U.S. tg data customer acquisition practice: Outbound team’s screening, stratification and list management Playbook
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US tg data customer acquisition practice: Outbound team’s screening, stratification and list management Playbook
The number of Telegram users in the United States continues to grow, especially in the fields of cross-border marketing and community operations. US tg data has become an indispensable and accurate resource for the Outbound team. However, many teams are still stuck in the extensive stage of “buying numbers → mass sending”, resulting in low response rates, high account blocking rates, and waste of costs. This article will share a complete playbook from number generation, multi-dimensional screening, data deduplication to hierarchical management to help you truly transform US TG data into effective business opportunities.
Why is US Telegram data increasingly important to the Outbound team?
Telegram’s monthly active users in the United States have exceeded tens of millions, and its user groups tend to be in high-value fields such as technology, finance, cryptocurrency, and e-commerce. For the Outbound team, the biggest pain point when sending direct messages or group invitations is not “no number” but “inaccurate number”:
- Is the number registered with Telegram? (open status)
- Has this user logged in recently? (Activity)
- Does gender/age match the target population? (image tag)
If you blindly use an unfiltered number pool, sending in large quantities will trigger Telegram risk control and cause your account to be blocked. The list filtered by US TG Data can significantly reduce invalid sending and increase the response rate. For example, prioritizing male users who are “active within 7 days” is 3-5 times more efficient than random mass messaging (based on industry experience data).
What is US tg data? ——Complete link from number generation to screening
In the customer acquisition scenario, “U.S. TG data” is not a simple number list, but a collection of marketable numbers that have undergone activation testing, activity verification, and can be attached with gender/age and other tags. Taking the KK-DATA platform as an example, the complete pipeline includes:
- Number generation (free) → 2. Multi-dimensional filter number (fee charged per item) → 3. Data deduplication (automatic by the system) → 4. Export hierarchical list (CSV/TXT)
Number generation: How to obtain the real number segment in the United States?
If you don’t have a ready-made list of US numbers, you can use KK-DATA’s Global Number Generation Module:
- Select country/region: United States
- A specified number of numbers can be directly and randomly generated, covering the main number ranges (such as +1-XXX)
- Also supports uploading custom CSV (e.g. numbers collected from trade shows) as a starting point for filtering
Free to generate, no balance consumed. The generated numbers can be used immediately for number screening tasks, with a maximum of about 1 million at a time.
Filtering dimensions: activated, active, gender—which field is the most practical?
In Telegram screening tasks, we recommend selecting detection types according to the following priorities:
| Detection Dimension | Function | Outbound Scenario Suggestions |
|---|---|---|
| tg activation (registration test) | Confirm whether the number is registered with Telegram | Required, exclude unregistered numbers |
| tg active (window can be specified) | Whether the user has logged in recently (such as 7 days/30 days) | Strongly recommended, filter effective users |
| Telegram gender data | Analyze gender, age, avatar and other fields | Optional, used for crowd targeting |
Key points: In the outbound scenario, “active” is more important than “activated”. Sending messages to a number that was registered three years ago but never logged in is almost ineffective. It is recommended to select “30 days active” during the initial screening, and then adjust based on the response rate.
How to filter high-quality US tg data? ——Three-step practical process
The following is a typical daily operation process of the Outbound team (taking the KK-DATA console as an example):
Step one: Prepare number pool - global number generation vs. self-prepared numbers
| Scenario | Recommended method | Remarks |
|---|---|---|
| No own number | Use the platform “Global Number Generation”, select the United States, generate 100,000 | Free, can be used as an initial seed pool |
| Already have an industry list or numbers collected from exhibitions | Directly import CSV and submit the filter number | Note that the single limit is about 1 million |
Step 2: Submit the screening task—focus on the active window and gender fields
Log in to KK-DATA Console and create a Telegram screening task:
- Check “tg activated” and “tg active”
- Set active window: “Within 30 days” is recommended (can be adjusted to 7 days/90 days)
- If gender targeting is required, check “telegram gender data”
- The estimated cost will be displayed before the task is submitted (billed by item, please see the real-time price on the console for unit price details)
- Submit after confirmation and wait for the task to be completed (usually a few minutes to a few hours depending on the quantity)
Tip: How to choose the active window?
For US TG data, it is recommended to use “30 days active” as the benchmark for initial screening. If the goal is high conversion (such as paid products), you can further narrow the scope with “7 days active”; if you are pursuing volume (such as brand exposure), you can relax it to “90 days active”. The specific window can be adjusted based on the historical response rate.
Step 3: Export and layer - how to manage number lists with different labels
After the task is completed, export the results in CSV format, containing the following columns:
- phone_number (number)
- tg_open (open: yes/no)
- tg_active (active: yes/no)
- gender (gender: male/female/unknown)
- age (age, partial value)
- tgid (Telegram unique identifier)
It is recommended to manage according to the following hierarchical logic in Excel or CRM:
| Hierarchical tags | Conditions | Strategies |
|---|---|---|
| A-level list (high value) | Active + male + age 25-45 | Priority delivery, high conversion products |
| B-level list (medium value) | Active + female + age 20-40 | Second priority, suitable for women-oriented products |
| C-level list (low activity) | Activated but not active within 30 days | Can be retained, but the sending frequency will be reduced |
| Invalid list | Not activated | Delete directly |
Import the hierarchical list into CRM or manually assign it to different Telegram sending accounts to start serialized outreach.
Why is data deduplication the core of list management?
Many Outbound teams operate multiple screening tasks at the same time, or import the same batch of numbers multiple times, resulting in duplicate detection and wasted balance. KK-DATA has a built-in data deduplication warehouse that can automatically identify across tasks:
- Before submitting a new task, the system will check whether the number has been detected (same detection type)
- Numbers that have been detected will no longer be charged repeatedly
- You can also manually trigger “Deduplication and Delete History” in the console
Note: Avoid repeated detection of loss balance
If the team uses multiple screening tasks at the same time, be sure to deduplicate the numbers across tasks before submitting a new task. The platform provides a built-in deduplication warehouse. You can view historical detection records on the console and deduplicate them with one click to avoid paying twice for the same number.
Best practice: Before each new task, use the “Data Deduplication Warehouse” to clean the number pool, and then submit the screening number. Especially when multiple operators operate independently, using the same account can maximize cost savings.
Common misunderstandings of the Outbound team: over-reliance on the number of numbers and ignoring activity and timeliness
Typical error: only detecting “activated” but not “active”, resulting in a large number of invalid numbers after they enter the sending queue. For example, among 100,000 activated numbers, only 30% may be active in the past 30 days. If sent directly, 70% of the sent volume is wasted.
Suggested Rules:
- Recheck the activity of the old list every 2–4 weeks (especially the “30-day active” window, where some users will be invalidated every week)
- Test a small amount first, then deliver in batches: Extract 500 numbers from the A-level list to test the copy, optimize it based on the response rate, and then use the remaining list
Compared with data from other social platforms, what are the advantages of US tg data in outbound scenarios?
| Platform | US user stickiness | Private message openness | Unique advantages |
|---|---|---|---|
| Telegram | High (strong community atmosphere) | High (two-way private messaging possible) | tgid can be exported and can bypass number changes |
| Very high | Medium (requires status verification first) | Wide user coverage, but US penetration is slightly lower than Telegram | |
| Line | Low | Low | Mainly in Asian markets |
| Zalo | Very low | Very low | Vietnam only |
For the US market, Telegram’s advantages are: rich group/channel ecology, relatively high user acceptance of private messages, and the exported tgid can be combined with the Bot API to achieve persistent access. If your target customer group is technology, finance, and e-commerce practitioners, US tg data is the best choice.
FAQ
Question: How accurate is the “gender field” in the US tg data?
Answer: The gender field is inferred by the platform through algorithm model analysis of user public information (such as nickname, avatar, profile, associated data), and is not ID card-level accuracy. It is suitable for targeted screening of the population (such as promoting men’s skin care to male users), but is not recommended for use in scenarios that require 100% accurate gender verification (such as government approval). In actual use, it is recommended to interpret it together with the age field.
Question: Can all generated US numbers be detected and activated?
Answer: No. The generated numbers are randomly generated based on the US number range, and some numbers may not be registered by any user. The number screening task will only mark those numbers whose “tg activation” status is “yes”. Unactivated numbers are not billed (see console rules for details). It is recommended to generate a sufficient quantity at one time and then keep only the activation results.
Question: How does the Outbound team avoid being banned?
Answer: The platform only provides number screening and export services and does not involve sending actions. The risk of being banned is usually related to the frequency of sending, content, and equipment environment. Recommendations: 1) Only send active numbers; 2) Control the daily sending volume; 3) Use multiple Telegram account rotations; 4) Avoid sending messages that violate regulations or have a strong sense of marketing.
Question: What is the use of “tgid” in the filter results?
Answer: tgid is the unique identifier of a Telegram user. After exporting the tgid, you can use Telegram Bot API or third-party tools to directly send messages or add them to groups without relying on mobile phone numbers. For the outbound team, this can bypass the problem of loss of contact caused by number changes and improve the long-term effectiveness of the list.
Question: Can the balance be refunded after recharging? What happens to unused balance?
Answer: After recharging (USDT), the balance will not be refunded or exchanged by default, but it can be used for any screen number detection tasks within the platform. It is recommended to start with a small amount (such as 50 USDT) for the initial deposit, and then decide whether to add more after testing the workflow. For specific refund policy, please refer to [Official Website Billing Instructions] (https://kkdata.cc/billing/) or contact customer service.
Want to implement this US tg data Outbound Playbook in actual business? You can now register an account for free and experience number generation.
👉Log in to the console to start screening numbers Two-way contact customer service:https://t.me/kkdata_robot 📖 Usage documentation: https://docs.kkdata.cc/ 🌐 Official website homepage: https://kkdata.cc/
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