How to get a US active WS number with high conversion rate when going overseas for B2B SaaS? From ICP definition to precise screening and full analysis

If you are doing B2B SaaS overseas, especially the customer acquisition scenario for the US market, you must have encountered this problem: spending time collecting or purchasing a large number of US WhatsApp numbers, sending thousands of messages, but only getting a response rate of less than 5%. The problem may not be the language, but the number itself - you are using a normal activation number, not a US active WS number.

This article will start with the definition of ICP (ideal customer profile), teach you how to break down user needs into filterable fields, and then go through the three-layer detection system to get the “US active WhatsApp numbers” that can truly bring conversions. The entire process is combined with the functions of the KK-DATA platform, and we work with you to sort out a set of operational procedures that can be implemented.

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Why does B2B SaaS require an active US WS number instead of an ordinary number when going overseas?

B2B decision-makers in the United States are bombarded with a large number of marketing messages every day. If your number is only verified as “activated”, the other party may not have opened WhatsApp in three months, or may have changed their number. Activity determines whether the message can be seen, and “being seen” is the prerequisite for conversion.

Difference in customer acquisition cost for ordinary activated numbers vs. active numbers

Comparison Dimensions	Common Open Numbers	US Active WS Numbers (Example 30 Day Window)
Delivery rate	60%–70% (some numbers are offline/expired)	85%–95% (most can be received immediately)
Response rate	Typically < 5%	15%–20% (depending on skill fit)
Abandonment rate (the other party closes as soon as it opens)	Very high (low activity means not reading)	Medium (at least willing to read)
Single customer acquisition cost	Appearance is low, but actual ineffective cost is high	Appearance is slightly higher, but ROI is usually 2–3 times higher

The numbers speak for themselves: instead of spending 100 yuan to buy 100,000 “possibly alive” numbers, it is better to spend 50 yuan to buy 10,000 US active WS numbers, and the number of responses may be even greater.

The practical definition of “active” in the B2B SaaS scenario

Being active does not mean “online this week.” For B2B customer acquisition, we are more concerned about whether the other party has used WhatsApp to send and receive messages recently, or updated their avatar/status. KK-DATA provides flexible active window options, which you can choose according to the business cycle:

• 7 days active: Suitable for short-term activities such as same-day promotions and limited-time trials.
• 30 days active: Suitable for B2B software trial invitations, free demo reservations and other scenarios with long decision-making cycles.
• Customized window: If you know the target user’s purchasing cycle (for example, 45 days), you can set it accurately.

It is recommended that B2B SaaS teams choose at least 30 days active as decision makers tend not to respond right away but will see and consider it within 1–2 weeks.

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Define your ICP: How do US B2B SaaS user personas map to mobile phone number fields?

Many people import tens of thousands of U.S. numbers and start testing as soon as they get started. As a result, a bunch of women, students, and non-English speaking users come out—not the IT decision-makers or HR leaders you want at all. **Screen numbers without ICP are equal to blind typing. **

Field mapping example: from ICP to filter conditions

Let’s take “AI customer service tools for small and medium-sized enterprises in the United States” as an example:

ICP Dimensions	Ideal Portraits	Mappable Screen Number Fields
Industry	Technology, e-commerce, SaaS	There is currently no direct industry field (can be assisted by TG/WA username or Telgram ID features)
Position	Founder, CEO, CTO	You can try to connect through TG public information or social account
Company size	10–200 people	Indirectly inferred by region + age (managers are typically 28–45 years old)
Region	50 U.S. states (focusing on California, New York, and Texas)	Number location → U.S. number segment + region filtering
Gender	More men (technical decision-makers)	KK-DATA’s gender detection field (supported by both TG and WA)
Age	30–45 years old	Age field (statistical inference result, not ID card level)

How to use: When submitting the US WS number screening task to KK-DATA, check “Gender” and “Age”, and then further filter by the age range (such as 30–45 years old) in the exported results. TG screen number also supports tg gender data, including gender, age and other fields, which can be used to interpret people around 30 years old.

Why “screening for activation but not active screening” wastes budget

For example: You purchased 100,000 U.S. mobile phone numbers, and after activating the test, 80,000 are left (20% expire). Then you use these 80,000 to send messages, and the response rate is less than 2% - because most of the numbers are marketing accounts, test accounts, or zombies who have not logged in for several months. **The activation test only tells you whether the account is registered for WhatsApp, it does not mean that the account owner is watching. **

The truly effective method is: first screen for activation, then screen for activity (for example, 30 days), and then screen for ICP fields (gender, age). Each step eliminates a large number of invalid numbers, but each one that remains has high conversion potential.

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US WS number detection tiers: Which tier is your list on?

We divide detection into three levels. B2B SaaS teams must achieve at least the second level, and the optimal solution is the third level.

The first level: activation detection - whether the number exists

Function: Verify whether the number is registered with WhatsApp / Telegram / Line and other platforms.
Limitations: It is impossible to distinguish real users from test accounts and abandoned accounts.
When to use: When you only have basic cost control needs, or as a preprocessing step for subsequent levels. It is recommended that you only use the activation detection as a tool to “clean up dead accounts” and do not use it directly for sending.

Second level: Activity detection - whether the number is in use

Core: Determine the activity by detecting the recent online time of the number on the platform and the frequency of sending and receiving messages.
KK-DATA supports active window technology, you can specify “7 days”, “15 days”, “30 days”, etc.
Recommendation: A 30-day window is optional for B2B SaaS; if the target user is sales/customer service who frequently use WhatsApp, a 7-day window is optional, but the number of numbers will be smaller.

The third layer: gender/age/region - whether the number complies with ICP

Core: Use the platform’s public data (such as gender, age, avatar in TG information) or WA’s social relationships to infer the user’s portrait.
Note: The age data is statistical inference, not an ID number, but it is enough to filter out people “around 30 years old”.
Purpose: Help you target men/women, specific age groups, and even target states by area code segment.

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How to efficiently connect the filtered US active WS numbers with the CRM system?

After obtaining a high-quality list, the next step is to automatically import it into CRM and tag it.

Best practices for list field mapping

When exporting CSV from KK-DATA, it is recommended to retain and map the following fields:

CSV fields	CRM fields	Sample values
phone	mobile number	+1xxxxxxxxxx
is_active	active status	true (30d active)
gender	gender	male / female
age	age	32
platform	platform source	whatsapp
task_tag	task tag	WA_30d_active_Male_25_40

It is recommended to add tags: Create a Smart List in CRM with the rule: 标签包含 "WA_30d_active_Male_25_40" and automatically belong to the corresponding sales group. This way, after each filter, you only need to import the CSV and trigger the automated process.

The importance of deduplication warehouse

If you screen numbers multiple times (for example, first screen for WA activation across the United States, then screen for activity, and then screen for gender), the numbers generated in the middle may be repeatedly tested, which wastes your balance. KK-DATA has a built-in data deduplication warehouse, which will automatically record the detection status of the tested number and skip it directly when submitting the same number next time without deducting the fee twice. For high-frequency screening teams, this feature can save at least 30%–50% on monthly testing costs.

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Common misunderstandings in implementation and suggestions for countermeasures

Misunderstanding	Correct approach
Do not define ICP direct filter number	First list 3–5 ICP characteristics (industry, position, age) and map them to filter fields
Only look at activation but not activity	Do at least two layers of activation + activity detection, B2B recommends a 30-day window
Ignore the US time zone difference	Select the target state number range (such as California 310, Texas 512) and avoid sending at night
Screening too many numbers at once	It is recommended to test 5000-10000 numbers first, and then expand the number based on the response rate and ICP compliance
Import into CRM without verifying the results	Do AB testing with a small number of numbers first to compare the effects of different active windows

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Case Study: From Blind Casting to ICP Precise Screening—The Journey of a Fictional Team

Suppose you are a team building AI customer service tools for small and medium-sized businesses in the United States. In the early stage, you directly purchased 50,000 “US WhatsApp numbers” (only guaranteed activation), which cost about 2,000 yuan. After sending, the response rate was less than 3%, there were only 10 Demo reservations, and the cost was as high as 200 yuan/appointment. Team morale is low.

Later, you changed the method:

1. Definition ICP: Decision makers are male, 30–45 years old, corporate technology leaders, primarily located in California and New York.
2. Use KK-DATA’s “US Number Segment Generation” function to generate 500,000 US numbers (free).
3. First level: Enable detection → Reserve about 350,000 items.
4. Tier 2: Active detection (30-day window) → retain approximately 100,000 items.
5. Third level: Gender/age detection → Screen out males, 30–45 years old → Finally get 25,000 US active WS numbers.
6. Import CRM and label it, and send it in 4 days, 6,000 items per day.

Results: The response rate increased to 18%, 450 Demo reservations were made, and the cost of a single reservation dropped to 8 yuan. 25x improvement in ROI.

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FAQ

**Q: What is the difference between a US active WS number and a regular US WhatsApp number? ** Answer: Ordinary numbers are only verified as “activated” (that is, registered for WhatsApp), but the account owner may not log in for several months. The active number confirms the user’s existence by detecting the recent online time or the frequency of sending and receiving messages, and the possibility of replying is higher.

**Q: Are the gender/age fields in KK-DATA accurate? Can it be accurate to the ID card level? ** Answer: No. Gender and age fields are statistically inferred from public information on social platforms (such as TG profiles, avatar recognition) and can be used for targeted delivery, but should not be used as unique identity verification. For B2B customer acquisition, this kind of vague targeting is enough to filter out more than 70% of irrelevant leads.

**Q: Can I only do activation testing without active testing? ** Answer: Yes, but not recommended. A large number of activated numbers are zombie accounts or marketing accounts, and sending them directly may result in high abandonment rates and complaints. Paired with at least one active detection (such as a 30-day window), the quality can be greatly improved.

**Q: How to avoid wasting balance by duplicate detection numbers? ** Answer: If you use KK-DATA’s data deduplication warehouse, the system will automatically skip the measured numbers and no repeated deductions will be made. It is recommended to import the historical measured number list to remove duplicates before each new task.

**Q: Can I filter numbers only for a certain state in the United States (such as California)? ** Answer: Yes. Select the California number segment under “United States” during the number generation phase, or manually specify the California number segment before filtering numbers. KK-DATA supports CSV import of custom number segments to facilitate precise filtering by region.

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Now, you may already know the complete process from ICP definition to three-layer screening to CRM integration. The next step is to do it yourself:

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