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Telegram screen number remarketing list management: from customer acquisition to recurring compound interest

telegram screen number operations kkdata remarketing

Remarketing list management based on Telegram filter results: from one-time customer acquisition to recurring compound interest

In cross-border e-commerce and overseas community operations, the cost of obtaining an effective clue is getting higher and higher. What most teams do is: collect a large number of mobile phone numbers from exhibitions, advertisements, local promotions and other channels, send them in bulk once, and then throw them into an Excel spreadsheet to collect dust. A month later, I repeated the mass call, only to find that a large number of numbers had expired or no one responded. This “one-time customer acquisition” model has led to rising customer acquisition costs, and the truly reusable assets - verified active users - are wasted.

The core point to be discussed in this article is: Secondary processing of the stock list through Telegram filter numbers, so that each batch of original numbers becomes reusable remarketing assets. We will explain how to use the Telegram screening tool to achieve the transformation from one-time customer acquisition to cyclical compound interest from four dimensions: activity filtering, gender/age field grouping, data deduplication, and shelf life management.

Why do ordinary customer acquisition lists need secondary processing?

Raw customer acquisition lists often contain a large number of “invalid” or “low-quality” numbers:

  • Numbers not registered with Telegram (proportion may be as high as 40%–60%)
  • Accounts registered but inactive for a long time (deprecated or only receiving verification codes)
  • Accounts or bots identified as male/female
  • The same number is repeatedly collected multiple times, resulting in repeated contacts and waste of resources.

If you directly send them in bulk without screening, it will be a waste of costs at best, and at worst, your account will be officially restricted or reported due to too many invalid contacts. The core value of remarketing is: use the paid customer acquisition cost to extract truly “live” and “right” users through Telegram screening tools, and then reach them again at the right time. The conversion rate is often 3-5 times higher than the first cold start.

How to build a high-value remarketing list through Telegram filters?

From the original number to the remarketing list, only three steps are required: Filtering → Grouping → Deduplication. The following takes the KK-DATA platform as an example to illustrate the specific operation process (the logic of other compliance screening platforms is similar).

Select the appropriate activity window

Remarketing strategies across different industries define “active” differently. When filtering numbers in Telegram, it is recommended to select the active window according to the business scenario:

Industry typeRecommended active windowReason
E-commerce/PromotionActive in the past 7 daysUsers have a short purchase decision-making cycle and require high-frequency contact
Community operationActive in the past 30 daysCommunity stickiness requires a certain period, relax appropriately
Finance/High customer unit priceActive in the past 14 daysUsers need time to consider, but they cannot be too old
Brand awakening (low frequency)Active in the past 90 daysCold restart for old users, low activity can be tolerated

Operation suggestions

When submitting the Telegram screening task, select “Activity Detection” and specify the number of days window. After the task is completed, the result field will display “last_active_days” (the number of days since the last active activity), which can be directly exported for subsequent grouping.

Targeted grouping using gender and age fields

Telegram filters can also obtain gender and age information from users’ public profiles. Note: The age field is filled in by the user or calculated by the system. It is not as accurate as an ID card, but it is enough to support large-scale crowd targeting.

  • Gender Screening: Push technology products and games to male users; push beauty products and maternal and child products to female users.
  • Age field: If the test result contains the “age” field (such as approx_age_range: 25-35), people around the age of 30 can be filtered out for product testing with medium purchasing power.
  • Combined Conditions: For example, “Male + Active in the last 7 days + Age 30–40” can be used as a high-value remarketing pool.

When exporting results, it is recommended to retain fields such as mobile phone number, tgid, active status, gender, age, etc. to facilitate subsequent introduction of CRM or automation tools for label management.

Data deduplication warehouse ensures pure list

The biggest enemy of remarketing is repetition. If the same number is repeatedly screened in different batches of lists, it will not only waste balance, but also cause resentment among users due to repeated exposure.

The KK-DATA platform has a built-in data deduplication warehouse: when you submit the list multiple times under the same account, the system will automatically compare it with the historical detection records in the warehouse and mark the numbers that have been detected. You can check “Skip detected numbers” before submitting to avoid repeated deductions.

Best Practice: Establish two deduplication strategies:

  1. Cross-task deduplication: All imported original numbers must first go through the deduplication warehouse before submitting the screening numbers.
  2. Activity update re-screening: Re-run activity detection on the old list every 2-4 weeks. The new detection results will automatically overwrite the warehouse records. At the same time, the basic registration status fee that has been tested will not be deducted repeatedly (only the difference in active detection fees will be deducted. For details, see the real-time price of the console).

Ordinary list vs remarketing list: comparison before and after Telegram filter numbers

The following is a typical comparison scenario (the data is a simulation example, not a real case):

Comparison dimensionsOriginal list (unfiltered)Remarketing list (after filtering)
Number of numbers10,000About 3,200 (after activation + active screening)
Telegram registration rate55%100%
Activity rate (within 30 days)Unknown85%
Estimated reach success rateBelow 30%Above 70%
Complaint/Report RiskHigh (a large number of invalid numbers)Low (only reach real active users)
Total inspection cost0About 10,000 × unit price (see console for details)
Cost per contactHigh (due to waste of invalid numbers)Reduced by more than 50%

Notice

The filter number itself will incur a one-time cost, but by reusing the remarketing list multiple times, the cost of a single touch will be significantly reduced. It is recommended to consider screening as a long-term investment rather than a one-time expense.

Export and group management of remarketing lists

After the screening is completed, how to use the results efficiently? The key lies in Field Selection and Group Rhythm.

Field selection and export format suggestions

KK-DATA supports CSV and TXT format export. It is recommended to select export fields according to usage scenarios:

  • Batch private messages (such as group sending with a personal account): Export mobile phone number + active status + gender, no tgid is required, because private messages are usually matched with mobile phone numbers.
  • Accurate invitation to join a group (such as channel promotion): Export tgid + gender + age, because group invitations are often initiated with tgid, which can avoid leaking mobile phone numbers.
  • Interconnect with own CRM: Export all available fields (mobile phone number, tgid, active days, gender, age_range, detection timestamp) to facilitate subsequent secondary development.

Rhythm management of remarketing after grouping

Lists with different levels of activity should have different access frequencies, otherwise they will be easily reported or banned:

List typeRecommended reach frequencyDescription
Highly active (active in the past 7 days)Once every other dayThe user online rate is high and can be reached frequently
Moderately active (last 14–30 days)1–2 times a weekAvoid interruptions and maintain moderation
Low activity (more than 30 days but through activation)Once every 2 weeks or just wake upSuitable for holidays and big sales

Do not continuously send the same content to the same active list. It is recommended to set up 3-5 sets of copywriting rotation to reduce user fatigue.

How to use “shelf life” thinking to improve remarketing conversion rate?

Screen number results are not permanently valid. Over time, active users may lose, and silent users may become active again. Regular “rescreening” is key to maintaining list purity.

Recommended practices:

  • Every 2–4 weeks Run an activity check again on the remarketing list with the largest inventory (such as the previously filtered active list in the past 7 days). Just submit the original mobile phone number file and select the “Activity Detection” type; if the number is already in the deduplication warehouse, the system will only deduct the fee for the secondary detection in the “Activity” field, and will not repeatedly charge the basic registration detection fee (specific billing is based on the real-time price of the console).
  • Use the task completion notification provided by the platform (via Telegram bot) to avoid forgetting. When the re-screening task is completed, the robot will send a reminder and you can download the latest list.

remind

Set a “shelf life” calendar for the list: For example, the shelf life of list A is 15 days, and the rescreening task will be automatically triggered on the 14th day to ensure that each contact is in the latest status.

FAQ

**Q: Can the same batch of numbers be tested multiple times? Repeated deductions? **

Answer: It can be tested multiple times. Each detection is an independent task, and whether repeated deductions depend on whether the batch of numbers has been added to the Data Deduplication Warehouse after the last screening. If there are recent detection records in the deduplication warehouse and the user chooses to skip the detected numbers this time, there will be no repeated deductions. It is recommended to use deduplication warehouse filtering first for large lists.

**Q: Can the Telegram filter account distinguish between real accounts and robot accounts? **

Answer: The platform mainly detects whether the number is registered in Telegram and has active characteristics. It cannot directly determine whether it is a robot. However, combined with activity detection (such as no group chats/no online records in the past 7 days), it can significantly filter out worthless numbers and reduce the risk of contacting robots or fake accounts.

**Q: Is the pay-per-item model suitable for long-term remarketing list maintenance? **

Answer: Suitable. Because there is no subscription package, you only need to top up when you need to update the list and the fee will be deducted according to the actual number of tests. For long-term inventory lists, it is recommended to conduct low-cost re-screening of active status every 2-4 weeks. The cost is controllable and the effect is significantly improved.

**Q: What is the maximum number of numbers that can be screened simultaneously at one time? **

Answer: The platform supports up to about 1 million numbers in a single task. For very large lists that exceed the common capacity, it is recommended to submit them in batches, which can not only disperse the balance occupation, but also optimize the subsequent task strategy based on the results of the previous batch.

**Q: What is the use of tgid in the export results? Is it a unique identifier? **

Answer: tgid is the unique digital ID of a Telegram user, which can be used for subsequent deduplication, prohibiting duplicate additions, or integration with own systems (such as integration into CRM or marketing automation tools). It is recommended to retain both the mobile phone number and tgid when exporting to facilitate multi-dimensional association.


After reading the steps, why not give it a try? Upload your first batch of lists to the platform, use activity detection to clean out a remarketing list, and experience the complete process from one-time customer acquisition to cyclical compounding.

👉 Log in to the console to start screening numbers | Two-way contact customer service https://t.me/kkdata_robot | Official website | Document

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