How to batch filter Telegram active users? Quick extraction method of behavioral data in the past 3 days

Although Telegram accounts do not disclose all user statuses like other social platforms, through certain data modeling and detection methods, it can still accurately determine whether a user has been active in the past 3 days, and quickly filter out it based on behavioral tagsActive user pool with conversion potential.

For teams doing marketing, community traffic, advertising, or account maintenance, this is a key link to maximize efficiency.

Why filterTelegram users who are “active in the last 3 days”?

Compared with just looking at the account registration time,A user’s active frequency better reflects their current accessibility. especially nearAccounts that are active within 3 days have the following three advantages:

1. Can be reached immediately to improve message delivery rate

Active users are often online, and the messages they send are more likely to be seen, clicked, and responded to.

2. Have current intention to use

A high frequency of activity indicates that the account is still being used recently.Telegram, the marketing conversion window is clearer.

3. Can quickly become a private domain user

Highly active accounts have fast response times and are suitable for settling as seed users or community backbones.

How does Telegram determine whether it has been active in the past 3 days?

Telegram does not directly display the "active time" at the public level, but through detection in the following ways, the "active in the past 3 days" status can be restored very accurately.

1. Status field identification

The data returned through a specific interface will include the following fields:

llast_seen_recently(most recently active)

llast_seen_within_week(Active within a week)

llast_seen_within_month(Active within one month)

llast_seen_long_time_ago(Not online for a long time)

Among them, if"Recently active" or "active within a week", combined with the current date, can be used to calculate whether you logged in within the past 72 hours.

2. Online status capture (some interfaces returnonline or last_seen timestamp)

If the target account is displayed during detection"Online", or with a clear timestamplast_seen field, you can directly subtract it from the current time to determine whether it isWithin 72 hours.

3. Multiple rounds of data comparison

If there are historical data records (such as yesterday's status and the day before yesterday's status), by comparing the field change trends, you can further confirm the user's active trajectory and eliminate misjudgments.

Screening process: how to select from a large number ofExtract "3-day active" users from Telegram account?

Batch screening must be carried out systematically. The following is the standard process:

Step 1: Obtain the data to be testedTelegram account pool

The source of the account pool can be:

lUser list collected by TG group

lUsers captured from the message area of ​​Telegram channels

lCreate a self-created private domain userID list

lAccount data collected through reverse checking of mobile phone numbers, user names, etc.

Step 2: Check account status in batches

Use compliance platforms or detection tools to perform the following actions on these accounts:

lCall the active status interface to capture the current status field

lMarked at last_seen_recently or explicit timestamp less than72 hours account

lRecord status update frequency to differentiate between occasionally active and continuously active users

Step 3: Labeling and layered output

Classify and label the detected accounts:

l"Active within 72 hours"

l"Active within the week but not within the past three days"

l“Monthly active but not often online”

l"Prolonged inactivity"

This will facilitate the formulation of next-step strategies, such as: only adding the first type of users to group messaging,Bot automatic follow-up, community building and other operations.

How to complete this process in batches? It is recommended to use the Digital Planet platform

Digital Planet PlatformNow onlineTelegram active status screening module is particularly suitable for large-scale account detection scenarios.

Core features include:

lSupport batch importTelegram ID, username, mobile phone number for activity status detection

lAuto tag"Active in the past 3 days", "Active in the past 7 days", "Online status" and other fields

lStructured results can be exported, and fields include account information.+active tags+gender+avatar+account type

lSupports overlay filtering, if both"Active within 3 days + male + public nickname + personal account"

lNo need to install scripts or manual operations, the entire process is executed in the cloud, and the results can be downloaded directly

Widely applicable to the following scenarios:

lTelegram advertisers screen numbers before advertising

lClean user pool before setting up Telegram private domain

lAfter attracting traffic, the landing page automatically filters out effective users.

lConstruction of active member pool required for accurate community formation

lEliminate zombies and silent users before sending bot messages to groups

After enterprises use the Digital Planet platform, they generallyThe message reach rate increased toMore than 70%, and effectively reduce resource waste rate and improve delivery conversion data.

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