Telegram Number Filtering Retargeting Practical Guide: Reactivating Silent Users and Re-engagement Based on Active Screening

Overseas marketing teams often face an awkward situation: they have accumulated thousands of numbers, but open rates are dropping, and they frequently trigger Telegram’s risk controls. The problem isn’t the numbers themselves—it’s that you’re not distinguishing user states. The core of Telegram number filtering retargeting is to segment your historical user pool (active/silent) using filtering technology and implement differentiated engagement strategies for each state. Compared to traditional “blast” messaging, filtering-based retargeting can boost ROI by 3–5 times while significantly reducing account bans.

This article will break down the complete retargeting process based on Telegram activity detection, from silent user reactivation to active screening, and introduce how to use the KK-DATA platform to build an automated pipeline: “number generation → filtering → tgid export.”

What is Telegram Number Filtering Retargeting? Why Do Overseas Teams Need It?

Telegram number filtering retargeting simply means: first batch-check your existing number list to identify users who are still registered on Telegram and have been active recently, then design different engagement strategies for users with varying activity levels.

Why must overseas teams do this?

Waste of ineffective sends: Data shows that in unfiltered number pools, the effective registration rate is typically only 40%–60%, with active users even lower. Sending messages to silent or unregistered numbers not only wastes budget but also lowers account weight.
Account ban risk: Telegram strictly limits bulk sending. Sending messages to silent users (who haven’t logged in for a long time) has a high chance of being reported, leading to account bans.
Boost conversions: Active users are far more receptive to push messages than silent users. Only by focusing resources on users with a “probability of response” can you achieve positive conversion.

Therefore, Telegram number filtering retargeting is not optional—it’s a necessary path for refined operations.

Step One of Retargeting: Batch Filter Valid Telegram Users from Historical Data

No matter the source of your numbers—historical orders, event registrations, offline collection, or third-party purchases—the first step is to verify whether these numbers have registered Telegram. This is the foundation of all retargeting. If the number isn’t even registered on TG, all subsequent work is wasted.

Steps (using KK-DATA as an example):

Prepare number list: Organize your numbers into a TXT or CSV file, one number per line (including country code, e.g., 8613800138000).
Create a filtering task: Log in to the KK-DATA Console, select “Telegram Number Filtering” → “Registration Check.”
Import numbers: You can upload a file or paste text. Supports up to approximately 1 million entries per batch.
Submit the task: The system will show an estimated cost (charged per number). Confirm to queue the task.
Export results: After completion, download a CSV file containing “registered/not registered” labels.

Data Deduplication Repository: Avoid Double Charges

If you have multiple batches of tasks, import them into the “Data Deduplication Repository” first. KK-DATA automatically recognizes numbers that have already been checked in previous tasks and will not charge again. This is very useful when repeatedly filtering the same batch of numbers.

Through this step, you get a clean pool of valid numbers, filtering out all invalid ones, and preparing for the next step of activity detection.

Silent User Reactivation Strategy: How to Use Activity Detection to Distinguish Active from Silent Users

Valid numbers do not equal quality users. Many users may have registered Telegram but haven’t opened the app for months. These “silent users” are difficult to reactivate and pose higher risks, so they must be treated separately from active users.

What is Telegram Activity? How to Set a Reasonable Threshold?

Telegram activity detection determines whether a user has been active within a specified window by checking their last seen time or recent interaction frequency (e.g., sent messages, opened groups). KK-DATA supports custom detection windows: 7 days, 15 days, 30 days, etc.

Suggested thresholds by industry:

Industry Type	Typical Silent Period	Recommended Detection Window
E-commerce (FMCG)	7 days no interaction	15 days
Tools/Services	15 days no interaction	30 days
Offline event collection	1 month no interaction	30 days
High-value low-frequency products (e.g., training)	1–3 months	30 days or longer

How to verify if the threshold is reasonable? First, test on a small sample of 1,000 numbers with a preset 15-day window. Check the percentage of active users detected. If the activity rate is below 10%, the window is too strict—relax to 30 days. If above 80%, the window is too loose—shorten it.

KK-DATA Supports Custom Days

When creating a filtering task, select “Activity Detection” and enter the number of days (e.g., 10). The system will precisely identify users who had interactions within that time range.

Typical Scripts and Timing for Silent User Re-engagement

For silent users (e.g., inactive for 30 days), do not directly send promotional messages. Use a “gradual reactivation” approach:

First contact: Send a warm-up message with potential value (e.g., “You have an exclusive coupon waiting”).
Example: “Hi, this is [Brand Name]. We noticed you haven’t visited in a while. We’ve prepared a special offer for you. Click to claim → [short link].”
Limited-time reminder: If no response, send a brief reminder after 3 days.
Example: “The offer is about to expire. Only 24 hours left.”
Personalized recall: Combine historical data (e.g., products they bought) to send relevant recommendations.
Example: “We saw you were interested in smartwatches. There’s a discount on new arrivals—would you like to take a look?”

Frequency control: No more than 2 times per week, with at least 3 days between each. If no response after 3 consecutive attempts, temporarily shelve the user.

How to Export tgid After Active Screening for Precise DMs?

The filtering results not only include “active/silent” labels but KK-DATA also supports exporting tgid (Telegram user unique ID). tgid is key for DMs: you don’t need the user’s number; just the tgid allows you to send messages via Telegram Bot API.

Exported tgid field: In the task result CSV, if the original number has Telegram registered, a tgid column will be included. You can import this ID list into automation tools (e.g., Pyrogram, Telethon) to send batch one-on-one private messages.

Advanced Retargeting: Personalized Engagement Based on Gender Recognition

If you want to go further, enable gender recognition during filtering. KK-DATA uses an avatar visual model to automatically determine user gender. While not 100% accurate (affected by avatar clarity, whether it’s a real person, etc.), it serves as a helpful supplementary label for designing better-matched copy.

Telegram Gender Recognition Principle and Accuracy

Based on user avatar images for visual classification, outputs “Male,” “Female,” or “Unrecognizable.” Accuracy is about 60%–80% (depending on avatar quality). If a user uses a cartoon, landscape, or abstract image, it will not be recognized. Therefore, do not use it as the sole label—combine with other information.

Application Scenarios for Gender Tags in Retargeting

Cosmetics/Skincare: Push new trial products to female users; basic men’s line to male users.
Fitness/Sports: For male users, focus on equipment and muscle building; for female users, focus on body shaping and yoga.
General caution: For unrecognizable genders, send neutral content to avoid stereotypes.

From Number Generation to Filtering to Export: Building an Automated Retargeting Pipeline

An efficient retargeting process should be one-stop. KK-DATA integrates the following steps:

Global number generation: If you don’t have an existing number pool, you can randomly generate numbers for specific countries/regions on KK-DATA (free). Supports generation by number segment or uploading a custom CSV.
Telegram filtering: Perform “registration check + activity detection + gender recognition” on the generated numbers.
Data deduplication: Cross-task deduplication to avoid double charges.
Export results: Export active users (based on preset thresholds) as CSV/TXT including tgid.
Task notification: After filtering is complete, get automatic notifications via Telegram bot—no need to stay at your computer.

This pipeline minimizes manual intervention. For example, you can schedule a “batch filter new numbers” task and directly obtain a list of “high-activity users with tgid” for subsequent DMs.

Cost explanation: Number generation is free. Filtering is charged per number checked. An estimated cost is shown before submission; insufficient balance prevents submission. Recharge with USDT (TRC20), minimum ~50 USDT. See Official Billing Page.

Measuring Retargeting Effectiveness: Which Indicators Matter?

After implementing retargeting, track these key metrics:

Metric	Description	Reference Benchmark
Delivery rate	Successful messages sent ÷ target users	Active users should be >90%
Open rate	Users who opened the message/clicked the link ÷ delivered	Expected 15%–25% for retargeting
Reply rate	Users who replied ÷ delivered	Excellent if above 5%
Conversion rate	Users who completed target action (e.g., purchase, registration) ÷ delivered	Depends on product
Silent reactivation success rate	Percentage of silent users who become active within 7 days	Can be measured by re-detection

After each retargeting campaign, it’s recommended to re-check activity using KK-DATA to observe changes in user status and optimize thresholds and scripts accordingly.

Retargeting Compliance Reminder

Bulk DMs may trigger Telegram’s anti-spam mechanisms. Suggestions: ① Do not send more than 200 DMs per account per day; ② Use multiple accounts to spread risk; ③ Send verification invitations before adding friends; ④ Remove persistently unresponsive silent users (inactive for over 3 months) from your list to avoid high complaint risk.

Common Mistakes and Precautions (Avoid Bans and Budget Waste)

In practicing Telegram number filtering retargeting, many teams make these mistakes:

Mistake	Consequence	Correct Approach
Only do registration check, no activity check	Mass sending to silent users leads to reports and bans	Must first do activity detection to separate silent from active
Send all messages at once	Account gets rate-limited or banned in a short time	Send in batches with 10–20 minute intervals between each
Ignore data deduplication	Same number checked multiple times, consuming double balance	Use data deduplication repository; reuse old results if needed
Over-rely on gender recognition	Misjudge users with non-human avatars, leading to awkward copy	Gender is only a reference; have a neutral fallback
No unsubscribe instruction	Users can only complain to express dissatisfaction	Add “Reply STOP to unsubscribe” at the end of each message

Frequently Asked Questions

Q: Which scenarios is Telegram number filtering retargeting suitable for?
A: It’s suitable for all overseas teams with collected number pools, especially for e-commerce repeat customer reactivation, SaaS product usage re-engagement, offline event follow-up, and content community activation.

Q: How to determine if a number is active or silent?
A: Use Telegram activity detection with a chosen time window (7/15/30 days). If the user logged into TG and interacted (e.g., sent a message, opened a group) within that window, they are active; otherwise, silent. KK-DATA supports custom days (e.g., 10 days).

Q: Can exported tgid be used directly for bulk sending?
A: Yes. tgid is the unique identifier for Telegram users, allowing API-based private messages. However, control frequency and compliance. Use automation tools to set intervals and avoid triggering risk controls.

Q: How to avoid being reported or banned during retargeting?
A: ① Only send to users who are registered and active; ② Include clear unsubscribe instructions in every message; ③ Avoid pure ads—add valuable content; ④ Control daily send volume and use multiple accounts; ⑤ Regularly clean up long-inactive silent numbers.

Q: Does KK-DATA’s activity detection support custom days?
A: Yes. When creating a filtering task, select “Activity Detection” and enter the number of days (1–365). The system will precisely identify users who logged in or interacted within that time range.

Ready to start your Telegram number filtering retargeting? 👉 Log into Console to create your first filtering task. For one-on-one assistance, contact us via bidirectional customer support: https://t.me/kkdata_robot. For more technical details, see the Documentation.

Telegram Number Screening Retargeting Practical Guide: Silent User Wake-up and Retargeting Full Process Based on Active Filtering

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