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tg 30-year-old data remarketing guide: How to accurately reach people around 30 years old and improve conversion rates

tg 30-year-old data operations kkdata remarketing

#tg 30-year-old data remarketing guide: How to accurately reach people around 30 years old and improve conversion rates

In acquiring customers overseas, tg 30-year-old data is a remarketing tool that many teams pay attention to. It is not an independent “age recognition” product, but comes from the age field in Telegram’s gender detection results. It uses an algorithm model to estimate the user’s age group (for example, 25–35 years old), helping operators quickly identify groups around 30 years old. This group of people usually has stable spending power and high social activity, making them very suitable for remarketing.

This article will completely break down how to use tg 30-year-old data to improve conversion rates from data sources, crowd value, acquisition steps, remarketing rhythm to compliance suggestions.


What is tg 30 year old data? How it relates to Telegram gender detection

Many people mistakenly believe that “tg 30-year-old data” is an independent filtering label directly provided by the platform. Actually, it comes from KK-DATA’s Telegram Gender Detection feature. When you submit a batch of numbers for testing, the system will return multiple fields, including:

  • Whether to activate Telegram (registration test)
  • Activity (last 7 days/30 days/custom window)
  • Gender (male/female)
  • Age (estimate) – This is the core field of tg’s 30-year-old data

The age field is an estimate calculated based on user public information and model algorithms, and is suitable for population stratification. For example, 25–35 years old is defined as “about 30 years old.” ≠ ID card age, cannot be used in scenarios where precise age is required.

Key Point: tg 30-year-old data is a by-product of gender testing, not an independent product. You only need to select the “Telegram Gender” detection type and you will get gender, activity and age information in the results.


Why are people around 30 years old the golden pool for overseas remarketing?

People aged around 30 have three natural advantages in going overseas:

  1. Strong spending power: Generally on the rise in their career, have a stable income, and are willing to pay for efficiency tools, online courses, and financial products.
  2. High social activity: Relying on communication tools such as Telegram and WhatsApp for work and socializing, the message opening rate is high and the contact cost is low.
  3. Moderate decision-making cycle: Neither young people are prone to impulse purchases and refunds, nor are older age groups too cautious, so they are suitable for staged remarketing.

For overseas products such as finance (cross-border remittances, wealth management), e-commerce (goods with high customer unit prices), education (English/skills training), the LTV of this group of people is often higher than that of other age groups. Through direct positioning with tg 30-year-old data, you can skip the general promotion stage and directly enter precise remarketing**.


How to get tg 30-year-old data? Practical steps

The following uses the KK-DATA console to complete the entire process of “generate number → filter number → filter age group → export”.

Step 1: Prepare the target number pool through the number generation module

In the KK-DATA Console, click Global Number Generation:

  • Generate by country/region code segment: Select the target market (such as Vietnam, Indonesia, Brazil), enter the desired quantity, and the system will generate legal code segment numbers for free.
  • Customized CSV import: If you already have potential leads (such as mobile phone numbers collected at the exhibition), upload the CSV file and the system will automatically clean the format.

Generation is completely free and does not consume your balance.

Step 2: Submit Telegram gender detection task

  1. Select “Create Task” → “Telegram Gender” in the console.
  2. Check the three options of “Enable Detection”, “Activity Detection”, and “Gender and Age Detection” (age will be automatically included in the gender result).
  3. Upload the prepared number list (up to 1 million/single task).
  4. Click Submit, and the page will display the estimated cost (calculated based on quantity and detection type, see the real-time price on the console for details).
  5. If the balance is sufficient, the task will be put into the queue. After completion, the system will send a notification through Telegram (if you have bound a notification Bot).

Step 3: Filter the results for people around 30 years old and export

After the task is completed, view the results table in “Task Details”:

  • The Age Field column is displayed as a numeric value or range (such as 28, 30, 25-35). Use the filter to set conditions (for example, 25 ≤ age ≤ 35) to circle “people around 30 years old.”
  • Can also be further refined by gender (e.g. “Male 25-35 years old”).
  • Export to CSV or TXT format, including tgid, gender, age, activity and other fields, ready to be imported into the remarketing system.

Key reminder: tg 30-year-old data ≠ ID card age

The age field comes from an algorithmic model and is used for population stratification rather than precise identification. It is recommended that people aged 25-35 be regarded as the “approximately 30-year-old group” and should not be used as the only basis for judgment. Manual review is required especially when compliance scenarios such as financial risk control are involved.


How to plan the remarketing rhythm of tg 30-year-old data?

After obtaining the data, blind mass messaging is not only inefficient, but can also easily trigger account bans. It is recommended to follow a three-stage design rhythm of “cold start → mid-term follow-up → long-term maintenance”.

Cold start period: test user reaction with weak copywriting

Don’t sell directly in the first round of contact. Send low-intrusion content first:

  • Event Invitation: For example, “You have received a free course trial opportunity, click to claim it.”
  • Service Reminder: For example, “There are unused coupons in your account and they will expire in 24 hours.”
  • Research Questionnaire: Comes with small gifts (such as phone credit redemption code).

Observe metrics: open rate, reply rate, click rate. If it’s less than 5%, the number pool or copy may need to be optimized.

Mid-term follow-up: Combining activity and gender-differentiated operations

The filtering results include activity fields (active in the past 7 days/30 days) and gender fields. Suggestions:

  • Active Users: Send no more than 2 messages per week, at least 2 days apart. You can send more conversion-heavy content (such as limited-time discounts).
  • Inactive users: Send no more than 1 article per month, and the copy should emphasize new things (such as “New products are online, relevant to you”).
  • Gender Difference: Men prefer efficiency tools and financial information; women prefer beauty, health, and parenting content. Adjust words and sending time according to gender (for example, women have higher open rates on weekend mornings).

Long-term maintenance: data deduplication and cross-marketing

  • Import tg 30-year-old data into KK-DATA’s data deduplication warehouse to avoid repeated detection in subsequent tasks and save costs.
  • Cross-validation: Submit the same batch of numbers to the WhatsApp number screening task to check whether WhatsApp is activated and how active it is to achieve cross-platform remarketing.
  • Re-screen activity every 3–6 months to eliminate invalid numbers and keep the list fresh.

Frequently Asked Questions and Compliance Suggestions in Remarketing

Compliance red line: avoid excessive harassment

According to industry experience, a single user should not send more than 3 times per month. If reaching with Telegram Bots, make sure to provide an “unsubscribe” option and strictly adhere to Telegram API limitations (such as batch message intervals, etc.). Violations may result in the Bot being banned or the account being reported.

  • **How ​​to avoid being reported? ** Do not use sensitive words such as fraud, pornography, or exaggerated earnings. Use an enterprise-certified Bot to reduce the probability of being marked as spam.
  • Data deduplication can also reduce harassment: If the same number appears in multiple tasks, only one message will be sent after deduplication, which is both economical and friendly.
  • Pay attention to platform policy changes: Telegram’s tolerance for marketing messages will change. It is recommended to maintain communication with customer service. KK-DATA official channel will issue relevant reminders.

Summary

tg 30-year-old data is a very practical tool in overseas remarketing, but it is essentially an estimate and needs to be understood and used correctly. Through the generation of KK-DATA → filter number → filtering → export pipeline, you can efficiently circle high-value people around 30 years old, and perform hierarchical operations based on fields such as activity level and gender. The remarketing rhythm must be gradual, combined with deduplication warehouse and cross-platform verification, in order to continuously improve the conversion rate.

Next, log into the console and give it a try.


FAQ

Question: Can the tg 30-year-old data be accurate to the specific date of birth?

Answer: No. The tg 30-year-old data refers to the age field in Telegram’s gender detection results. It is an estimate based on user public information and model algorithms. It can be used for population stratification (such as 25-35 years old), rather than the exact age at the ID card level.

Question: How many numbers do I need to start filtering tg 30-year-old data?

Answer: It is recommended to prepare at least 5,000 numbers to be screened. You can generate target country numbers for free through KK-DATA’s global number generation module, or import CSV yourself. After the number filtering task is completed, numbers whose age field matches “about 30 years old” will be filtered from the results, and the number will be further reduced.

Question: What remarketing scenarios can the filtered tg 30-year-old data be used for?

Answer: Common scenarios include: cross-border e-commerce new product push, financial product registration discounts, online education course trials, local life service promotion, etc. Because people around 30 years old usually have stable income and willingness to spend, and have high trust in Telegram/WhatsApp.

Question: When remarketing, what is the safest sending frequency?

Answer: According to platform rules and industry experience, it is recommended that active users should not send more than 2 messages per week, and inactive users should not send more than 1 message per month. If you use the activity field in the KK-DATA filter result, you can manage it in buckets based on activity.

Q: Can I cross-use tg 30 data with data from other platforms such as WhatsApp?

Answer: Yes. KK-DATA supports multi-platform screening. You can submit the screened Telegram numbers of people aged about 30 years old to the WhatsApp screening task to detect whether they have opened WhatsApp, thereby achieving cross-platform remarketing. However, you need to pay attention to data compliance and avoid frequently harassing the same user across platforms.


**After reading this guide, if you want to start filtering tg 30-year-old data and develop a remarketing plan immediately, you can start from the following entrance: **

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