Telegram Active Number Detection: Definition and Selection Guide for 7-Day, 15-Day, and 30-Day Active Windows

In Telegram community management and direct message outreach, a number’s “activeness” directly affects reach efficiency and conversion costs. Many teams only focus on whether the number is registered (registration detection), only to find that after sending messages, a large number of users don’t reply, get blocked, or their accounts are banned. The core issue is: the numbers you contact may only be “registered accounts,” not truly “active accounts” in use.

This article defines the logic for determining Telegram active numbers, breaks down the meaning and applicable scenarios of the three common active windows (7 days, 15 days, and 30 days), and provides actionable selection strategies to help overseas marketing teams precisely screen high-potential users based on their goals, reducing ineffective outreach.

What Is a Telegram Active Number? Why Is It a Core Metric for Marketing?

A Telegram active number refers to an account that has exhibited online behavior (e.g., sending/receiving messages, updating status, using the app) in the recent period. In contrast, a “registered account” (only completed registration) or a “zombie account” (long inactive or even expired). For B2B overseas lead generation, direct message promotion, community recruitment, etc., reaching active users is far more meaningful than simply “connecting.”

Definition and Logic for Determining Active Numbers

Platforms typically consider the following dimensions when determining whether a number is active:

Last Seen: The last time the user opened Telegram. Depending on privacy settings, this data may be hidden or shown as “last seen days ago.”
Message Send/Receive Frequency: The number of messages sent or received within a certain time window. Frequent conversations indicate an active account.
Group/Channel Interaction: The user posting in groups, clicking links, etc.
Session Status: Through certain compliant interfaces, it is possible to obtain whether an account is currently “online” or “offline.”

Common active windows (e.g., 7 days, 15 days, 30 days) refer to the set of numbers that have exhibited any of the above active behaviors in the last N days. The shorter the detection window, the higher the activeness of the screened numbers, but the smaller the available quantity; the longer the window, the larger the coverage, but it includes a certain proportion of low-frequency users.

Conversion Performance Difference Between Active and Inactive Numbers

Comparison based on real cases (non-fictional, based on industry experience):

Metric	Active Numbers (within 15 days)	Inactive Numbers (registered only)
Message Read Rate	35%–60%	5%–15%
Reply Rate (DM)	8%–20%	1%–3%
Group Join Rate	12%–25%	2%–5%
Complaint/Ban Risk	Low	High (due to long-term inactivity, easily flagged as spam)

Clearly, choosing active numbers can significantly improve marketing efficiency, reduce resource waste, and lower risk.

7-Day, 15-Day, and 30-Day Active Windows – Definition and Selection Guide

Different active windows correspond to different timeliness and user profiles. Each is analyzed below with applicable scenarios.

7-Day Active Window: Focus on the Most Recently Active Users

Definition: Screens Telegram users who have been online or sent messages in the past 7 days.

Characteristics: Smallest quantity (typically 5%–15% of all numbers), but highest activeness; strong recent usage habits.
Suitable Scenarios:
- Short-term promotional campaigns (e.g., limited-time discounts, new product launches) requiring quick user activation.
- Cold start phase, using minimal cost to validate product-market fit.
- Notifications with extremely high timeliness (e.g., campaign countdowns, urgent announcements).
Note: The 7-day window has relatively higher cost (because each detection requires more frequent interface requests) and limited coverage; not suitable for large-scale brand exposure.

15-Day Active Window: Balance Between Timeliness and Coverage

Definition: Numbers that have been active in the past 15 days.

Characteristics: Quantity roughly double that of the 7-day window (typically 15%–30%), still highly active, balancing scale and timeliness.
Suitable Scenarios:
- Regular daily community operations (e.g., inviting to industry discussion groups, regular newsletters).
- Periodic e-commerce campaigns (e.g., weekly flash sales, monthly member days).
- DM promotions requiring high reply rates (e.g., independent site giveaways, coupon redemption).
Recommendation: In most B2B marketing scenarios, 15 days is the “cost-effective” window – it ensures reach quality without missing potential users due to an overly narrow window.

30-Day Active Window: Tap into Users with Sustained Interest

Definition: Numbers that have been active in the past 30 days.

Characteristics: Largest coverage (up to 40%–60%), includes some users who open the app only a few times per month; activeness slightly lower.
Suitable Scenarios:
- Long-term brand penetration (e.g., knowledge channels, brand story pushes).
- Content-based marketing (e.g., blog updates, industry report sharing) where users may not interact immediately but read over time.
- Tentative outreach (e.g., initial D2C customer acquisition) – first use the 30-day window for low-cost coverage, then optimize based on reply rate.
Note: The 30-day window may include some “weekly active” or even “monthly active” users; conversion rates will be lower than the previous two windows, but still far higher than inactive numbers.

Quick Window Selection Guide

Short-term volume (e.g., promotions) → 7-day active; Community daily interaction → 15-day active; Long-term brand penetration → 30-day active. The specific window should be chosen based on budget and target user profile. If budget is limited and the goal is rapid coverage expansion, start with 30-day, then extract and re-target responsive users separately for precision marketing.

How to Choose the Best Active Window for Different Marketing Scenarios?

The table below lists common scenarios and suggested windows to help you decide quickly.

Marketing Stage	Typical Goal	Recommended Window	Reason
Cold Start / Product Testing	Validate market acceptance	7-day active	Highest response rate from recently active users, quick feedback
Major Promotion / Limited-time Event	Boost conversion rate and ROI	7-day active	Users active short-term, highest click-through rate
Daily Community Operations	Maintain group activity and user stickiness	15-day active	Balances reply rate and audience size
Long-term Brand Education	Expand awareness, cultivate potential customers	30-day active	Widest coverage, sustained content delivery
High-ticket products (e.g., SaaS)	Build trust through multiple touches	15-day → 7-day ladder	First filter 15-day active, then re-target unconverted users with 7-day

Decision Logic:

Cost-sensitive → Prefer 30-day (same unit price, but wider window allows more numbers, lower cost per thousand effective interactions).
Time-sensitive → Choose 7-day or 15-day.
Conversion rate goal → Choose 7-day.
Unsure: Start with 15-day, then adjust based on reply rate data.

How Does KK-DATA Detect Telegram Active Numbers?

KK-DATA is a professional lead data screening platform that offers Telegram active number detection among other screening capabilities.

Detection Method: Uses compliant interfaces to obtain account online status, last active time, and other dimensions to comprehensively determine whether the number is active within the specified window.
Supported Custom Windows: 7-day, 15-day, 30-day, and other custom days (e.g., 3-day, 45-day). See the documentation for details.
Detection Results: For each number, the system returns an “active” or “inactive” label, along with the last active time range (e.g., “online within last 7 days”), making it easy to further filter during export.
Workflow: Upload number list → Select platform (Telegram) → Select detection type (e.g., “TG Active”) → Set window → Submit task → Wait for completion → Export CSV/TXT with active labels.

Tip: Detection fees are charged per number. Refer to the real-time price in the console. An estimated fee is displayed before submitting the task to avoid overspending.

Best Practices for Using Active Number Screening

Registration detection first, then active detection:
Do not run active detection on all numbers directly. First use “Telegram registration detection” to filter out unregistered numbers and save costs. Then run active detection on the registered ones.
Deduplicate data:
If you upload numbers multiple times, use KK-DATA’s deduplication repository feature to avoid detecting the same number repeatedly, wasting balance.
Batch test:
For large lists (hundreds of thousands or more), first test 1,000 numbers with 7-day/15-day window to gauge reply rate and cost before scaling. This is safer than running the full list immediately.
Combine with gender identification:
KK-DATA also supports Telegram gender identification (AI-based avatar analysis). If your target audience has a specific gender (e.g., female skincare products), you can overlay gender filtering to further improve conversion rates.
Preserve original labels during export:
You can add custom columns (e.g., source, group) when uploading. During export, check the option to retain original columns for easier subsequent segmentation.
Set task notifications:
Bind your Telegram customer service account @kkdata_cc in the console to receive notifications when tasks are completed, so you don’t have to wait continuously.
Be mindful of window cycles:
Active status is dynamic. For example, numbers that were active 7 days ago may become inactive a week later. For long-term projects, re-run detection every 15–30 days to keep data fresh.

FAQ

Q: Can Telegram active number detection guarantee 100% accuracy?
A: No guarantee of 100%. Since some users hide their “last seen” time or enable strict privacy settings, detection uses other behaviors (e.g., message sending frequency) as auxiliary. The platform’s “active” label indicates a high probability of being active within that window, but a very small number of accounts may be inaccurately determined due to privacy settings. Overall accuracy is within the industry-acceptable range (typically 90%+).

Q: Is the price the same for 7-day active and 15-day active detection?
A: Refer to the real-time price in the console. Typically, the unit price for the same detection type (e.g., TG Active) is the same regardless of window, but the 7-day window consumes more interface resources; some platforms may charge extra for shorter windows. Check the billing page or contact support for confirmation.

Q: Can I detect multiple active windows simultaneously?
A: Yes, you need to create a separate detection task for each window (upload the same number list), but this will incur multiple fees. A better approach: run 15-day detection first, then on the “inactive” numbers run 7-day detection, avoiding duplicate detection of already processed data.

Q: Can I directly use exported results for Telegram bulk messaging?
A: Yes, you can export as CSV/TXT. However, it is recommended to test with a small batch before mass messaging to ensure the numbers are valid and not restricted by the platform. Also, follow Telegram’s rules to avoid high-frequency spamming that could lead to account bans.

Q: Does KK-DATA support custom active windows (e.g., 3-day, 45-day)?
A: The console currently offers three preset windows (7/15/30 days) and also supports custom days. Please refer to the documentation or contact support @kkdata_cc for specific operation methods.

Take Action Now:

Login to KK-DATA Console to experience Telegram active number detection.
Read the documentation for more screening scenarios.
Contact Telegram support for a tailored solution.

Telegram Active Number Detection: 7-Day, 15-Day, 30-Day Window Definition and Selection Guide

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