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Telegram 3-Day Active Data Complete Guide: Definition, Screening Value, and Precision Targeting Strategies

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Complete Guide to Telegram 3-Day Active Data: Definition, Screening Value, and Precision Targeting Strategies

In the field of overseas marketing, Telegram 3-day active data is becoming the golden metric for precision targeting. Compared to simple “valid numbers” (i.e., numbers registered on Telegram but with no guarantee of whether the user is still active), 3-day active data means these numbers have shown online behavior within the last 72 hours—these users typically have much higher attention, open rates, and reply rates than inactive users. This article will fully break down the definition logic, filtering methods, operational strategies, and billing rules for 3-day active data, helping you spend every cent of your number screening budget wisely.

What is Telegram 3-Day Active Data? Why Is It More Valuable Than Ordinary Valid Numbers?

Definition and Judgment Logic of 3-Day Active Data

“3-day active” refers to the detected Telegram number having shown online behavior (such as sending/receiving messages, viewing channels, updating avatars, or other network behaviors recordable by the TG system) within the most recent 3 days (72 hours) from the detection time. The judgment logic is based on the “last seen” timestamp or equivalent status signals returned by the TG platform to the server.

Judgment Mechanism Explanation

3-day active detection does not read user message content, contact lists, or location information; it only analyzes system-level online markers. The platform complies with privacy requirements and only returns whether the number falls within the active window, without storing users’ personal chat content.

Active Data vs. Valid Data: The Fundamental Difference in Conversion Rates

Imagine you have 100,000 “valid” TG numbers—all registered, but 60% may have uninstalled the app, changed numbers, or stopped logging in entirely. Directly reaching these numbers might give you an open rate below 5%; however, 3-day active numbers have guaranteed online habits, and open rates can reach 30%–50% or even higher.

Data DimensionValid Numbers (Registration Only)3-Day Active Numbers
Screening CostLowerSlightly higher (precision screening)
Number VolumeLarge (filter rate usually below 10%)Small (filter rate can reach 40%–70%)
User Online ProbabilityUncertainVery high (online within 72 hours)
Recommended Conversion RateLow (1%–5%)Higher (5%–15%)
Applicable ScenariosLarge-scale DA user acquisition, brand exposureInstant event notifications, high-value product promotion

Core value of 3-day active data: Use higher screening precision in exchange for lower outreach noise. Especially when you need to control the total number of direct messages, reduce the risk of account suspension, or run time-limited promotions targeting high-intent users, 3-day active data is the sharpest tool.

How Is the TG Active Window Calculated? What’s the Difference Between 7-Day, 15-Day, and 3-Day Active?

KK-DATA platform supports multiple active window options: 3 days, 7 days, 15 days, and 30 days. These windows essentially define the “lookback range from the detection time point.” The smaller the window, the more active the screened users, but the number of candidates also decreases.

Comparison of Applicable Scenarios for Different Active Windows

Active WindowLookback RangeExample Pass RateCore Applicable Scenarios
3-day activeOnline within 72 hoursOut of 100K original numbers, about 30K–50K passTime-limited event notifications, high-conversion flash promotions
7-day activeOnline within 7 daysAbout 50K–70K passRegular community recruitment, product launch announcements
15-day activeOnline within 15 daysAbout 70K–90K passBrand retention, long-term operational audience screening
30-day activeOnline within 30 daysAbout 85K–95K passChannel performance attribution, large-scale A/B testing

3-Day Active vs. 7-Day Active: When to Choose a Narrower Window?

A narrower window (3 days) means higher precision but fewer numbers. Basis for choice:

  • Business urgency: If your promotion has only a 48–72 hour window (e.g., flash sales, launch events, limited-time benefits), 3-day active is the best choice; if the campaign can last a week, 7-day active can cover more potential users.
  • Data volume budget: After screening with 3-day active, if the remaining numbers are insufficient, you can separately run a 7-day active screening to supplement volume. Avoid starting with 7-day active if it would reduce precision.
  • User behavior habits: Users in certain verticals (e.g., Web3 players, cross-border sellers) have higher online frequency, so 3-day active is sufficient; for user groups with lower online frequency (e.g., traditional industry users), you may appropriately widen the window.

How to Filter Telegram 3-Day Active Data in KK-DATA?

The entire process takes no more than 10 minutes. Below is a step-by-step practical guide.

Step 1: Log in to the Console and Prepare Numbers

  1. Visit KK-DATA Console and log in with your registered account.
  2. In the “Number Preparation Area,” upload the file containing numbers to be detected. Supported formats: TXT, CSV, with one phone number per line (including country code, e.g., +86 13800138000). It is recommended to have at least 5,000 numbers to ensure a reasonable volume after filtering.
  3. If you need to customize numbers for detection, you can first use the “Global Number Generation” module—select target countries (e.g., US, Philippines, Indonesia), number segments, or import via CSV, generate for free, and then move to the screening module.

Step 2: Create a Screening Task and Set the 3-Day Active Window

  1. Click “Create Screening Task” and select the detection platform as Telegram.
  2. In the detection type, check “TG Active Detection” and drop down to select the window as 3 days. In some console interfaces, 3-day active is marked as “Active: 3d,” or you can find the corresponding detection type name.
  3. Optionally check to also output tgid (Telegram numeric ID) for later integration with bulk messaging tools.
  4. After confirming the task parameters, the system will display an estimated cost—calculated based on your current balance and total number of numbers to be detected. If the estimated cost is less than your balance, you can submit the task; if the balance is insufficient, recharge first (USDT TRC20 recharge supported).
  5. After submission, the task enters the queue and waits for execution. Upon completion, you will be notified via Telegram bot (must be bound in advance), or you can view the task status in the console.

Step 3: Export 3-Day Active Data and Import into Outreach Tools

  1. After the task is completed, on the “Task Details” page, click “Export Results” and select CSV or TXT format. The result file will mark whether each number belongs to the 3-day active status.
  2. It is recommended to directly export the “Active Numbers” category, excluding invalid or inactive data.
  3. Import the exported number list (including tgid or phone number) into a Telegram bulk messaging tool (e.g., Telegram BOT, custom sending scripts). Note: 3-day active data has strong timeliness; it is recommended to complete the first round of outreach within 12–24 hours after export to maximize data freshness.

With 3-Day Active Data in Hand, How to Develop a High-Conversion Outreach Strategy?

Data quality is the foundation, but the outreach strategy is the key to success. Below are operation plans tailored for 3-day active numbers.

The Golden Contact Window for Highly Active Users

Even 3-day active users show peak online times within a day. General patterns:

  • 7:00–9:00 AM: Peak for checking messages (push notifications, morning information)
  • 12:00–2:00 PM: Lunchtime for processing messages
  • 7:00–11:00 PM: Prime time for entertainment and socializing, easiest to engage

Recommended contact time: Preferably 8:00–9:30 PM, when user immersion is high and close to rest time, less likely to feel disturbed. Avoid sending between 12:00 AM–6:00 AM, as it may trigger account suspension or user annoyance.

Content Strategy for Direct Messages: How to Avoid Getting Banned

3-day active users often receive various promotional messages. If your message is too “ad-like” or sent too frequently, you risk being blocked or reported:

  • First message tone: Use a “seemingly personalized” tone, e.g., “Hi [username], I noticed you’re quite active in XX community. I’m in the XX business and would like to connect with you.” Do not start with a link or hard sell.
  • Message length: Keep it within 3–5 lines, no more than 150 characters. Longer messages are easily collapsed or ignored.
  • Send frequency: For the same number, contact at most 2 times within 7 days (first outreach, second follow-up); do not bombard daily.
  • Comply with TG official policies: Never use bulk scripts to send identical content at high frequency, as it can lead to account restrictions or bans.

Layered Operations: Different Approaches for Different Types of Active Users

Within the 3-day active user group, you can further segment:

  • High-frequency users (online multiple times daily): Use “high-interaction” content such as polls, surveys, live stream invitations.
  • Moderate active users (about once daily): Push product highlights, discount information, community entry links.
  • Edge active users (just within the 3-day window): Only one contact opportunity available; best for short messages with clear action cues (e.g., “Click to claim your exclusive benefit”).

Common Pricing and Billing Issues When Screening 3-Day Active Data

Transparent Billing Note

Before submitting a screening task in KK-DATA, the system automatically displays an estimated cost so you know the expense of each screening. For specific unit prices, please refer to real-time prices in the console. See the official billing page for details.

The per-record billing model means: you only pay for the actual detection volume you screen out. However, some users may have questions about the price of active screening. Here’s a unified explanation:

  • Why is the unit price for 3-day active higher than ordinary valid detection? Precision screening types compare more system signals and calculate real-time online windows, consuming more resources. But the ROI improvement from higher conversion rates is sufficient to cover this incremental cost.
  • Charging timing: Charges are deducted only after the task is completed; the estimated amount is temporarily frozen upon submission. If the task is canceled or fails, the freeze is automatically released.
  • Insufficient balance: New tasks cannot be submitted. It is recommended to maintain a certain balance reserve daily to avoid delays caused by last-minute recharges before campaigns.

Deduplication After Screening: Why Is Number Deduplication Also Needed for 3-Day Active Data?

Suppose you screened a batch of 3-day active data early this week, exported it, and ran a promotion. A few days later, you screen another batch of numbers (including some old numbers). It’s very likely you will detect duplicates. If you pay for each duplicate detection, your balance will be wasted quickly.

The cross-task data deduplication warehouse built into the KK-DATA platform is designed to solve this problem. You can add the already-detected numbers from past screening results into the deduplication library. When submitting a new task, the system will first match against the deduplication library and automatically skip numbers that have already been detected, avoiding duplicate charges.

Data Management Reminder

Before enabling the cross-task deduplication feature, it is recommended to review the deduplication configuration instructions to avoid accidentally deleting valid data from different dimensions.

Summary of Typical Application Scenarios for 3-Day Active Data

  • Direct message promotion: For high-intent industry groups, course sales, B2B services, etc., use 3-day active numbers to significantly increase reply rates.
  • Community recruitment: Users active within 3 days are more willing to join groups; combine with automatic invitation mechanisms to pull active numbers into paid/free communities.
  • Competitor monitoring and observation: Batch detect active users in competitors’ communities and target them for headhunting.
  • A/B test campaigns: Use 3-day active numbers as the control group and ordinary numbers as the experimental group to compare conversion differences with different creatives or scripts.
  • Channel performance attribution: After ad placements, perform 3-day active detection on numbers that clicked the ads to evaluate the quality of users from that channel.

Frequently Asked Questions

Q: Is 3-day active data always higher in conversion rate than 15-day active data?

A: Not necessarily. 3-day active data indicates the user was online within the last 72 hours, suitable for time-sensitive scenarios requiring immediate response (e.g., flash sales, urgent notifications), but the number volume will be smaller. 15-day active data has a larger volume, suitable for long-term campaigns requiring broad exposure. The best strategy is to flexibly switch windows based on business stages, rather than blindly choosing the shortest window. For example, first use 3-day active for precise conversion, then supplement with 15-day active; the combination yields better results.

Q: What is the minimum number of numbers to submit for a single 3-day active screening task in KK-DATA?

A: There is no hard lower limit, but it is recommended to submit no less than 5,000 numbers for a single task. The actual pass rate for 3-day active screening is usually between 30%–60% (varies by country/number segment). If you submit too few, the final active numbers will lack statistical significance and marketing volume. If you only have a few hundred numbers, you can first use the “Global Number Generation” module to supplement numbers from the same country segment before submitting.

Q: Are the 1-day active numbers screened today still valid for outreach tomorrow?

A: The active window only reflects the user’s behavior during a recent period; it cannot predict the future. Numbers that were active within 3 days will likely maintain their online habits within 24–48 hours after export, but the activity rate will gradually decline over time. It is recommended to complete the first round of outreach within 24 hours after screening. If you wait more than 72 hours, the “3-day active” label for these numbers will have expired, significantly reducing their reference value.

Q: Is the price displayed during screening a one-time fee? Is the unit price for 3-day active the same as for 1-month active?

A: The displayed estimated fee is calculated based on the total number of numbers you submit × the real-time unit price for that detection type on the platform. 3-day active belongs to precision screening detection, so its unit price is usually higher than ordinary valid detection and may also be higher than 1-month active detection (because the 1-month active condition is more lenient). Please check the exact figure before submitting a task in the console, or refer to the official billing page. The platform’s billing system is pay-per-record, no subscription packages—pay for what you use.

Q: In which formats can the exported 3-day active numbers be downloaded? Can they be directly imported into bulk messaging tools?

A: Common formats like CSV and TXT are supported for export. The exported content includes phone numbers, TG IDs (if configured to output tgid), active status, and other fields. TXT or CSV files can be slightly cleaned according to the format requirements of your target bulk messaging tool (e.g., Telegram BOT, custom API scripts) and then batch imported. The built-in deduplication warehouse on the platform will also automatically remove duplicate numbers across different tasks, preventing the same number from being imported into multiple tools for repeated outreach.


Want to run your first round of precision conversions with 3-day active data? Try it now.
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