Boosting Reply Rates with Telegram Active Data: Best Practices for Number Screening and DM Outreach

In overseas marketing, the reply rate of Telegram DM outreach is one of the most critical metrics teams focus on. Many teams spend significant costs acquiring numbers and sending bulk messages, only to achieve a reply rate of less than 5% – the issue is often not the copy but the quality of the numbers. Telegram Active Data is the key lever to improving reply rates: only by confirming that the number’s owner has logged into Telegram recently can your message have a chance to be seen. This article provides a complete, actionable roadmap—from defining active users, screening strategies, cost control, to optimizing reply rates.

Why Telegram Active Data Directly Boosts DM Reply Rates?

An “active user” typically refers to an account that has logged into Telegram within a specified time window (e.g., 7 days, 15 days, or 30 days). There is a strong positive correlation between activity and reply rate:

Active users are more likely to check and reply to messages in a timely manner, with a much higher success rate of DM outreach compared to long-idle “zombie accounts.”
Invalid numbers (unregistered, deactivated) and inactive numbers (not online for months) not only waste DM quotas but may also lead to account complaints or bans.
After screening with active data, the DM reply rate can typically be improved by 30%–50% compared to only checking for “valid registered” numbers, depending on the industry and target audience.

Therefore, in the Telegram DM outreach process, the core task of the number screening stage is to further extract “active numbers” from the pool of “valid numbers” – not just to verify whether the number is registered.

How to Determine if a Telegram Number is “Active”?

Modern screening tools (such as KK-DATA) use the Telegram protocol interface to detect features like the user’s last online time and frequency, providing clear labels across three tiers: Registered → Valid → Active.

Three-Tier Screening Criteria

Detection Type	Meaning	Impact on Reply Rate
TG Registered (Registration Check)	Whether the number has registered Telegram	Basic threshold; but being registered does not mean someone is using it
TG Valid	Number is registered and account type is correct (not a fake account)	Slightly better than registered only, but cannot determine activity
TG Active (7/15/30 days)	User has been online within the specified period	Directly affects the probability of the DM being viewed

Many teams only perform “TG Valid” checks, assuming that if a number is valid, they can send messages – this is a common reason for low reply rates. Valid numbers may contain a large number of “placeholder accounts” that haven’t logged in for a long time – no matter how many messages you send to such numbers, they will never be seen.

Choosing the Activity Window: When to Use 7 Days, 15 Days, or 30 Days?

7-day activity window: Best for time-sensitive promotions (e.g., limited-time offers, event invitations), community growth (hoping users join immediately). Highest reply rate, but the number pool may be smaller.
15-day activity window: A balance between quantity and reply rate, suitable for regular product promotion, follow-up DMs (e.g., post-exhibition re-engagement).
30-day activity window: Suitable for brand awareness messages, low-frequency outreach. Largest number pool, but reply rate is lower compared to the first two.

Recommendation: If budget allows, prioritize the 7-day activity window; if the number of qualified numbers is insufficient, expand to 15 days. Do not start with 30 days unless you have already validated the reply rate with a smaller window.

Added Value of Gender Identification in Active Number Screening

Screening tools can also infer the user’s gender through profile picture recognition. If your product targets a specific gender (e.g., beauty products, menswear), adding gender identification on top of active data can further segment users, making DM content more personalized and thus boosting reply rates. However, gender identification is based on profile picture recognition and has a certain error margin; it is best used as an auxiliary dimension rather than the sole criterion.

Core Strategy to Improve DM Reply Rates: A Complete Closed Loop from Screening to Outreach

An efficient DM outreach workflow should include the following steps:

Number Preparation: Use global number generation tools (e.g., KK-DATA’s 240+ country random generation) or import your own numbers (e.g., customer lists, subscriber lists).
Activity Screening: Submit a task, set “TG Active (7 days/15 days/30 days)” + optionally “Gender Identification.” Export results after screening completion.
Deduplication: Use cross-task deduplication repositories to ensure the same number is not tested multiple times (avoiding wasted balance).
Export and Send DMs: Export the screened active numbers as CSV/TXT, then import into a DM tool for outreach.
Track Reply Rates: Record the reply status of each message to optimize screening parameters for future rounds.

Small-Scale Testing Recommendation

Before a large-scale launch, first conduct activity verification with fewer than 5000 numbers. Observe the reply rate under different windows (7 days, 15 days) and then decide on the final parameters. Batch testing is low cost but can help avoid the waste of blind expansion.

How Common Screening Mistakes Lower Reply Rates?

Even when using screening tools, some operational errors can significantly reduce reply rates. Here are three most common mistakes and how to correct them.

Failure to Deduplicate Numbers Leads to Repeated Reach

If the same batch of numbers is reused across multiple tasks, the same user may receive the same message multiple times. This behavior is highly likely to cause annoyance or even lead to spam reports. Cross-task deduplication is essential – the tool should automatically recognize numbers that have already been tested, avoiding duplicate charges and redundant outreach.

Using Global Number Prefixes Instead of Precise Active Numbers

Some teams directly generate a large number of random numbers using a random number generator, then screen all of them for “registered/valid” – this approach is costly and yields low reply rates. The correct practice is: first use existing customer/subscriber number lists (these numbers are inherently higher quality), then supplement with activity detection; if numbers are still insufficient, consider generating numbers from global prefixes and performing precise active screening.

Ignoring the Gender Dimension, Sending the Same Content to Everyone

Bulk sending without gender differentiation often results in mediocre reply rates. If your product has a clear gender preference, it is advisable to include gender identification during screening and design different message openings or content for different genders.

Under a Pay-Per-Use Model, How to Control Screening Costs While Ensuring Reply Rates?

Neutral screening platforms like KK-DATA adopt a pay-per-record, no-subscription model. You only pay for the numbers you actually test – use as much as you need. Under this model, the core strategies to control costs are:

Test with a small sample first: Use a few thousand numbers to determine the best activity window and expected reply rate, then proceed with batch execution.
Prioritize “Active” screening over “Full Detection”: If you only need “TG Valid” detection, directly screen for “Active” (since active detection includes the valid check in the process), avoiding two separate screenings that would result in duplicate charges.
Combine gender in a single pass: If you don’t need gender data, only perform active detection; if needed, check both “TG Active + Gender Identification” in one task to avoid separate runs.
Use deduplication features: The system automatically skips duplicate numbers, so you don’t pay for them twice.

Impact of Insufficient Balance

Fees are deducted from the balance only after the screening task is completed. However, if the balance is insufficient, new tasks cannot be submitted. To avoid workflow interruptions, it is recommended to maintain an estimated cost for at least one batch task in your account. Before initial use, it is advisable to recharge the minimum threshold (approximately 50 USDT) for small-scale verification.

Tracking and Optimizing Reply Rates After TG DM Outreach

Screening is only the first step; continuous iteration is the key to improving reply rates. You need to establish a loop:

Record every task: Export the numbers, the window used, gender dimension, send time, and message content.
Analyze reply rates: Compare reply rates across different windows; also compare the difference between gender-filtered and non-filtered groups.
Feed back into the next round of screening: For example, if you find the 7-day window yields high reply rates but too few numbers, try the 15-day window; or if female users reply at a higher rate than males, increase the weight of gender screening in future tasks.
Continuously update your number pool: Regularly test with broader new numbers to avoid repeatedly reaching the same batch of numbers (activity decreases over time).

Best Practice: After each DM campaign, re-test the activity of the same numbers (e.g., if you used a 7-day window last time, re-test with a 15-day window) to confirm which users are still online. Build a “highly active” user pool for priority maintenance.

Frequently Asked Questions

Q: What is Telegram Active Data? How is an “Active Number” defined?
A: Telegram Active Data refers to detecting a user’s last online time (e.g., within 7 days, 15 days, or 30 days) to determine whether the number frequently logs into Telegram. Only “active numbers” can ensure that your DM has a high probability of being seen and replied to.

Q: How much higher is the reply rate when using active numbers compared to ordinary numbers for DM outreach?
A: According to real-world tests by most operations teams, after screening with a 7-day activity window, initial DM reply rates can be 30%–50% higher than simply testing for “valid registered” numbers, depending on industry and target audience.

Q: Should I also detect gender during screening?
A: If your product or message content has male/female preferences, adding gender identification can further improve reply rates. However, note that gender identification is based on profile picture recognition and may have errors; it is best used as an auxiliary screening dimension.

Q: How to avoid wasting balance by repeatedly testing the same number?
A: Use a tool with cross-task deduplication repositories (like KK-DATA’s dedup feature). When the same number is submitted again, the system will automatically skip it and only charge for the first detection.

Q: How many numbers should I start with to test reply rates?
A: It is recommended to start with a small-scale test of fewer than 5000 numbers. Observe reply rates under different activity windows before deciding on the final quantity and screening parameters for formal campaigns.

If you want to personally verify the improvement Telegram Active Data can make to your reply rates, you can start a small-scale test right now. No subscription required – pay only for what you use, with an intuitive console interface.

👉 Log in to the console to start screening
If you have any strategic questions, you can contact customer service via two-way chat for one-on-one communication and industry-specific advice.
For detailed feature documentation, please refer to the User Manual.

Boost Reply Rates with Telegram Active Data: Best Practices for Number Screening and Direct Message Outreach

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