tg How to plan US data by region: A guide to splitting screening tasks for the East, West, South and Midwest

When acquiring customers overseas, tg US data (that is, Telegram number data obtained through the screen number platform and belonging to the US region) is a powerful tool to accurately reach North American users. However, the United States is a vast country, and the eastern, western, southern, and central-western regions have significant differences in time zones, user habits, and population characteristics. If you use a unified set of parameter filters, you may get a batch of inefficient data in which “online time does not match the marketing rhythm” or “gender orientation failure”. Based on the screening logic of KK-DATA, this article explains in detail how to split the screening tasks according to the four major geographical areas of the United States, and implements the activity detection, gender screening, number segment generation and other capabilities of Telegram US Data to help you build a reusable regional planning pipeline.

What is TG US data? Why you need to filter by region

tg US data refers to the tagged Telegram US number result set exported after number generation (number segment belongs to the US) → screen number detection (activation, activity, gender and other fields). It does not contain precise address or GPS information, but relies on number segments (NPA-NXX) to determine the geographic area to which the number belongs.

There are three main reasons for planning screening tasks by region:

1. Time zone differences affect the active detection window: The United States spans UTC-5 (East) to UTC-8 (West), with a time difference of up to 3 hours. If UTC 12:00 (8:00 Eastern) is used as the active window, the detection results will be seriously distorted when users on the West Coast are still in the early morning.
2. Population characteristics are different from corporate marketing scenarios: There are many financial/education practitioners in the East (New York, Miami), a high proportion of immigrants and blue-collar people in the South (Texas, Georgia), B2B manufacturing is concentrated in the Midwest (Chicago, Detroit), and technology users are active in the West (California, Seattle). Different areas are suitable for different customer acquisition materials and communication techniques.
3. Screen number cost and efficiency balance: Mixing screen numbers across regions will lower the overall activity rate, and different gender/age filtering conditions cannot be set for different regions. After splitting, the parameters of each task are more precise, and the same budget can be spent to obtain higher value numbers.

Before planning TG US data by region, what fields need to be understood first?

When submitting the screening task in the KK-DATA console, the result field contains the core dimensions:

Field	Description	Relationship to regional planning
tg activation	Whether the number is registered with Telegram	Basic filtering to ensure that the number is available
tg active	Online for the last N days (N can be customized, such as 3 days/7 days/30 days)	Need to match the active time in the target time zone
tg Gender	Gender inferred from username/avatar/data (male/female/unknown)	Cooperate with targeted marketing, such as “male 30 years old +“
tg age	Inferred age range (such as “about 30 years old”, “about 25 years old”, etc., not accurate ID card age)	cannot be used for precise age positioning, but can be used as a reference for population stratification
tgid	Telegram user ID	Exported for custom audience remarketing (requires third-party tools)

Special Note: The number screening process will not return the “specific city” of the number. The regional affiliation of the number completely depends on the number segment used in the generation phase. In other words, if you want tg US data for “New York City”, you must first generate a number list using the New York number segment (such as 212, 347, 646) during generation, and then submit the screen number.

Number area attribution depends on the number segment strategy when generating

The US phone number format is +1 NPA-NXX-XXXX, and the NPA (three-digit area code) can roughly correspond to the geographical area. For example:

• East: 212 (Manhattan, New York), 305 (Miami), 617 (Boston)
• West: 213 (Los Angeles), 310 (West Los Angeles), 415 (San Francisco), 206 (Seattle)
• South: 214 (Dallas), 713 (Houston), 404 (Atlanta), 704 (Charlotte)
• Midwest: 312 (Chicago), 216 (Cleveland), 313 (Detroit)

KK-DATA’s Global Number Generation module covers 240+ countries/regions and can generate a list of numbers in specified number segments based on US states or area codes. It is completely free when generating, and fees will be deducted on a per-item basis only when numbers are screened. You can also organize the CSV (numbers with specified number segments) yourself and import them into the console for filtering.

Activity and activity window need to match the target time zone

Contiguous United States time zones from east to west:

Time zone	Abbreviation	UTC offset (standard time)	Representative city
Eastern	EST/EDT	UTC-5 / UTC-4	New York, Miami, Boston
Central	CST/CDT	UTC-6 / UTC-5	Chicago, Houston, Dallas
Mountain	MST/MDT	UTC-7 / UTC-6	Denver
Pacific	PST/PDT	UTC-8 / UTC-7	Los Angeles, San Francisco, Seattle

When submitting a TG screening task in KK-DATA, you can set an active window (such as “online in the last 3 days”). If you want to target “evening active users”, you need to convert the UTC time to the local time in the target region. For example:

• Eastern users are required to be active between 19:00–22:00 local time: UTC time is 00:00–03:00 (EST winter time) or 23:00–02:00 (EDT summer time) the next day
• Western users are required to have the same time period: UTC time is 03:00–06:00 (PST winter time) or 02:00–05:00 (PDT summer time) the next day

It is recommended that when submitting tasks on the console, you directly select a relatively loose activity window such as “last 3 days” or “last 7 days”, and then use the “activity level” (recent active / past active / inactive) for secondary filtering. It is easier to operate and has more data than accurate to the hour.

Eastern region: New York, Florida and New England - high density and high consumption population

The eastern region (NY, FL, MA, CT, etc.) is the core population and economic area of North America. The average consumption power of users is high, and it is suitable for finance, education, tourism, and high-end consumer goods categories.

Time zone and active window: The eastern part is mainly EST/EDT. It is recommended that the activity window be set to “Last 3 Days” and the activity level be “Recently Active”. If you want to reach people who are “active after get off work”, you can control the task submission time to the Eastern United States evening (UTC 23:00–02:00 winter time), but a more practical approach is to directly use the activity detection function of the console. The approximate time of the last online time (such as “online within 1 day”, etc.) will be marked in the results, and you can filter by fields after exporting.

Gender targeting strategy: The gender identification rate of tg users in the eastern region is above average (the username/data completeness is high). If you need male or female targeting, you can turn on “Gender Detection” in the filter task and filter by the gender field after exporting. For example, if a financial product targets “men over 30 years old”, you can also select tg gender = male and age ≥ 30 (the age field is approximately 30 years old) as the filtering conditions.

Eastern activity window and activity threshold recommendations

Parameters	Recommended values
Active window	Last 3 days
Activity level	Recently active (or “last 15 days”)
Time Zone Reference	Eastern Time Zone (UTC-5/UTC-4)
Note	Avoid submitting tasks between UTC 12:00–18:00 (early morning in the east), otherwise the system will judge activity based on UTC time and may miss normal users

South and Sunbelt regions: Texas, Georgia and North Carolina – fast-growing blue ocean of customer acquisition

The South (TX, GA, NC, and FL parts) is the area with the fastest population migration in the United States. It has a high proportion of immigrants (especially Southeast Asians) and is suitable for cross-border e-commerce, immigration services, loans and other categories. The population structure in the south is diverse, so it is recommended to cooperate with other platform screening numbers for cross-acquisition customers, such as screening Zalo at the same time (Vietnam and Philippines users are concentrated).

Time zone: Mainly uses CST (UTC-6/UTC-5). Some cities such as Atlanta are on the edge of EST, but mainly use CST. It is recommended that the activity window be set to “the last 7 days” because the TELEGRAM activity rate in the south may be slightly lower than that on the east and west coasts. Relaxing the window can obtain more reachable numbers.

Targeting strategy for the southern region with gender fields

The success rate of gender identification among active Telegram users in the south is relatively high (partly due to the large proportion of English usernames + real avatars). Commonly used directional combinations:

• Male 30 years old+: Suitable for financial management, B2B tools, automotive supplies
• Female 25–40 years old: Suitable for beauty, maternal and child, and household products

Operating steps:

1. In the generation phase, select the southern number segment (214, 713, 404, 704, etc.)
2. When submitting the screening task, turn on “TG activation detection”, “TG activity detection”, “TG gender detection” and “TG age detection”
3. After exporting the CSV, use Excel or script to filter tg gender = male, tg age ≥ 30 (the age field can display “about 30 years old”)

Note: The age field is not the exact ID card age. It is only used as a reference for group stratification and cannot be used for precise age review of compliance.

Midwest Region: Chicago, Detroit and Ohio - Traditional Manufacturing and B2B Crowds

Users in the Midwest (IL, OH, MI, IN, WI) prefer B2B, industry, and education, and are suitable for cross-border e-commerce B-side customer expansion, industrial product export, and enterprise-level SaaS promotion. This type of user is active on weekdays and is relatively low on weekends.

Time Zone: Central CST (UTC-6/UTC-5). It is recommended that the active window be set to “last 3 days” and matched with “activity level = recent active”, but note that the proportion of activity at night is low in the Midwest. It is more recommended to relax the active window to the “last 7 days” to expand the base.

Multi-platform cross-validation: Many users in the Midwest use both iMessage or RCS (Android Rich Media). KK-DATA supports iMessage and RCS detection, and can combine screen numbers. For example, first screen the numbers with “TG activated and active + iMessage valid”. These numbers are usually iPhone users and are valuable to overseas teams who need to pursue Apple advertising.

West Region: California, Washington, and Oregon – Tech Users and Highly Active Populations

In the West (CA, WA, OR), Telegram has the highest penetration rate and a large proportion of active users. It is suitable for high-frequency TG followers, community recruitment, and technology product promotion. There are a large number of technology practitioners in Silicon Valley and Seattle, and they are highly receptive to new products.

Time Zone & Active Window: Primary PST/PDT (UTC-8/UTC-7). It is recommended to set “Online in the last 3 days” and the activity level to “Recently active”. Users in the West are active throughout the day, but there is a peak at 19:00–22:00 (PT) in the evening.

tgid export and remarketing: After the western region user ID (tgid) is exported, it can be used for Telegram’s custom audience advertising (requires the TG official advertising platform or third-party tools) to accurately reach the screened out highly active groups. Note: KK-DATA supports tgid export, which is a standard field for TG screening tasks.

How to use KK-DATA to build a “generate → filter → export” regional planning pipeline

The following takes “generate TG data of the New York number segment in the eastern United States → filter the number to obtain the active male number 30 years old + → export and label” as an example to show the complete four-step operation:

Generation stage: Generate TG US data by area code segment

1. Log in to KK-DATA Application Console and enter the “Global Number Generation” module.
2. Select the country “United States” and enter the target area code (such as 212, 347, 646) in the “Code Segment Generation” function.
3. Set the number of generated items (for example, 10,000) and click “Generate”. Generating is completely free and does not consume your balance.
4. Export the generated numbers to CSV, or add them directly to a new task.

If you need a more detailed area (such as “Manhattan”), you can first check the number segment database, or use the “custom CSV import” function to upload a list of designated numbers compiled by yourself.

Filtering stage: Filter by activity, gender, age fields

1. Enter the “Screen Number Task” module and select “Telegram Screen Number”.
2. Upload the generated number list (or select a generated number list).
3. In the detection options area, check:
   • TG activation (required)
   • TG active (recommended “last 3 days” active window)
   • TG gender (if orientation is required)
   • TG age (if population stratification is required)
4. Set task parameters. The active window can be selected by day (3 days, 7 days, 30 days, etc.), see the console drop-down menu.
5. Submit the task. After the task processing is completed, the system will send a notification through the two-way contact customer service robot @kkdata_robot (it needs to be bound in the console in advance).
6. After the task is completed, check the estimated cost on the “Task Details” page, confirm the deduction, and then export the results.

Note: The console will display the estimated cost before submission, and fees will be deducted on a per-item basis. For specific unit prices, please see the real-time price on the console. If the balance is insufficient, you need to recharge via USDT (TRC20) first, with a minimum of about 50 USDT.

Export and deduplication: CSV export with fields + deduplication warehouse use

When exporting the results, select the CSV format, and the fields will include information such as tgid, gender, age, active status, number segment, etc. You can use Excel to add a “region” column (such as “Eastern - New York”) to each piece of data to facilitate subsequent regional marketing.

Data Deduplication Warehouse: In the “Data Warehouse” of the console, you can import the exported numbers, and the system will automatically deduplicate them when subsequent tasks are submitted. This can avoid repeated detection of the same number in different regional tasks and waste of balance. The deduplication function is standard with KK-DATA at no additional cost.

TG US Data Planning Checklist by Region

Before planning each tg US data screening task, it is recommended to check the following steps one by one:

• Identify target region (East/West/South/Midwest, or specific states/cities)
• Select the corresponding number segment: Generate global numbers or import the number of the target area code through custom CSV
• Set active window: Select the number of days (3 days/7 days/30 days) according to the target region time zone to avoid UTC time misalignment
• Enable gender and age fields: If you need targeted marketing, check both in the filter options
• Submit screening task: Confirm the estimated fee and ensure sufficient balance (minimum 50 USDT deposit)
• Export results: CSV export, and add region labels (such as “Eastern-NY”)
• Import deduplication warehouse: avoid repeated detection of the same number across tasks

FAQ

**Q: Can tg US data be accurate to which city? **

Answer: No. Screening only detects whether the number has Telegram enabled and its activity, gender and other fields, and does not return the number’s physical location or specific city. The regional affiliation of the number completely depends on the number segment in the generation stage. If you need a number for a certain city, you must use the area code for that city to generate a list of numbers.

**Q: What time window is used to calculate active detection in the screening results? **

Answer: KK-DATA’s activity detection is based on Telegram’s online status snapshot. When submitting a task, you can set windows such as “last 3 days”, “last 7 days” or “last 30 days” (see the console for specific options). The system will determine whether the number has been recorded online within the specified window during detection. Note: Activity detection relies on the privacy settings on the Telegram server. Some users may not expose their online status, causing the results to be marked as “inactive”.

**Q: Is the gender recognition accuracy of tg US data high? **

Answer: Gender recognition is inferred based on public information such as username, avatar, and profile description. The accuracy is usually between 70% and 80% (not 100%), and it cannot identify all users. The gender field is labeled “Male”, “Female” or “Unknown”. It is not recommended to use this data for scenarios with high compliance requirements (such as allocating resources strictly by gender), but it is suitable for marketing targeting (such as screening male groups to promote male skin care products).

**Q: When generating US number segments, how do I know which number segments belong to which region? **

Answer: In the “Global Number Generation” module of the KK-DATA console, you can filter by country → state → city, and the system will provide all available NPA number segments in the region. For example, selecting “United States → New York State → New York City” will automatically display area codes such as 212, 347, 646, and 917. If the specific city is not displayed, you can consult the public NPA database (such as the NANPA official website) to obtain the mapping between number segments and geographical areas.

**Q: How many pieces of TG US data can be processed in one screening task? **

Answer: A single task supports up to about 1 million numbers. However, for the sake of task efficiency and data freshness, it is recommended to split it by region and control it between 50,000 and 200,000 items at a time. Large tasks (such as 1 million items) take longer to process, and must be resubmitted if errors occur midway.

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After reading this article, you should be able to clearly plan the tg US data screening process split by region. Let’s get started and try it out:

👉 Log in to the console to start screening numbers 👉 If you encounter operational problems, you can contact the customer service robot in both directions https://t.me/kkdata_robot 👉 For complete documentation, see https://docs.kkdata.cc/