Line's local promotion has recently placed more emphasis on users with real avatars. Can such accounts be identified in batches?

existIn the local promotion scenario of Line, user trust is gradually becoming an important factor affecting conversion. Compared with pure registration status or number of accounts, the judgment of account "authenticity" has begun to be given a higher priority. Among them, whether you have a real avatar has become an intuitive but critical reference dimension.

The logic behind this change is clear: local promotion is closer to the social environment of acquaintances, and it is easier for users toAccounts that “look authentic” generate trust, which increases the likelihood of communication and conversion.

Why real avatar users are more valuable in local promotion

The real avatar is essentially a reflection of the integrity of the account.

An account with an avatar usually means that the user has at least completed basic information settings and is more likely to be a long-term user. In local promotion, it is easier for this type of users to establish initial trust, especially when it comes to service consultation, in-store consumption and other scenarios, the feedback is usually more stable.

In contrast, accounts without avatars or with abnormal avatars are often more likely to be ignored or even skipped directly.

Do real avatars equal high-quality users?

Although the real avatar is an important signal, it cannot alone be used as a criterion.

An account with an avatar may not be active or willing to spend; and an account without an avatar may not be completely invalid. Therefore, if you only rely on the avatar dimension, the screening results will be biased.

A more reasonable way is to use the avatar as an auxiliary condition and use it in combination with other data dimensions.

Can such accounts be identified in batches?

From a technical perspective, batch identification at a basic level can be achieved.

For example, identify whether the account has an avatar, whether the avatar is empty or abnormal, etc. This information can be used as preliminary screening conditions to filter out some obviously low-quality accounts. But if a more refined judgment is required, such as the authenticity of the avatar or user behavior, more data needs to be combined.

Therefore, avatar recognition is only part of the screening, but not the whole.

What other dimensions do we need to pay attention to when selecting Line’s local promotion?

In actual operation, in addition to the avatar, you also need to pay attention to multiple key dimensions.

For example, whether the account has been registeredLine, whether it has recent active behavior, whether it is a common local user, and whether there are abnormal or duplicate data. These factors together determine the actual value of the account.

Without these dimensions, it is difficult to support a stable effect simply by relying on avatars.

How should the batch screening process be designed?

A more efficient way is to combine multiple screening steps.

You can first perform account status detection to filter out registered users; then perform activity filtering to filter out low-active accounts; and finally combine avatar recognition to further optimize user quality. Through this layered processing, data accuracy can be gradually improved.

In this process, it can be carried out through Digital PlanetLine account detection, active user screening and basic data filtering eliminate low-quality accounts in advance, and then combine the avatar dimension to conduct more detailed local promotion screening.

Which local promotion scenarios is this type of filtering more suitable for?

Real-life avatar user screening is especially suitable for the following scenarios.

For example, local merchants attract traffic, in-store service promotion, community-based private domain operations, etc. These scenarios rely more on trust and instant communication effects. In these environments, users’“Reality” directly affects conversions.

Therefore, this type of screening method has high value in local promotion.

fromChange from "whether registered" to "whether it looks like a real user"

The screening logic of Line promotion is changing.

In the past, more attention was paid to whether the account existed, but now more attention is paid to whether the account exists."Like a real user". This change gradually shifts the screening dimension from single status judgment to multi-dimensional combination judgment.

Under this trend, the avatar is just an entrance, and the real core is still the comprehensive judgment of data quality and user behavior.

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