TG Active Number Retargeting Guide: A Second Touch Strategy Based on Screening Results
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TG Active Number Remarketing Guide: Secondary Touch Strategy Based on Screening Results
After filtering TG numbers, is your first move to blast them all? Many overseas teams overlook the “activeness” of numbers — not every valid TG account is worth a second touch. This article will teach you how to build an efficient active number remarketing strategy based on TG activeness detection results, improving response rates and ROI. Whether you’re running community operations, cross-border e-commerce, or independent site promotions, you’ll find actionable execution methods here.
Why “Active” is Better Than “Valid” for Remarketing?
Core Differences Between Valid and Active Numbers
- TG Valid Number (Registration Check): Only checks whether the phone number is registered on Telegram. Many accounts are never used after registration or are offline for long periods; sending messages to them will only result in silence.
- TG Active Number (Activeness Check): Checks whether the account has been online within a specified time window (e.g., 7 days / 15 days / 30 days). Only active accounts are likely to see your message.
Using “valid” numbers for remarketing is like blindly handing out flyers to empty houses; using “active” numbers is like delivering precisely to inhabited doorsteps — conversion rates can be several times higher.
How Activeness Windows Affect Remarketing Strategy
Different active windows correspond to different user behavior patterns:
| Active Window | User Behavior Characteristics | Suitable Remarketing Scenarios |
|---|---|---|
| 7-day active | High frequency, almost daily online | Instant promotions, limited-time events, quick community recruitment |
| 15-day active | Medium frequency, several times a week | Regular product recommendations, industry insights, community invitations |
| 30-day active | Low frequency but not lost, may be interested in certain topics | Secondary reminders, dormant user recall, long-cycle marketing |
Recommendation: For the first remarketing wave, prioritize the “7-day active” list. Then, for subsequent waves, use “15-day active” or “30-day active” lists in batches.
Three Remarketing Scenarios Based on TG Active Lists
Scenario 1: Dormant User Recall — Re-engage Active Users from Silent Lists
Suppose you have a list of historical order users (phone numbers). Some may have changed numbers or stopped using TG. First, filter out registered users via TG valid detection, then use 7-day activeness check to screen recently active numbers. Send a targeted message like “You have a coupon waiting for you” or “Product update notification” for low-cost recall.
Execution path: Create a TG activeness detection task in KK-DATA console → Select “7-day active” → Export active numbers → Import into automated outreach tool.
Scenario 2: Community Invitations — Precisely Invite Active Users to Join Groups
Many community operators face the problem of “members join and turn into dead fans.” If you first filter numbers with 15-day activeness from your lead pool and send join invitations only to them, not only will the join rate be higher, but new members’ subsequent participation will also be significantly better than unscreened bulk invites.
Execution path: When screening, select “15-day active” → Export → Use a group invitation script or TG bot to send join links one by one (control frequency).
Scenario 3: Gender-Based Secondary Touch — Reduce Irrelevant Sends
Cross-border e-commerce often has separate product lines for men and women. Blindly sending “all-gender” lists — men receiving cosmetics ads, women receiving game packs — will naturally yield no response. Use TG activeness detection combined with gender recognition (avatar recognition) to first screen “30-day active + male” and “30-day active + female” lists, then send corresponding product content. Complaint rates and unsubscribe rates drop significantly.
Execution path: When creating a task, check both “Gender Recognition” and “Activeness Detection” → Select “30-day active” → When exporting, split files by gender → Import into different outreach flows.
Content and Rhythm Design for Remarketing
Content Design Principles: From “Identity Verification” to “Providing Value”
Active users are more willing to see useful information rather than hard sells. Suggested content progression:
- First Touch: Focus on valuable content like tool recommendations, industry reports, community events. Start with something like “Hello, we have a free resource we’d like to share with you.”
- Second Follow-up: If no reply, send a second message after 2-3 days, with a more specific benefit (e.g., “Limited-time discount code”).
- Subsequent Rounds: For active numbers still unresponsive, try different topics (e.g., “Have you been interested in XX before?”), but total touches per number should not exceed 3.
Rhythm Control: Time Interval Between First Touch and Follow-up
Suggested rules:
- First Touch: Monday to Friday, 10:00-11:00 AM or 8:00-9:00 PM (peak TG user activity hours).
- Second Follow-up: If no response to the first touch, wait 2-3 calendar days before sending the second. Avoid multiple pushes on the same day to prevent TG risk control.
- Third Touch: If still no response, wait one week and send a final reminder. Then stop touching and remove that number from the remarketing list.
Remarketing Tips
It is recommended to export TG activeness detection results with labels based on active windows (e.g., 7-day_active_male, 15-day_active_female) to facilitate precise targeting in subsequent rounds. Export format can be CSV or TXT, directly compatible with the console.
From Screening to Remarketing: How to Build a “Screen → Export → Outreach” Pipeline with KK-DATA
KK-DATA’s TG activeness detection supports custom active windows (7/15/30 days) and can also check gender recognition simultaneously. Here is a complete operational flow:
- Create Task: Log in to the KK-DATA console, select “Number Screening” → “TG Activeness Detection”. Upload a number file (supports CSV/TXT, up to ~1 million entries per batch).
- Set Screening Conditions: In the “Active Window” dropdown, select “7 days”, “15 days”, or “30 days” (you can run multiple windows in parallel, but tasks will be billed separately). If gender info is needed, check “Gender Recognition” (based on avatar recognition, not 100% accurate but usable as reference).
- Estimate Cost: Before submission, the console will display the estimated deduction amount (see real-time pricing on the official billing page).
- Task Completion & Notification: After the task is completed, you can bind Telegram notifications (in console settings, associate @kkdata_cc) or manually refresh the task list.
- Export Results: Click “Export”, select CSV or TXT format. The exported data includes number, whether active, active window, gender (if checked), and other fields.
- Import Outreach Tool: Import the CSV into your TG bulk send script, bot, or third-party marketing platform. It is recommended to create different outreach lists based on active window + gender to avoid mixing.
Recommended Workflow
Create a TG activeness detection task in the KK-DATA console → select 7/15/30 day active window (optionally check gender recognition) → after task completion, export the active list CSV → import into TG client or automation tool for remarketing pushes. The entire flow can reuse the “data dedup warehouse” to avoid duplicate charges.
Four Pitfalls to Avoid in Remarketing
Pitfall 1: Repeatedly Touching a “One-Time Valid” List
Some teams re-upload the same list for every remarketing campaign, wasting balance and risking TG risk control. KK-DATA offers a data dedup warehouse that automatically filters already-checked numbers across tasks, preventing duplicate charges. It’s advisable to place core seed lists into the dedup warehouse before submitting new tasks.
Pitfall 2: Ignoring Frequency Limits and Touch Intervals
Even if all numbers are high-quality “7-day active” ones, pushing more than 100 new messages from a single TG account in one day can lead to restrictions or bans. It is recommended that a single account sends no more than 50 messages per day, with random intervals of 2-5 seconds. Use multiple accounts in rotation to reduce risk.
Pitfall 3: Caring Only About Activeness, Not Gender
Gender-blind remarketing may send razor ads to female users, resulting in extremely low conversion. Use TG gender recognition (avatar recognition) to split lists into male/female, then match products accordingly. Even if recognition rate is not 100%, it’s far better than sending to everyone.
Pitfall 4: Using Outdated Active Lists
TG user activity status is dynamic — users active in the last 30 days last month may be offline this month. It is recommended to re-check key lists every 2-4 weeks, keeping only numbers still within the active window. The KK-DATA console supports task resubmission and uses the dedup warehouse to avoid duplicate charges, keeping costs under control.
Conclusion: Make Every Touch Count
The core of remarketing is not “quantity” but “precision.” By using TG activeness detection to filter truly online users, combined with gender recognition and window strategy, you can increase the conversion probability of every push. KK-DATA’s pay-per-use model requires no subscription — pay only for what you use, perfect for flexible remarketing plans.
Now, log in to the KK-DATA console and create your first TG activeness detection task. If you encounter any issues, refer to the official documentation or contact customer service via @kkdata_cc.
FAQ
Q: Are the TG activeness detection results real-time? How long are the results valid after task completion?
A: TG activeness detection uses Telegram’s public online status data for real-time judgment. After task completion, it is recommended to use the results within 1-2 weeks for remarketing. Beyond 2 weeks, re-run the detection as user activity status may have changed.
Q: What if my number list exceeds 1 million entries?
A: KK-DATA’s single task limit is approximately 1 million entries. If exceeded, upload in batches, or use the number generation module to generate and then import in batches. The data dedup warehouse can automatically handle cross-task duplicates.
Q: How accurate is gender recognition?
A: Gender recognition uses a neural network model based on TG avatars, with an accuracy of about 70-80%. Suitable for batch marketing filtering, but should not be used as the sole basis for user profiling. Accounts without an avatar cannot be identified.
Q: How to avoid being banned by TG during remarketing?
A: Control daily push volume per account (recommended no more than 50 messages), randomize message intervals, rotate multiple accounts, and prioritize “7-day active” high-quality lists. Also abide by Telegram’s terms of service.
Q: Can I check activeness across multiple platforms (e.g., TG + WhatsApp) simultaneously?
A: Currently, the platform supports creating TG activeness detection and WhatsApp valid detection tasks separately. For cross-platform combined lists, you can manually merge after export. Future versions may support multi-platform joint screening — follow KK-DATA official channel for updates.
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