How to make Telegram account activity detection more accurate recently? Should the 3-day and 7-day standards be separated?

existIn Telegram user screening, activity detection has always been important, but recently the focus of discussion has changed from whether to do activity detection to how to make activity detection more accurate. In particular, whether Telegram’s 3-day active users and 7-day active users should be screened separately has been discussed more and more recently.

The reason is actually very practical. Many people used to do itTo filter Telegram active users, it is enough to determine whether they are active. But now, whether we are doing Telegram community operations, Telegram precise reach, or doing Telegram batch screening, a single activity judgment is often not enough. Because 3-day active users and 7-day active users both appear to be active, but their actual values ​​may be completely different.

So the question is not just whether the standards should be separated, but if they are not separated, the data judgment itself is likely to be inaccurate.

Why active detection criteria are starting to break down

Essentially, it's because the active label itself is too thick.

If an accountAlthough usage within 3 days and usage within 7 days are both considered active, the instant response capabilities are different. Especially in scenarios such as Telegram drainage, Telegram group member screening, and community cold start, this difference will be magnified.

In the past, when data was used extensively, people might not care much about this difference. Now that we are paying more and more attention to high active user ratios, we will naturally start to subdivide active standards.

This is alsoThe reason why Telegram activity detection has recently moved from single-layer judgment to hierarchical judgment.

What is the essential difference between 3-day active and 7-day active?

The biggest difference is the heat.

3-day active users are closer to hot users in nature. Such users have more intensive recent usage behavior and are usually more suitable for immediate access scenarios.

and7-day active users are more like stable active users. It’s not that the value is low, but the immediate response ability is usually weaker than the 3-day activity.

This difference may not be obvious in ordinary data use, but in batch screening and precise user screening, it will directly affect subsequent results.

so3-day active and 7-day active are not just different time windows, but also different levels of user status.

Which scenarios are more suitable for priority screening?3 days active users

If the goal is to provide quick feedback,Users who have been active for 3 days are usually worth screening first.

For exampleTelegram traffic diversion, private domain cold start, and group interaction improvement are all scenarios that rely more on instant response.

especially doIn Telegram communities, if you import a high proportion of 3-day active users, the group atmosphere will tend to be easier to create.

This is why many doIf Telegram selects highly active users, users who have been active for 3 days will be taken out separately.

Because it's not just an active label, it's more like a high priority user label.

Which scenesIt is more suitable to be active for 7 days

If the goal is not short-term feedback, but long-term precipitation,Active users for 7 days are valuable.

For example, long-term community operations, content accumulation, and slow-paced user cultivation. Such scenarios do not necessarily require users to respond immediately.

At this timeThe scale of 7-day active users is larger and more suitable for expanding the user pool.

So the question is notBeing active for 3 days is definitely better than being active for 7 days, but it depends on the situation.

If the goals are different, the priorities will naturally be different.

How to make Telegram activity detection more accurate

From a practical point of view, the more accurate approach is usually not to actively screen alone, but to combine screens.

Do it firstTelegram is enabled for testing to ensure that the data base is available.

Then filter abnormal accounts and clean up low-quality accounts first.

and then do it3-day active user screening, 7-day active user screening, and processing in layers instead of mixing them together.

The data screened out in this way is usually much more active and stable than simply screening.

In this link, you can do it through Digital PlanetTelegram activation detection, abnormal account filtering, 3-day active user identification and 7-day active user screening separate high-volume users and stable active users, and then match different operating scenarios.

This process is more accurate than looking at active tags alone.

Why are activity detection and anomaly filtering increasingly done together?

This has been a noticeable change recently.

Because if the abnormal accounts are not cleared first, the activity results themselves may be distorted.

Some accounts appear to meet the active criteria, but are not of good quality themselves.

So now there are manyTelegram's batch screening process will first filter abnormal accounts and then conduct activity detection, rather than splitting these two steps.

In this way, the quality of active results will be much higher.

This is whyTelegram activity detection is increasingly seen as part of data cleaning rather than as a standalone activity.

Should the 3-day and 7-day standards be separated?

If only the conclusion is said, it is worth separating.

Because they are mixed together, the accuracy of judgment is often lost.

3-day active users are more suitable for immediate access.

7-day active users are more suitable for expansion and accumulation.

If the goals are different but the same set of active criteria is used, the filtered data will most likely not be accurate enough.

So it’s not whether the standards can be divided, but whether they should be divided.

And not only should they be divided, they should also be used in layers.

Telegram activity detection logic is actually being upgraded

done in the pastTelegram activity detection focuses on whether the account is active.

The focus now is to what extent the account is active and in what scenarios it is suitable for use.

This is a completely different level.

This is whyTelegram active user screening starts from simple judgment and moves towards stratification of 3-day active users and 7-day active users.

Because the competition now is not just whether there is active data, but whose active data judgment is more accurate.

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