If you are already doing Telegram traffic, but there is still no conversion, don’t rush to change channels or redo your communication skills. A more direct judgment is: the problem is most likely not in traffic, but in data matching . If the account quality is not up to standard, or the crowd label is incorrect, all subsequent actions will be invalid.
Look at the results first, and then infer the location of the problem
If there is traffic but no conversion, these phenomena usually occur:
- There are a lot of people joining the group, but the interaction is very low
- There are sending records for private messages, but there is almost no response.
- There is little difference in the test results of different speaking skills
These all point to one thing in common: the users themselves have not entered a state of effective communication .
Typical manifestations of substandard account quality
In unfiltered data, account status varies widely, and common issues include:
- Low activity or long-term non-use, messages are difficult to see
- New account or abnormal account, unstable behavior
- The status is unclear and it is difficult to judge whether it is worthy of continued contact.
If this type of account accounts for a high proportion, no matter how many contacts are made, it will only amplify the invalid actions.
The impact of mismatched group labels
Even if the account itself is available, if the crowd tags do not match the content, conversions will still be low.
Common misalignments include:
- Region mismatch, time zone and usage habits are different
- Interest or industry mismatch, no interest in the content
- The usage stage is different and the demand is not at the current node.
The result: users see the message but have no reason to respond.
Correct order: first screen for quality, then do crowd matching
A more effective way to deal with it is to put the process up front instead of constantly adjusting during the results stage.
Suggested order:
- Screen account quality first: confirm registration status, activity, and stability
- Then do tag matching: region, interest, usage scenario
- Finally, test the contact methods and speaking skills
This ensures that only available and relatively matched groups of people enter the contact link.
How to use tags and data together
Tags cannot be used independently of data. A more reasonable way is to combine them with account quality.
It can be understood like this:
- Activity solves "will you see it?"
- Tag matching solves "will you respond after reading it"
The superposition of the two is the effective population, rather than the result of a single condition.
Amman pre-processes "quality + label" when using
In actual operation, you can first use Amman to conduct batch detection of numbers, screen out Telegram accounts that have been registered and have usage behavior, and then perform region and group label matching on this part of the data.
This can change the data from "mixed traffic" to "structured crowds", and complete two layers of filtering before entering the reach:
- Availability filtering
- Match filtering
Reduce ineffective contacts and make every step more targeted.
It’s not that the traffic is bad, it’s that the wrong people are used
Many times, it seems that the traffic drainage effect is poor, but in fact, the content is given to inappropriate people.
When account quality and crowd tags are processed at the same time, conversions will be significantly improved even without increasing traffic. On the other hand, if you keep scaling up among low-quality or mismatched people, it will be difficult to produce results no matter how much traffic you have.
Amman is the world's leading number screening platform, providing global customers with batch number screening and testing services covering 236 countries. The platform currently supports more than 40 mainstream social networking and applications, including WhatsApp, Line, Twitter, Facebook, Instagram, LinkedIn, Viber, Zalo, Binance, Signal, etc., adapting to the needs of multiple scenarios.
The main core functions cover multi-dimensional precise screening such as activation, activity, interaction, gender, avatar, age, online, accuracy, empty account, mobile phone device, etc., and can flexibly meet the needs of different users. Its core advantage is to integrate global mainstream social and application resources to provide users with one-stop, real-time and efficient number precision screening services, helping customers achieve global digital layout.
It is a common choice for all professional teams to complete rational screening before actually reaching users.
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