B2B SaaS going overseas: How to use valid US TG numbers to accurately screen ICP and improve customer acquisition efficiency

For B2B SaaS teams, the North American market, especially the United States, is an unavoidable high ground for overseas expansion. But when acquiring customers through the Telegram channel, a core question is: What does the US valid TG number you get mean? Many teams treat all US numbers “registered with Telegram” as golden leads, only to find that the response rate after sending messages in bulk is woefully low. This is not because the number itself is invalid, but because your screening logic is not aligned with the real customer profile.

A real US valid tg number, not just a boolean value for “Open Telegram”. It should be filtered through multiple layers (activation, activity, gender, age and other dimensions), and finally matched to high-value touch points of your Ideal Customer Profile (ICP). This article starts from the ICP definition of B2B SaaS and breaks down how to upgrade customer acquisition efficiency from “casting a wide net” to “targeted fishing” through the hierarchical screening of US Telegram activation number.

Why does B2B SaaS need a real “US valid TG number” when going overseas?

The understanding of “valid number” in the market generally remains at “can be registered” or “can be searched”. But the customer acquisition logic of B2B SaaS is completely different. Your target customers are not simply “U.S. Telegram users”, but “U.S. business decision-makers who are using Telegram.”

Compare two scenarios:

• Extensive mass sending: There is a batch of US TG activated numbers, and they are all pushed indiscriminately. Suppose you have 10,000 accounts, of which only 30% may be active users, and only 5% of them meet your ICP (such as SaaS founders, technical leaders). The final reach cost is high, and a large number of invalid pushes lead to account risk control risks.
• Targeted Reach: Using US TG activation number as the premise, further filter out users who are “active in the last 7 days”, “gender is male” and “age 28-45 years old”. Although the number of this batch of lists may only be 2,000, the conversion rate is much higher than that of extensive sending.

Therefore, the real value of US valid tg number lies in whether it can support your ICP granular screening. It’s not enough to just look at “open”, you have to combine activity and demographic fields to make the number truly “effective” for your business goals.

What is ICP and how does B2B SaaS define your US target customers?

ICP (Ideal Customer Profile) is your customer profile that is easiest to convert and has the highest lifetime value. In the TG customer acquisition scenario, ICP cannot remain as a vague “American business owner”, but must be transformed into filterable data dimensions.

According to the product value proposition, disassemble the necessary fields of ICP

Assuming your SaaS is a project management tool, a typical ICP might be:

• Industry: technology, Internet, e-commerce
• Position: CTO, technical manager, or founder of small and medium-sized teams
• Region: United States (and is an area densely populated by technology companies)
• Decision-making gender: Mainly male (please refer to industry data for the proportion)
• Active Window: Used Telegram in the last 7–30 days

Convert ICP into executable TG filtering dimensions

With the depth fields of US tg provisioning data, you can convert ICP into the following filtering logic:

ICP Properties	TG Filterable Dimensions	Description
Decision-makers in the technology industry	Gender (focusing on men) + age range (28–45 years old)	Preliminarily targeting the decision-making group through TG gender detection and age fields
High-intent leads	Activity (7 days / 14 days / 30 days)	Narrow the active window to reach users who have recently used Telegram
Exclude invalid users	Activation status (exclude unregistered/cancelled accounts)	This is the basic threshold, but it must be used in conjunction with active detection
No need to filter	The specific value of the age field (not the precision of the ID card)	Used to interpret people around 30 years old, rather than precise age filtering

Please note: The age field in the tg gender detection results can only be used for rough range interpretation and cannot be regarded as ID card-level data. But sufficient for coarse screening of ICP.

How to know if a TG number is blocked or invalid?

Telegram’s number status is much more than just “registered/unregistered”. Only by understanding these states can you make good use of the filtering levels of US Telegram Numbers.

Detection level	Detection content	Value to B2B SaaS
Activation detection (registered)	Whether the number is registered in Telegram	Basic threshold, exclude invalid numbers
Activity detection (window can be specified)	Whether the number has logged into Telegram within the specified time window	Extremely high value, directly corresponding to “reachable”
In-depth filtering (gender/age)	Infer the user’s gender, age range, etc. based on public information	Used for ICP matching to target decision makers

For example: After three layers of filtering, a US TG activated number may change from a “registered number” to a “30-40-year-old user who is active in the last 7 days and is male.” This is a truly valuable clue.

How do B2B SaaS teams obtain and filter valid US TG numbers?

With the ICP framework and detection level awareness in place, the next step is practical implementation. KK-DATA provides a closed-loop process from number generation to multi-layer screening.

Option 1: Use global number segment generation + custom conditions to generate a US number pool

• Enter KK-DATA Console and select “Global Number Generation”.
• The selected country/region is “United States”.
• You can use “Number Segment Generation” or “Custom CSV Import” to generate a pool of random numbers.
• Important: The generated numbers are unfiltered original numbers and need to be tested to know which ones are US TG opening numbers.

Option 2: Import the existing number library and perform multi-layer batch TG screening

• If you already have a list of numbers on hand (e.g. collected from a trade show), import the CSV file directly.
• When creating a screening task, select Telegram as the platform.
• Select between detection types:
  • “tg activation (registration test)”
  • “tg active” (and specify the active window, e.g. 7 days)
  • “telegram gender data” (including gender and age fields)
• A maximum of approximately 1 million numbers can be submitted in a single task.
• The system will display the estimated fee before submission (see the real-time price on the console for details), and execution can only be carried out if the balance is sufficient.

After filtering is complete, you can export the results in CSV format. Fields include: number, whether it is activated, activity level (number of days since last online time), gender, age range, tgid, etc. These fields provide the basis for subsequent accurate push.

Common misunderstandings and key points to note when selecting valid TG numbers in the United States

1. Only look at activation but not activity: This is the most common mistake. A number that has not logged in for half a year has zero activity and a very low push success rate.
2. Ignore data deduplication: Submitting the same number list repeatedly will not only waste your balance, but may also lead to deviations in the screening results. Be sure to use the deduplication warehouse feature.
3. Do not pay attention to field matching ICP: Only filtering “US TG activation number” without looking at gender/age is equivalent to giving up the ICP targeting capability. For example, if a SaaS tool is promoted to male decision-makers, but a large number of female users are screened out, the conversion rate will naturally be low.
4. Treat the age field as ID card accuracy: The source of TG’s age information is inference, which is not accurate. Recommended for use as interval reference rather than fine filtering.
5. No testing for batch sending: Even for high-value lists, the first push should be tested in small batches (for example, 50–100 items) to observe the response rate and risk control response, and then gradually increase the volume.

How to integrate the filtered US valid TG numbers into the customer acquisition workflow?

Screening is only the first step, and subsequent reach strategies can be truly effective.

• Precise push using tgid: The filtering results include tgid (Telegram internal user ID). This ID is more stable than the Phone Number when adding private messages or groups. You can import tgid into automation tools for targeted message push.
• Batch testing: Divide the filtered list into A/B groups and use different message templates to test conversion rates. For example: one group sends “product function introduction” and the other group sends “industry white paper download” to compare the open rate and response rate.
• Continuous optimization of ICP fields: Based on the characteristics of the first batch of responding users, review the ICP filtering dimensions (such as whether the age range needs to be narrowed, whether the active window is new enough), and continuously calibrate the filtering logic.

FAQ

Question: Does a valid tg number in the United States necessarily equal high-quality leads for later customer acquisition?

Answer: Not necessarily. Having a number registered with Telegram is only a basic requirement. High-value leads need to be overlaid with fields such as activity, gender, age range, etc. to match ICP. A purely valid number may be a “zombie account” or a non-target user.

Question: What does the activity detection of TG number specifically detect?

Answer: Activity detection determines whether the number has logged into Telegram within the specified time window (such as the past 7 days, 14 days, 30 days). The narrower the window, the higher the “reachability” of the number. KK-DATA supports customizing active windows.

Q: Why is filtering out gender and age fields valuable for B2B SaaS?

Answer: Most B2B decision-makers have obvious gender and age distribution characteristics. By filtering by gender and age range, you can quickly locate groups that are more likely to become customers from a large number of US TG activation numbers and improve conversion efficiency.

Question: How many US TG activation numbers can be filtered at most at one time?

Answer: A maximum of about 1 million numbers can be submitted for screening in a single task. But the premise is that your account balance is enough to cover the detection fee (see the real-time price on the console for details).

Question: How to export the field information of these valid TG numbers in the United States after filtering?

Answer: The results support exporting in common formats such as CSV, TXT, etc. Fields include number, activation status, active status, last online time, gender, age, tgid, etc.

---

Directly implementing the ICP matching strategy is the key to making good use of US valid tg number. Get started now with KK-DATA.

👉Log in to the console to start screening numbers Two-way contact customer service: https://t.me/kkdata_robot Official website: https://kkdata.cc/ Documentation: https://docs.kkdata.cc/