Many companies have not converted for a long time when doing Telegram marketing. This article breaks down the key factors that really affect conversion from the perspectives of data quality, user structure and activity, and provides practical optimization solutions.
Many companies will encounter a very real problem when doing Telegram marketing: the message is sent, but there is no conversion.于是开始怀疑文案、渠道甚至产品本身。但实际上，绝大多数情况下，问题并不在营销内容，而是在数据本身。
1. Why Telegram marketing has not converted for a long time
Telegram作为全球活跃用户量极高的通讯工具，本身并不缺流量。但企业在实际运营中，往往忽略了数据质量这一核心因素，导致营销效果远低于预期。
The proportion of invalid users is too high
A large number of numbers may not be registered with Telegram, or may have stopped using it long ago. This type of data cannot generate any conversions, but will consume marketing resources.
Seriously insufficient activity
Even effective users will not respond to marketing information if they are inactive for a long time, which will directly affect the click-through rate and conversion rate.
Inaccurate user structure
Marketing without the support of user portraits is essentially "blind investment", which is difficult to match the real needs of users, resulting in low conversion efficiency.
2. How data problems affect the entire conversion link
From touch to conversion, data quality will have a chain reaction in every link.
Reach rate decreased
Invalid users cannot receive messages, directly reducing the overall reach ratio.
Open rate decreases
Low active users will not view or click even if they receive the message.
Reduced conversion rate
In the end, only a small number of users will convert their behavior, resulting in continued low ROI.
3. A key step ignored by 90% of companies: data screening
Compared with continuously expanding the traffic scale, optimizing data quality is the core path to improve conversions.
Telegram number validity detection
Screen the numbers that actually registered for Telegram, eliminate invalid data, and improve the overall data base.
Active user identification
Through behavioral data analysis, recent active users are screened out and the marketing response rate is greatly improved.
Data deduplication and cleaning
Reduce duplicate data, improve data purity, and avoid resource waste caused by repeated marketing.
4. How to build a high-conversion Telegram user pool
Really efficient marketing is not about "more people" but "accurate people".
Prioritize highly active users
Highly active users are more likely to interact and convert, and are the core target group for marketing.
Establish a user layering system
Layering based on activity, interest and behavior to achieve differentiated marketing strategies.
Precise content matching
Use user portraits to push content to increase click-through rates and conversion rates.
5. Comparison of actual results: before optimization vs after optimization
Before a certain team conducted data screening, the Telegram marketing conversion rate had been lower than 10% for a long time. After the introduction of data cleaning and active user screening, the conversion rate increased to more than 35%, and marketing costs dropped significantly.
6. Summary: The transformation problem is essentially a data problem
Telegram’s marketing effect is not good. Most of them are not content problems, but data quality problems. Only through systematic data screening and active user identification can we truly improve conversions and achieve stable growth.
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