Must-Read for Brands: Use TG Gender Screening Before KOL Collaboration to Boost Outreach Efficiency

One of the biggest headaches for overseas brands promoting on Telegram is: a large number of irrelevant gender accounts mixed into your contact list. Beauty brands want to reach female influencers for product reviews; fitness brands prefer to contact male users first. But manually scrolling through hundreds of account avatars? That’s inefficient to the point of being impossible. What’s more, many Telegram accounts only have digital IDs, with no profile information at all—making manual gender judgment nearly impractical.

That’s where TG gender screening becomes a key tool to improve KOL collaboration efficiency. This article is designed for brands and business teams, detailing how to use Telegram’s gender detection feature to perform precise gender-based targeting before reaching out to KOLs, avoiding ineffective communication and increasing cooperation conversion rates. It includes complete step-by-step instructions, common pitfalls, and FAQs—safe to reference and execute.

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Why Use Telegram Gender Screening to Aid KOL Collaboration?

When brands collaborate with overseas influencers, they typically face three major pain points:

1. Oversized phone number pools, no targeting: You may have accumulated thousands or tens of thousands of Telegram numbers (from campaigns, groups, or third-party data), but the male-to-female ratio is completely unknown. Sending bulk business messages often yields a response rate below 1%, wasting significant resources on irrelevant audiences.
2. Manual screening is impractical: Opening Telegram one by one to check avatars? 1000 numbers would take 2–3 hours, and avatars are not always indicative of gender (scenery, cartoons, pets, etc.). When you need to process tens of thousands of numbers, manual work is simply impossible.
3. Limited budget and energy: Overseas marketing teams are usually small and busy. Every outreach should target those most likely to convert. Gender targeting is the first layer of the funnel—first eliminate obviously mismatched people, then consider activity level, content quality, etc.

TG gender screening precisely solves the first pain point: using automation to classify your number pool by avatar-predicted gender (male/female/unknown) into three groups, allowing brands to go from a “full list” to a “potential KOL list containing only the target gender” within 10 minutes. Subsequent outreach then has a clear direction.

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What is TG Gender Detection? How to Determine Account Gender Data?

TG gender detection is a number screening capability provided by the KK-DATA platform. It analyzes the image content of account avatars to output gender judgment results. The technical principle is based on image recognition models, and it does not involve account registration info, chat logs, or any private data.

Output fields include three types:

• Male: avatar is judged by the model as a male face
• Female: avatar is judged by the model as a female face
• Unknown: avatar cannot be recognized as a clear face (e.g., pets, landscapes, cartoons, abstract images, or blank default avatars)

After obtaining the results, brands can directly filter and export lists by the gender field.

How Accurate is Gender Recognition?

Avatar recognition is significantly affected by the following factors:

• Whether the avatar is a real person frontal photo (highest recognition rate)
• Photo clarity, lighting, presence of sunglasses/masks
• Whether it contains multiple people (sometimes misjudged as gender uncertain)
• Use of non‑portrait avatars (accuracy drops to nearly 0%)

Therefore, TG gender detection accuracy is not 100% . In typical scenarios (avatar as a real person frontal photo), accuracy is usually between 70%–85%. It is recommended to use it as an auxiliary screening tool, not the sole basis for judgment. Especially for high‑value KOLs, you should still make a final decision based on channel content, historical posts, or secondary confirmation.

How to Handle Unknown Gender Accounts?

The main reasons for “Unknown” results are:

• Default avatar (gray circle)
• Non‑face images (landscape, objects, solid color background)
• Low resolution or heavily occluded avatar

Handling suggestions:

• If your target audience is very specific, you can directly exclude unknown gender to save outreach resources.
• If you want to cover more potential high‑value KOLs (some KOLs may not use real avatars but have great content), keep unknown gender accounts, perform small‑scale spot checks, manually view 10–20 samples, and decide whether to contact the whole group.

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Standard Process of TG Gender Screening for KOL Collaboration: From Number Preparation to Outreach

The following process is suitable for brand teams to execute step by step, completing a gender‑targeted KOL outreach from 0 to 1.

Step 1: Organize and Import Numbers to Be Detected

You need to prepare a list of Telegram numbers to be tested. Number sources can be:

• Self‑collected: captured from public groups/channels (pay attention to compliance)
• Generated using the platform: KK‑DATA’s Global Number Generation feature supports random generation by country/region and number segment. Generation is free; only screening is charged by the number.

Number format requirements:

• Start with international code, no spaces or special characters, e.g., 8613800138000
• For a single task, it is recommended not to exceed 1 million numbers. For a first test, 500–2000 numbers are suggested.

Import method: Log in to the Console, click “Upload Numbers” on the “Number Screening” page, select a CSV or TXT file, and the system will automatically verify the format.

Step 2: Submit the Task and Wait for Gender Detection Results

When creating a task, select the detection type as “TG valid + TG gender” or “TG valid + TG active + TG gender” . One task can obtain multiple dimensions at the same time.

Key settings:

• Detection type: Check “TG gender detection”
• Activity window (optional): If you also need recent online data, you can set 7/15/30 days of activity. This way, the exported list will be “recently active target gender KOLs”
• Notification options: Enable Telegram notification. You will receive a message when the task is complete, without needing to stay at the computer.

Before submission, the system will show the estimated cost (charged by detection count). Confirm and run. The task usually finishes in a few minutes to tens of minutes, depending on the number of numbers.

Step 3: Export List by Gender and Start Targeted Outreach

After the task is done, click “Export Results” on the task details page:

• Choose CSV format (recommended). It contains phone number, detection time, gender field (male/female/unknown), activity status, tgid, etc.
• You can also use TXT format to export only the numbers.

Once you have the CSV, open it with Excel or Google Sheets and filter directly by the “Gender” column:

• Filter Gender = Female, export as “Female KOL contact list”
• Filter Gender = Male, export as “Male KOL contact list”
• Unknown gender can be saved separately as a backup.

Now you have a clean, gender‑grouped potential KOL profile. Combined with the activity time window (e.g., only keep those online within the last 30 days), you can start writing targeted business pitches.

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After Gender Screening, How to Design More Effective KOL Outreach Pitches?

Gender is just the first filter. Real conversion depends on whether your message fits the recipient’s identity. Based on past experience, male and female KOLs often have different focus points in business collaborations:

Product Type	Focus for Female KOLs	Focus for Male KOLs
Beauty & Skincare	Product experience, visual presentation, trial feedback	Professional ingredient analysis, cost‑effectiveness
Apparel & Fashion	Outfit matching, scene‑based styling	Fabric craftsmanship, durability
Fitness Supplements	Weight management, body shaping effects	Muscle‑building data, training compatibility
Maternity & Baby	Parenting experience, safety	Product parameters, cost‑performance

Practical tip: Starting the outreach message with “I saw your channel content is a great fit for our xx product” is much more effective than a generic “Hi, we are xx brand and would like to cooperate.” Gender screening helps you pre‑determine the tone direction—more emotional and visual for female KOLs, more data‑driven and functional for male KOLs.

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Three Common Mistakes Brands Make in TG KOL Screening

Many teams make these mistakes when using gender screening for the first time. Knowing them in advance can save you a lot of trouble.

Mistake 1: Only Screening Gender, Not Activity

You only performed gender detection, but the account hasn’t been online for 3 months. You send a message, but the recipient never sees it. It is recommended to combine “TG valid + TG active + TG gender” . This ensures that the KOLs you contact are both the right gender and active recently. KK‑DATA allows you to check all these detection types in one task, no need to submit separately.

Mistake 2: Submitting the Same Number Repeatedly Across Different Tasks

If you have multiple screening tasks (e.g., uploading numbers in batches), the same number may be uploaded again. Consequence: duplicate charges + the same KOL receives multiple brand messages, causing annoyance.

Solution: Use the platform’s data deduplication warehouse feature. Before uploading numbers, the system compares them with historically detected numbers and automatically skips duplicates, saving your balance. Even if you miss deduplication, it is recommended to use SQL or Excel deduplication before exporting.

Mistake 3: Ignoring the Potential Value of Unknown Gender Accounts

Some brands only keep “Male” or “Female” accounts and completely discard “Unknown”. But some high‑value KOLs use brand logos, landscape photos, or original illustrations as avatars, which the model cannot judge gender. However, they may have large followings on their channels. Suggested approach: Keep unknown gender accounts, manually check 5%–10% of channel content. If the overall quality is good, you can contact the whole group using neutral language.

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TG Gender Screening vs. Manual Judgment: Why the Tool is More Worth Your Investment?

The table below can help you compare the actual differences between the two approaches:

Dimension	Manual Checking Avatars One by One	Batch TG Gender Detection via Platform
Time (5000 numbers)	10–20 hours (fatigue, unsustainable)	5–10 minutes (can be processed in parallel)
Accuracy stability	Affected by subjective judgment, fatigue, about 60–80%	Consistent algorithm, batch execution, 70–85%
Scalability	One by one, cannot handle multiple markets simultaneously	Supports million‑level tasks, multi‑country and multi‑platform
Cost	High labor cost (paid by hour)	Charged per detection, see Pricing page
Additional capabilities	None	Can simultaneously obtain activity level, tgid, gender, and other multi‑dimensional data

For overseas marketing teams, manual judgment is acceptable for less than 50 numbers; beyond 500 it becomes inefficient. Batch screening tools not only save time, but more importantly, they allow the team to iterate quickly: screen a female list today, optimize the pitch tomorrow, and send the next batch.

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Frequently Asked Questions

Q: Can TG gender detection 100% confirm a person’s real gender?
A: No. TG gender detection is based on visual recognition of avatar images (male/female/unknown). Avatars may be pets, landscapes, cartoons, or non‑real‑person photos. Accuracy depends on avatar quality. It is recommended to use gender detection as a screening aid, not as an absolute judgment.

Q: After screening with TG gender detection, do I still need to verify the KOL’s real identity?
A: Yes. Gender detection only answers “what gender does the avatar tend to represent,” not the account holder’s real identity. It is recommended to evaluate whether the KOL meets collaboration requirements through channel historical content, mini‑profiles, etc., during the outreach phase.

Q: Can gender detection and activity detection be done at the same time?
A: Yes. On the KK‑DATA console, you can select a combination of detection types such as “TG valid + TG active + TG gender” in one task, obtaining multiple dimensions at once without separate submissions.

Q: After detection, in what format can the gender data be exported?
A: Supports CSV and TXT format exports. The exported table contains fields like phone number, gender (male/female/unknown), detection time, etc., which can be directly used in Excel or Google Sheets for further filtering and categorization.

Q: Is the fee for gender detection the same for contacting male and female KOLs?
A: The fee is calculated per detection, regardless of gender. See real‑time prices on the Console. More complex detection types (e.g., active + gender in one task) will adjust the per‑number cost, but under the same detection type, male and female accounts cost the same.

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Start your TG gender screening test now: Log in to the KK-DATA Console to try it out. No subscription required; register, top up, and pay as you go. For detailed documentation, refer to the Gender Detection section. If you have customization needs or operational questions, contact customer service @kkdata_cc.