone, and dialogs between your own accounts as the only action.

Also, in fine settings keep viewing dialogs, mark as unread, search and forwarding. More in our review of account warm-up before outreach.
Part 2 of the Mass DM Course: Practice
This hands-on training shows how to send bulk messages on Telegram step by step, from profiles to the launch button.
Setting Up Profiles
Start testing without design. Then, after a pass, select the accounts in Account manager, open Accounts → AI profiles and fill them in bulk; give them 24 more hours. Keep freeze protection on, put names in a pool, let the model pick usernames, use generated or your own photos instead of the shared library, and split bio variants with three dashes. However, a clickable story URL needs Premium.

Targets and Lead Lists
Pick senders from your region, turn on AI protection in Balanced mode, then choose targets: a manual list of numbers or links, the sender's contacts or its dialogs.

Build the list in Data Parsing; the source depends on the place:
- Open chats: export members with the chat member parser.
- Closed chats: the member list is hidden, so authors are collected from messages. In the lesson, 1,000 messages gave 87 unique people after the username, photo and Premium filters. See the hidden member parser review or open the user parser module.
- Channels: take the audience from comments with the comment scraper.
Chats on your topic come from parsing Telegram groups and chats. So run old lists through the checker first.
Delays and Limits
- Delay between targets: 30–90 seconds, 90–120 on early runs.
- Spam limits before a pause: about 5 PeerFlood signals.
- Backup SIMs take over a banned or frozen sender.
- Skip users already messaged and dead usernames.
- Pace: up to 30 a day from a SIM; the platform cap for a Telegram bulk DM run is 40, or 80 with a subscription.

The "not sent yet" button collects everyone missed, which matters when a customer hands you 1,000 usernames.
Replies, Schedule, Follow-Ups and A/B Tests
For example, AI can save positive answers to a separate folder. You also get a schedule, a daily plan, a skip for anyone contacted in the last 5 days, bot alerts, a follow-up after silence (say, in 24 hours) and A/B tests of chains.

Leave Special settings at default: typing simulation, profile check, a stop after 10 errors and half speed for senders under 14 days.

Option One: Direct Mode
The module has two sending options. This one sends the whole chain to every target at once, and each SIM works its own part of the list. "AI per recipient" writes a unique opener for everyone, and you can add media, a voice note, a video note or a repost.

For example, in our trial run the recipient got the whole chain at once: "hi, how are you?", a voice note and "follow the link", while the logs show every step.

A popular format is a video note with a button: in GramGPT PostBot press Start, pick a language, create a post, record the note, add a button and press Done, then paste the post ID; see our guide to video notes. Customers prefer this option because they pay for each delivery, while triggers cost them 5–10 texts for each person. You can run it via the bulk messaging module.
Why a Button Beats a Plain Link
On iPhone, a URL or @username in plain text sometimes arrives unclickable: people see it but cannot tap it. As a result, part of the clicks is lost, and conversion drops with it.
The fix is simple: put it into a button under a video note or post. A button opens on any device, so 100% of readers can follow it.

Option Two: Trigger Mode
For your own business, the opener is a question with no link, such as "Hi, are you into crypto?". The address comes only after an answer, because the platform then reacts less.

Then write the greeting as a spin construction like {Hi|Hello|Hey}: a single template gave 12 variants. After an answer choose Chain, Chain → NeuroDialogs or NeuroDialogs right away. Here is the result: the person answered "hi, yes, interesting", and the next message arrived on its own.

Longer chats then go to the autoresponder.
NeuroDialogs: AI Keeps the Conversation Going
This autoresponder answers leads after the campaign, tracks link clicks and closes sales. Set the prompt, language, reply length (30–80 characters by default), context, voice and photo reading, scripted replies, a file for the first answer, replies to the backlog after start, delays and stop rules: a reply cap, after the link, stop phrases or a phone number.

For instance, in the course demo, after "yes, interesting" the AI recommended a salon on the left bank. In our own run, the lead wrote "cool", the status switched to "typing", and a few seconds later the reply arrived.

Connect it via the NeuroDialogs module.
Part 3 of the Mass DM Course: Limits and Strategy
- A tested lot and a proxy per SIM.
- Numbers with "+" and the country code, or links; no numeric IDs; skip usernames that do not exist.
- Trigger mode with a short spun greeting and no link.
- Reply timeout of 2–3 hours: 98% of answers arrive within 2 hours.
- The autoresponder at the end to track conversion.
- 30–90 seconds between texts, up to 30 new targets per sender daily.
- Everything else at default.

So the greeting goes to all, the offer only to those who answer.

What to Expect: Mass DM Course Data From Clients
With good stock, a typical client sends about 5 texts daily per sender, large clients 20–30, weak stock about one. Meanwhile, a thousand deliveries take 20–100 accounts on average, 1–5 for experienced clients and up to hundreds with weak stock.

Typical clients get 10–15% responses, the best up to 61%. About 40% answer "Hi, yes". So a good bait is "Are you subscribed to this channel?", then "I've launched a similar one, what do you think?". Half of all answers come within 3 minutes and 85% within 30; nights are quieter.

Why Messages Fail to Arrive
A third of attempts fail: spam block 40%, username not found 38%, numeric IDs 7%, connection or proxy issues 5%, numbers without an account 3%. Therefore work with a fresh base; see our article on the Telegram spam block.

Ramping Profiles Up to Hundreds of Messages
- Strategy 1: a good lot at 30 daily from the start, 582 texts per SIM.
- Strategy 2: 1 a day for 10 days, 2 for 5 days, 3 for 5 days, then a subscription and 15–30 a day.

However, there is no single best supplier: even a single seller's lots differ, so test every new delivery.
Beginner Mistakes This Mass DM Course Covers
| Mistake |
Better approach |
| Buying 100 of the cheapest SIMs |
Test 5–10 from a single seller |
| Testing on a different list |
Test on your real base |
| Premium as protection |
Only for closed inboxes or ramp-up |
| Old base without checks |
Fresh parsing or the link checker |
| Local number formats, numeric IDs |
"+" with the country code, links |
| A URL in the opener |
Trigger: question, reply, then the URL |
| Waiting a day for a reply |
A 2–3 hour timeout |
| Over 30 a day from a SIM |
Up to 30, fewer at the start |
Summary: The Mass DM Course in Short
In the end, this mass DM course boils down to a simple chain: the right region, a tested batch, a fresh list, a trigger instead of a cold URL, NeuroDialogs at the end and honest limits. That is how outreach works in 2026, so this training pays off on the first run. For a step-by-step walkthrough, read our review of the Telegram outreach module; there is also our neurocommenting course.
Keep this guide as a cheat sheet: most of the routine can also be automated with GramGPT.io.