How to obtain accurate customer acquisition data through keyword map? ——Practical Guide to Google and Bing Dual Platforms

In overseas marketing, obtaining accurate customer acquisition data is the key to cost control. Whether it is B2B SaaS customer development or cross-border e-commerce community private domain operations, teams often face a core problem: How to efficiently screen out active numbers that truly belong to the target market from billions of users around the world?

Keyword map is an efficient strategy that combines search intent with user portraits to guide the direction of data acquisition. This article will teach you step by step how to combine Google and Bing search data to create your own keyword map, and convert it into an implementable number pool through KK-DATA to improve the effectiveness of number screening and return on investment.

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What is a keyword map? Why is customer acquisition data important?

Keyword map is essentially a tool that visually categorizes core keywords by country, user intent, and active scenarios. It is not a simple keyword stacking, but a bridge that maps users from “search behavior” to “social platform account”.

For example, when a user searches for “mua giày thể thao giá sỉ” (buy wholesale sneakers) in Vietnam, it means that the user may be an active buyer on Zalo or Facebook. The function of the keyword map is to record the relationship of “region + intention + platform”. Later, when you filter customer acquisition data, you can directly extract “Vietnam + Zalo + Wholesale” from the map as a screening command, which greatly reduces invalid number detection and allows every penny to be spent on people who are likely to convert.

As the two major search engines in the world, Google and Bing have keyword data with different emphasis on coverage, language tendency and search intent. Combining the two can give a more three-dimensional outline of the target market.

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How does Google and Bing search data guide the direction of customer acquisition data screening?

Before choosing a tool, let’s compare the core differences between the two:

Features	Google Keyword Planner	Bing Keyword Research
Main markets	Most countries around the world, especially Europe, America, and Southeast Asia	The United States, the United Kingdom, and parts of Europe (Bing desktop is dominant)
Language support	Diversified, with good support for Chinese, Vietnamese, Arabic, etc.	English dominates, and non-English long-tail word data is relatively small
Search intent determination	Can be indirectly determined based on conversion rate and bid difference	Biased towards information intent, the amount of data for commercial intent words is less than that of Google
Data granularity	Can be segmented by region, device, and time	Segmented by region and language, with high data concentration

Practical suggestions: For European and American B2B markets, Google Keyword Planner can be used first, and its rich regional data can be used to export high-intent keywords (such as “CRM software for small business”). If you focus on US desktop users (such as using LinkedIn or WhatsApp Web), Bing’s data will be more valuable as a reference.

Combining the two, you can record the relationship between “countries with high account registration rates” and “highly active social platforms” in the keyword map to avoid areas with only information seekers but too many invalid users, thereby focusing your screening resources on markets with real transaction intentions.

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How to create a keyword map for overseas customer acquisition?

Step 1: Discover core keywords and regional intent

Open Google Keyword Planner or Bing Research and enter product-related words (such as “Telegram group promotion” and “WhatsApp marketing tools”). After exporting search suggestions, focus on words that contain the following intent tags:

• Business/Enterprise: supplier, bulk, wholesale, agent, distributor, group buy
• Tool/Service Category: tool, platform, software, automation, cost, price
• Scenario class: order, sell, buy, promote, recruit

Combine the above words with target countries (such as India, Brazil, Indonesia) to form a seed bank of “regional + business words”. This step is the first step in Customer Acquisition Data screening, which determines the geographical scope of subsequent generated numbers.

Step 2: Analyze search volume, competition and user intent

Ignore absolute search volume numbers and focus on relative trends and long-tail words. For example, a word with a monthly search volume of 500 times but completely matching your business is better than a word with a traffic of 10,000 times but scattered topics.

Distinguish between two types of intentions:

• Information intent: how to, guide, tutorial. Such words can be used to understand market education, but obtaining numbers directly is inefficient.
• Transaction Intent: price, buy, cheap, service. The users behind such words are more likely to be business practitioners and are suitable as target tags for screening.

Best Practice: Prioritize the use of words such as “price”, “agency” and “purchase” as the basis for judging the target user’s age and occupation (such as entrepreneurs around 30 years old). When screening, you can perform cross-validation against the age field exported by KK-DATA.

Step 3: Map keyword categories to customer acquisition scenarios

Organize the results of the first two steps into tables and classify them according to the following structure:

Country	Target platform	User profile (occupation/age)	Keyword examples	Screen parameters (active/gender)
Vietnam	Zalo	30 years old, female retail store owner	bán sỉ mỹ phẩm	Open, active for 30 days, female
Brazil	WhatsApp	28-40 years old agent	comprar em atacado	open, male, active
India	Telegram	Technical marketers aged 20-35	bulk telegram group buy	Open, active, no gender restrictions

This keyword map will be directly converted into instructions for subsequent screening numbers. Through it, you can directly select the number corresponding to the country and number range in the global number generation module of KK-DATA, and then conduct detection according to the activity and gender conditions set by the map.

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Practical combat of customer acquisition data screening: convert keyword map into number pool

Use the KK-DATA global number generator to quickly build a target area number library

1. Log in to the console https://app.kkdata.cc/
2. Enter the “Global Number Generation” module and select the corresponding country or region based on the countries in the keyword map (such as India, Indonesia, Mexico)
3. Click Generate (this step is free, no fees will be charged), and the system will automatically generate a large number of random numbers.
4. Export a CSV file or directly import it into the “Global Number Filtering” module

Note: Supports 240+ country/region number generation, including CSV import function of regular number segments and custom number segments.

Filter by platform, activity, and gender—user portraits behind matching keywords

1. Submit the generated number to the “Global Number Screening” task
2. Select the detection platform: WhatsApp, Telegram, Zalo, Line, etc. (determined according to the platform column in the keyword map)
3. Set the detection type: If the map is marked as “Active Retail Store Owner”, select “Activate Detection + Active Detection (Last 30 Days) + Gender Identification”
4. Before submitting the task, the system will display the estimated cost (billed by item, see the real-time price on the console for details). Submit after confirmation.
5. After the task is completed, export the result file containing fields such as activation status, activity, gender, age, etc.

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Best practices for using filtered acquisition data in Google Ads and Bing Ads

The numbers filtered out by the filter (such as TG, WA, iMessage) can be used for custom audience upload and remarketing of the advertising platform. For example: Import numbers that have opened WhatsApp into a custom audience list in Google Ads, and target these users with private message ads or remarketing materials.

Key Notes:

• Privacy Compliance: All numbers must come from public channels or be fully authorized by the user, and are not suitable for use in gray production or harassment scenarios.
• Validity period: The number activity data is valid. It is recommended that the number pool be kept for a maximum of 3 months and re-tested after expiration.
• Group strategy: Allocate an independent number pool to each ad group based on user portraits (such as age, gender) in the keyword map to achieve precise reach.

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How to evaluate the quality of customer acquisition data? Key Metrics and Tools

Core Quality Indicators:

Metrics	Definition	How to Optimize
Activation rate	The proportion of users who have activated the corresponding platform is detected	A high activation rate indicates that the source of the number is reliable
Activity rate	Proportion of active users within a specified period (such as 30 days)	The higher the closer to the actual marketing audience
Portrait matching degree	The detected gender/age is consistent with the keyword map expectation	If the deviation is large, the keyword or region needs to be adjusted
Repetition rate	The proportion of repeated occurrences of the same number in different batches	High repetition rate requires increased gravity removal

In the data statistics module of the KK-DATA console, you can view aggregate indicators such as the closure rate, activity distribution, and gender ratio of each task. By cross-comparing these data with the preset images in the keyword map, you can determine whether the keyword map is accurate and whether the next round of screening parameters need to be adjusted.

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FAQ

**Q: Does the keyword map have to be created manually? Are there any automation tools? ** Answer: Both Google Keyword Planner and Bing Keyword Research can directly export CSV, and then use the classification aggregation function of Excel or Google Sheets to quickly create it. You can write a simple VLOOKUP or pivot table to generate the map structure. If a semi-automatic process is required, please refer to the “Keyword Download - Classification - Import” workflow recommended in the KK-DATA document. It can be done without relying on third-party plug-ins. The key is to keep the classification logic clear.

**Q: How to verify whether the filtered numbers belong to the target group in the keyword map? ** Answer: In the export results of the KK-DATA screening task, check “Gender” and “Active Field”. Then compare the percentages of these field values ​​with the preset user portraits in your keyword map (for example, 25-40 year old males, Indonesian market). If the deviation exceeds 30%, it is recommended to adjust the native language expression of the keyword or change the target country.

**Q: Will using a keyword map to generate numbers definitely improve the customer acquisition conversion rate? ** Answer: Keyword map can accurately narrow the target range, eliminate blind detection, and increase the proportion of valid numbers. But the final conversion rate still depends on the subsequent reach strategy, copywriting attractiveness and product value. It is recommended to use the 5,000 numbers generated by the map for small-scale testing first, and then expand the scale after running through the next link.

**Q: KK-DATA’s number generation and number screening are billed on a per-item basis. Can I see the cost estimate before submitting? ** Answer: Yes. When creating a number screening task, the system will display the estimated cost in real time based on the number of numbers and the selected detection type (such as activated, active, gender). When the balance is insufficient, you will be prompted to recharge. For detailed rules, please see Billing Instructions.

**Q: How often should the keyword data of Google and Bing be updated? ** Answer: It is recommended to update the keyword map every quarter. Mainly, market trends, competitive keywords, and city-level intentions may change, especially in emerging markets (such as Vietnam, Mexico). Regular updates can ensure that the filtered customer acquisition data always fits the current user activity.

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By linking search intent and actual screening actions through keyword maps, you can focus data costs on the most potential user groups, so that each detected number has a clear business goal. Starting today, combine the real-time search data of Google and Bing to build your own exclusive filtering system.

👉Log in to the console to start screening numbers Two-way contact customer service: https://t.me/kkdata_robot See more guides: Usage Documentation