Telegram marketing essentials: Why is it necessary to use LIKE.TG to screen in the first step?

Have you ever encountered this situation: You have worked hard to plan events, write copy, and do benefits on Telegram, but once the message is sent out, it is like a pebble thrown into the sea, with no one clicking on the link and almost no one responding? Or even, someone around you told you: You didn’t receive the message at all?

Many people's first reaction is "Is the content unattractive?" In fact, more often than not, the problem is not the content at all, but the target - the number you push may not be a valid Telegram user at all.

This is what I want to talk to you about today:Before doing any TG marketing, first confirm whether the account actually exists and whether TG has been activated. This step is more critical than anything else.

The LIKE.TG screening tool is designed to solve this core problem so that you can conduct precise marketing! Don’t waste promotional funds.

The most usefulNumber processing software：Screen material-Number processing software

Please contact LIKE TG✈Official Account Manager:@LIKETGLi

WhatsApp official account manager:LIKETG Enron-HTTPS://Wow.what/66966656892

Invalid Telegram accounts are quietly eating up your budget

We often say that "accuracy is more important than quantity", but many times, our budget is secretly consumed by "invalid accounts".

1. Message costs are “evaporating”

Take a cross-border e-commerce team as an example: they push 100,000 new product notifications every month. If 30% of the numbers do not actually have TG activated, that is equivalent to 30,000 messages being sent directly to the "air". Not only the message fee is wasted, but the cost of obtaining these invalid numbers when diverting traffic is also wasted.

If you use LIKE.TG to screen numbers in advance, these costs can be completely avoided.

2. Misjudgment of user behavior and strategy deviation

A Web3 team once conducted airdrop activities in Eastern Europe and sent out 20,000 NFT redemption links. As a result, less than 2% of people received it, and they thought it was because "users are not interested in NFT." As a result, the budget was reduced and benefits were reduced, resulting in a decrease in the enthusiasm of real users in the future.

Later, they used LIKE.TG to filter numbers and found that at least 40% of the numbers in the first batch of lists were not registered with TG at all. In other words, their conversion rate is not actually bad, they are just misled by the "false base".

3. Data pollution, the more you adjust, the more errors you get

I have seen a team in Southeast Asia do channel traffic and obtain hundreds of thousands of mobile phone numbers. As a result, a large number of invalid numbers were mixed into the database, which ultimately led to the distortion of the "user active time" and "interest tags" they analyzed. Because invalid accounts never responded, dragging down the overall data, they instead deleted some high-quality event content.

This is the scariest thing about data pollution——Not only is it a waste of money, but it also makes you deviate from the right direction the harder you work.

LIKE.TG screen number: the first line of defense for TG marketing

Many teams have tried manual detection, but it is slow and inaccurate; making their own tools is expensive and requires understanding of technology; outsourcing inspections also worries about data leakage.

LIKE.TG’s screening tool solves these pain points:

• Zero threshold use: No need to know the code, Excel/CSV can be uploaded with one click to run the results.
• Batch testing: Tens of thousands or even hundreds of thousands of numbers can be processed efficiently.
• Higher accuracy: Far more stable than manual methods, and data can be directly used for decision-making.

Three major values: Why is it said that the screen number is not an "optional" but a "required option"?

LIKE.TG number screening not only helps you "remove invalid numbers", but also solves three core problems from the source:

1. save budget: Spend your money on real users, not air.
2. Support accurate decision-making: After filtering out invalid accounts, your click-through rate, activity and other data will be meaningful.
3. Prevent data pollution: Keep your user database clean and avoid misleading conclusions.

Three steps to get started, easy operation

1. Prepare a list of numbers

• Excel/CSV format, remember to add the country code (such as +66, +1).

2. Upload detection

• Small and medium-sized teams: Just upload the backend web page.
• Large team/with CRM: direct API connection.

3. Interpret the results

• Opened account: key operation object, can be used to push activities and community invitations.
• For those who have not opened an account: they can be guided to register for TG through text messages, emails, etc.

Typical application scenarios

I suggest you think of the LIKE.TG filter as aRegular operational actions, rather than a one-time tool.

• Before the event: Screen numbers first and then budget to avoid too many or too few benefits.
• Clean database every month: Keep the user pool clean for easy analysis.
• Filter by activity level: First screen for activation, then screen for activity. For example, if users who have been online in the last 7 days are given priority, the notification arrival rate will be significantly improved.

Real case sharing

• Southeast Asia e-commerce cases
• A team selling fast-moving consumer goods in Malaysia had a long-term click-through rate of less than 3%. After screening LIKE.TG numbers, they found that 35% of the numbers did not have TG activated at all. After removing the invalid accounts, the click-through rate returned to over 8%.
• Web3 project case
• A crypto wallet used LIKE.TG to check 50,000 numbers before the airdrop event and found that 40% of them were invalid. Without screening numbers, their budget would have wasted nearly $20,000.
• Cross-border e-commerce case
• An independent website team that produces European and American household products routinely cleans the database once a month. Through LIKE.TG, they controlled the proportion of invalid numbers below 5% and increased their ROI by 18%.

Frequently Asked Questions (FAQ)

Q1: Is the detection data safe?

A: LIKE.TG uses encrypted transmission and does not save user numbers. The detection process is safe and compliant.

Q2: Are the test results accurate?

A: The system is based on TG real-time verification, with an accuracy rate higher than 95%, which is far better than manual methods.

Q3: If the number is not activated for TG, what else can be done?

A: You can reach out via SMS, WhatsApp or email a second time, invite users to register for TG, and then guide them into the community.

Q4: What size team is it suitable for?

A: It can be used by both small and medium-sized sellers and large-scale teams. Small teams can run directly on the web page, and large teams can connect to the system via API.

Summary: Precision marketing starts from the first step of screening

In TG marketing, “quantity” is never the key to victory or defeat.Accuracy is the decisive factor in ROI.

LIKE.TG filter number can help us spend every budget on truly valuable users and avoid falling into the trap of ineffective delivery.

👉 Now, you can contact the LIKE.TG account manager to receive a free $5 trial fee and immediately check the authenticity and efficiency of your number library:

• Telegram contact information:@LIKETGLiAccount Manager Ali

Don’t let invalid accounts quietly eat up your budget. Precision marketing starts with screening numbers.

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📞 Contact the official account manager to obtain trial rights:

• Telegram Account Manager (Ali):@LIKETGLi
• WhatsApp Account Manager (Enron):Click to contact

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