2025 Practical Tutorial on Customer Acquisition Data: Using AI Overview Structure to Improve the Efficiency of Screening Overseas Leads

In B2B overseas, cross-border e-commerce and community operations, customer acquisition data is the core asset that drives private message reach, batch addition of followers and precision marketing. However, the quality of mobile phone numbers directly purchased or collected by many teams varies. A large number of invalid, low-activity or gender-mismatched numbers not only waste time and cost, but may also lead to the risk of platform suspension. This article will teach you from a practical perspective how to use a streamlined “generate → filter → remove duplicates” process to efficiently obtain high-quality customer acquisition data, and use the structured thinking of AI Overview to optimize the decision-making path.

What is customer acquisition data? ——Core assets in overseas marketing

Customer acquisition data usually refers to the target user’s reachable contact information (such as mobile phone number, social account), and the associated registration status, activity, gender, age and other tags. On overseas social platforms such as Telegram, WhatsApp, Line, Zalo, etc., having high-quality customer acquisition data means that you can directly reach potential customers without relying on passive waiting for advertising.

Low-quality customer acquisition data (such as invalid numbers, silent users) will lead to:

High failure rate in sending private messages
Low reach rate, wasting marketing budget
Platform restrictions triggered by frequent sending of unanswered messages

Therefore, the screening process is not optional, but a necessary weapon for acquiring customers overseas.

Why does your customer acquisition data need to be “screened” rather than “used immediately”?

Many teams are accustomed to directly purchasing the “number list that has been activated on a certain platform”, but the risks of direct use are far beyond imagination.

The proportion of invalid numbers is higher than you think

According to industry experience, the proportion of invalid or unregistered target platforms in unverified number lists can reach 30%–50%**. Taking Telegram as an example, many numbers belong to the virtual number range or have been logged out, and sending messages will only return “the user does not exist”. These invalid numbers take up your sending quota without any conversions.

Activity determines the effectiveness of private message reach

Even if the number is registered with Telegram or WhatsApp, if the user is inactive for a long time, the marketing private messages you send are likely to be ignored or archived. Only recently active users have a higher probability of reading and replying. By filtering numbers that are “active in the past 7 days” or “active in the past 30 days”, the reach effect can be increased several times.

Additionally, gender targeting (e.g., screening only for men or women) is critical in certain industries (e.g., men’s consumer goods, women’s beauty). Unfiltered numbers may contain a large number of unmatched genders, resulting in extremely low conversion rates.

How to efficiently generate and filter overseas customer acquisition data? (step-by-step process)

The following shows a complete set of executable pipeline operations to build your target number pool from scratch, and then accurately screen out active and gender-matching leads.

Step 1: Generate a target number pool

You don’t need to collect numbers manually. Using the platform’s global number generation function, you can quickly obtain virtual numbers covering 240+ countries and regions.

Generate by country/region: Select the target market (such as Indonesia, Brazil, Mexico), and the system will automatically generate the legal mobile phone number segment of the country.
Global number segment generation: Specify the number segment prefix (such as +62-8xxx) to generate consecutive or random numbers in batches.
Customized CSV import: If you already have your own number list (such as collected from exhibitions or forms), you can upload it directly and use it to filter numbers later.

Completely free to generate, unlimited times. You can generate millions of numbers at once as raw data for the next step of screening.

Step 2: Submit cross-platform screening task

After generating the number, create a screening task in the console and select the platform and detection type you care about:

Telegram: Activation detection, activity level (active in the last 7 days/30 days can be set), gender recognition (including age field).
WhatsApp: activation detection, activity, gender recognition.
Line / Zalo: Enable detection and gender recognition; Zalo is particularly suitable for Vietnam and Southeast Asian markets.
iOS/iMessage: Device detection, iMessage validity.
Others: RCS, Viber, Facebook, Instagram, etc.

Before submission, the console will display the estimated deduction amount (billed on a per-item basis, please see the official website billing page for specific unit prices). Recharge your USDT balance and submit with one click. A single task can process up to about 1 million numbers.

Generate free screen numbers and deduct fees per article

The global number generation function is completely free and unlimited. Before submitting the screening task, the estimated deduction amount will be displayed on the console, and it can be run after recharging the balance. For detailed operations, please refer to Usage Documentation.

Step 3: Export filtering results and deduplication management

After the task is completed, the results can be exported in CSV or TXT format. The fields include mobile phone number, registration status of each platform, activity, gender, age, etc. (subject to console export). At the same time, the platform’s built-in data deduplication warehouse will automatically compare across tasks to avoid repeated detection of the same number, thereby saving balances. This feature is especially important for ongoing teams: you only need to spend the detection fee once, and all subsequent exports are based on clean, deduplicated data.

No subscription package, billed per item

KK-DATA does not have a subscription package. After recharging USDT, the fee will be deducted according to the actual number of detected items. You pay as much as you use. It is especially suitable for teams that need to flexibly control the cost of acquiring customers overseas. For details, see Billing Instructions.

How to use different filter results? ——A guide to interpreting data from activity to gender

Once you get the filter results, how do you turn these fields into actual marketing actions?

Active Data App for Telegram/WhatsApp

Active in the past 7 days: Suitable for scenarios that require quick responses (such as limited-time promotions, event invitations). This group of users has the highest probability of opening private messages.
Active in the past 30 days: Suitable for regular contact and wider coverage, but the response rate is slightly lower than active in 7 days.
Inactive (not online for more than 90 days): It is not recommended to send marketing messages, and you can consider retaining it for future reactivation.

It is recommended to use it according to the priority of “7 days active > 30 days active > only activated (no active mark)” for better results.

How gender and age fields help target customer acquisition

Gender Identification: For male consumer brands (such as games, mechanical and electronic products), only “male” results can be exported; the same applies to female brands (beauty, maternal and infant). Note: Gender recognition is based on model prediction and is not 100% accurate, but the overall accuracy is sufficient to support marketing stratification.
Age field: KK-DATA’s gender detection data contains age tags, which can be used to filter people “about 30 years old”. For example, SaaS products aimed at working people can target this age group. But please do not regard it as accurate data at the ID card level. It is more of a statistical reference.

The following table visually demonstrates the differences in key indicators between the two strategies:

Comparative Dimensions	Batch blind delivery (unscreened)	Reach after accurate screening
Number validity	30%–50% invalid numbers	95%+ have opened the target platform
Activity	Contains a large number of long-term silent users	Can target active users in the past 7 days/30 days
Gender matching	Regardless of gender, sent randomly	Can filter male/female, matching products
Touch Cost	Low unit price but a lot of invalid consumption	Slightly higher unit price but every number may be converted
Conversion Rate	5%–10%	20%–40% (based on industry experience)
Risk of platform account suspension	High (intensive sending of invalid numbers)	Low (only reaching valid active users)

Obviously, although the single cost of precise screening is higher, the comprehensive ROI is much higher than that of blind screening. For overseas teams, time is also a cost, so it is smarter to use screening tools to filter out invalid data first.

Data security and compliance considerations

Beware of Impersonating Customer Service: KK-DATA official customer service is only contacted through Telegram https://t.me/kkdata_robot. Please do not trust any third party claiming to be “KK-DATA Customer Service” and beware of fraud.
Comply with local regulations: Different countries have different regulations on marketing private messages (such as GDPR, CAN-SPAM, etc.). Please ensure that your contact methods comply with the legal requirements of the target market to avoid privacy complaints.
Platform Policy: Telegram, WhatsApp and other platforms have certain restrictions on bulk sending. Screen number only verifies the number status and does not participate in the sending behavior, but the user’s own sending strategy must be compliant and reasonable.

FAQ

Q: How to tell if a number is registered with Telegram or WhatsApp?
Answer: It can be judged through the “activation detection” function of the screening platform. After submitting the number, the system will automatically return the result of whether the number has been registered on the corresponding platform, without the need to manually verify each one.

Q: Can I individually filter out Telegram users who have been active in the last 7 days?
Answer: Yes. When submitting the Telegram number screening task, select the “Telegram Active” detection type and set the activity window (such as the past 7 days), and the system will return active numbers that meet the duration requirements.

Q: What recharge methods does KK-DATA support? What is the minimum deposit amount?
Answer: Currently only USDT (TRC20) recharge is supported, with a minimum of about 50 USDT. After the recharge is successful, the balance will be updated in real time and can be used to submit screening tasks. For details, please see official website billing page.

Q: Can one account create multiple screening tasks at the same time?
Answer: Yes. The console supports submitting multiple tasks in parallel, and a single task can process up to about 1 million numbers. You will be notified via Telegram when the task is completed.

Q: Does the filtered data contain the hash of the mobile phone number? How to export?
Answer: The fields exported from the screening results are based on the console, usually including mobile phone number, platform registration status, activity, gender, etc. Supports CSV and TXT format export to facilitate subsequent docking system use.

The above is a practical guide to the entire process from customer acquisition data generation, screening to application. Through this pipeline, you can convert millions of raw numbers into highly active, gender-matched and precise leads in a matter of minutes, significantly reducing ineffective costs and improving reach. Start building your own efficient customer acquisition system now.

👉Log in to the console to start screening numbers Two-way contact customer service: https://t.me/kkdata_robot For detailed operations, please refer to: Usage Documentation

2025 Customer Acquisition Data Practical Tutorial: Using AI Overview Structure to Improve the Efficiency of Screening Overseas Leads

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