How to use customer acquisition data to improve the ROI of overseas customer acquisition? A guide to reusable screening algorithms

The ROI of overseas customer acquisition has always been the core focus of the operations team. Many people spend their energy on polishing copywriting and optimizing landing pages, but ignore a more basic link - the quality of customer acquisition data itself.如果触达的号码中有一半是空号、未注册，或者用户已经几个月没有上线，那么再好的文案也无法挽回浪费掉的成本和机会。

本文将从“获客数据”的定义出发，拆解三个核心筛号维度，并分享一套可复用的“生成→筛选→导出”流水线，帮助您用更少的预算获得更高的有效触达率。

What is customer acquisition data? Why does it directly impact ROI?

Simply put, customer acquisition data refers to social platform user numbers (mobile phone numbers or IDs) that have been filtered, tagged, and verified. It is no longer an original list of numbers, but “high-value leads” with valid status, activity and even crowd portraits. Its quality directly determines ROI - high-quality data means lower invalid contact costs and higher conversion probability.

Three key attributes of customer acquisition data

• Validity: Whether the number has been registered with the target platform (such as Telegram, WhatsApp). Invalid numbers will directly lead to failure to send, wasting the cost of each contact.
• Activity: Whether the user has recent online or usage behavior. Active users are more likely to respond immediately and have a shorter conversion window.
• Crowd portrait: Attributes such as gender, age group, etc. can help achieve precise targeting. For example, promote financial or gaming products to male users in their 30s.

Why “more numbers ≠ higher ROI”

Suppose you have 100,000 original numbers, but only 30,000 of them are registered Telegram users. If you directly send messages to all numbers, not only will 70,000 messages fail, but a large amount of balance and manual processing time will be wasted due to “invalid contact”. On the contrary, if you first screen out 30,000 valid numbers, and then screen out 20,000 young users who have been active in the past 7 days, the conversion probability will increase significantly. The quantity is less, but the value of each item is higher.

How to use data detection to improve customer acquisition ROI? Three core screen size dimensions

As the following three dimensions go from shallower to deeper, the cost increases in sequence, but the potential for ROI improvement also increases in sequence. It is recommended to perform them in order.

Dimension One: Number Validity Detection - Filter out “obsolete numbers” to save balance

This is the most basic and most cost-effective step. Through activation detection (such as Telegram registration detection, iMessage validity detection), unregistered or logged-out numbers can be quickly eliminated. Only numbers that pass validity verification can enter subsequent in-depth screening.

• Scenario: When promoting the Southeast Asian market, first check whether the number is registered with Zalo or Line.
• Method: Submit the original numbers to the number screening platform in batches, and select “Open Testing” of the corresponding platform.
• Result: Obtain a “valid number list”, which directly reduces the proportion of invalid sending.

Dimension 2: Activity filtering - locking in users who can be reached in the near future

A valid number is not equal to an active number. Users who were active in the past 30 days are more likely to trigger interactions than users who were active 90 days ago. Liveness detection helps you focus your money on the “most promising” groups.

• Window Selection: 7 days active vs 30 days active. The shorter the activity window, the higher the probability that the user will be online, but the fewer numbers will be filtered out. You need to balance it with your budget and goals.
• Cost Consideration: Activity detection is usually more expensive than simple activation detection, but the ROI improvement is also more obvious.

Dimension Three: Gender and Group Targeting - Precise Filters to Improve Conversion Rates

After you have the validity and activity information, the last step is to filter the population through the gender field and age field.例如，Telegram 的性别检测结果可以提供用户的性别和大致年龄段（如约 30 岁），您可以根据产品特性保留目标人群。

A set of reusable “generate→filter→export” efficient pipeline

The following steps take the KK-DATA platform as an example to show how to build a complete process from scratch to exportable high-value data. This process can also be migrated to other screening tools with similar functions.

Step 1: Get the original number - generate and import

Before screening numbers, you need a list of original numbers. You can choose:

• Global Number Generation: Covering 240+ countries/regions, numbers are randomly generated by country or number range.
• Custom CSV import: If you already have your own data source, upload the CSV file directly.

Note: The number generation itself is usually free, and the number is deducted on a per-item basis.

Step 2: Batch multi-platform screen numbers - merge detection tasks

On the task creation interface of KK-DATA, you can check multiple platforms at the same time (such as Telegram + WhatsApp + Line) and select the corresponding detection type (activated, active, gender). Get the status of each number on multiple platforms in one go with a single submission.

• Operation example: Select “Telegram activated” + “WhatsApp active” + “Line gender” to export the results at once.
• Result: Get a general table, including the validity, activity, and gender data of each number on each platform.

Step 3: Data deduplication and export - avoid duplication and waste

After multiple batches of tasks are accumulated, duplicate numbers may be encountered. KK-DATA provides Cross-task deduplication warehouse. When you import a new batch, the system automatically compares historical data to avoid repeated detection and repeated deductions for the same number.

• After deduplication, choose CSV or TXT format to export the filtered results.
• Common export fields include: mobile phone number, platform status, activity, gender, age, tgid, etc.

How to measure the ROI improvement brought by screen numbers? Three Metrics to Track

No complex accounting model is required, only the following proportional changes need to be tracked.

Indicators	Before filter number	After filter number	Meaning of change
Effective reach rate	40% (relying on raw data only)	85% (after effectiveness + activity filtering)	Invalid contacts are significantly reduced
Single effective contact cost	Assume that sending a message is fixed at 0.01 yuan	When the proportion of valid numbers increases from 40% to 85%, the amortized cost is reduced by about 53%	The budget utilization rate is doubled
Conversion rate	2% (untargeted)	8% (active + gender targeted)	With the same reach, the number of customers acquired increased

Common Misunderstandings and Pitfall Avoidance Guide

Misunderstanding 1: Confusing “activated” and “active”

Activation only means that the number has been registered, and active means that it has been used recently. If you use “activation” data for marketing, a certain proportion of users will still be lost. It is recommended to adhere to the strategy of “open first, then activate”.

Misunderstanding 2: Ignoring deduplication leads to wasted balance

Repeated detection of the same batch number at different times and in different tasks will consume the balance in vain. Choose a platform that supports cross-task deduplication (such as KK-DATA), or manually compare historical data before importing.

Misunderstanding 3: Only looking at quantity but not quality

Rather use 10,000 high-quality numbers filtered for activity + gender than blindly pursue 1 million raw data. Although the latter seems to be huge, its actual effective reach may not be as good as the former.

FAQ

**Q: How long will it take for the filtered data to become invalid? **

Answer: The registration status of the number is relatively stable (unless the user cancels the account), but the activity data will change over time. It is recommended to update regularly according to the rhythm of the business, such as monthly or quarterly retesting. For upcoming promotions, it’s a good idea to retest activity 1–3 days before the event.

**Q: Can I detect the status of a number on multiple platforms at the same time? **

Answer: Yes. At present, most screening platforms (such as KK-DATA) support checking multiple social platforms (such as Telegram + WhatsApp + Line) in the same task, and you can get the activation and activity data of multiple platforms with one submission. This significantly reduces overall data preparation time.

**Q: How accurate is the filtered gender data? **

Answer: Gender data mainly comes from public information filled in by users or inferred by the platform, and is not ID card-level accuracy. It is suitable as a directional reference (such as the general direction distinction of male vs female), but is not recommended as the sole basis for decision-making. It is recommended to make a comprehensive judgment based on activity, region and other fields.

**Q: If the balance is insufficient, can the task be partially completed? **

Answer: The current platform design is to deduct the corresponding fee in one go after the task is completed. Insufficient balance will cause the task to be unable to be submitted. The estimated fee will be displayed before submission. Please make sure you have sufficient balance before recharging in one go. The low threshold is about 50 USDT (TRC20), and anonymous recharge is supported.

**Q: Does the exported data include platform internal ID (such as TG ID)? **

Answer: Some detection types (such as Telegram filter numbers) support exporting platform internal identifiers such as tgid and wsid to facilitate docking with the customer management (CRM) system. For specific export fields, please refer to the column options in the console interface.

Summary and action suggestions

The core path to improve customer acquisition ROI is not complicated: Filter useless accounts → Target active accounts → Target people. Each step has corresponding data detection tools that can be implemented. As a platform that integrates generation, screening, deduplication, and export, KK-DATA can help you directly implement this path into daily executable steps.

Your next steps:

👉Log in to the console to start screening numbers 🤖 Two-way contact customer service https://t.me/kkdata_robot 📖 Complete usage documentation https://docs.kkdata.cc/

Stop wasting your budget on invalid numbers. Use high-quality customer acquisition data to make every contact worthwhile.