How to filter high-quality IG users, see avatar, region, age, and interactive tags together

There are more and more users on IG, but the proportion of truly valuable users has not increased simultaneously. The data of likes, views, and followings seems very lively, but there are not necessarily many people who can actually enter the private chat and convert.

do it nowIn IG operations, the focus is no longer just on interaction, but on breaking down user tags. After avatar, region, age and interaction behavior are combined, the filtering results will be much more stable than looking at one indicator alone.

Why is it increasingly difficult to filter out high-quality IG users?

NowThe proportion of pan-interaction on IG is getting higher and higher.

Common situations include:

l Lots of likes, but no follow-up communication

l The account looks active but rarely responds

l The interaction behavior of some accounts is very mechanical

If you only look at superficial interactions, it is easy to regard a large number of low-value users as key targets.

Why can avatar tags be used as a basic reference?

The avatar itself cannot directly determine user quality, but it can be used as a first-level judgment.

Generally speaking:

l Real-person avatars are more likely to correspond to real users

l Accounts that have no avatar for a long time or have abnormal avatars have a higher proportion of low-quality accounts.

l Accounts with clear life-like avatars are more likely to form real interactions

This step is not for absolute judgment, but for basic filtering first.

Region and age tags determine match

The acceptance of the same product in different regions and age groups will be very obvious.

For example:

l High-consumption areas are more suitable for high-customer single products

l Younger users are more likely to interact, but conversions may not be stable.

l Users over 25 years old are generally more suitable for long-term projects

Therefore, region and age need to be looked at together rather than used separately.

What should interactive tags really look like?

Many people will focus on the quantity of interactions, but what is truly valuable is the quality of interactions.

What deserves more attention is:

l Is the content of the review true?

l Whether you have participated in similar content for a long time

l Do you have a tendency to proactively communicate?

A user who continues to interact and proactively asks questions is usually more valuable than a large number of simple likes.

Before filtering, filter out abnormal accounts first

If the data itself is mixed with a large number of abnormal accounts, subsequent tag analysis will become increasingly inaccurate.

Need to deal with first:

l Unavailable account

l Abnormal or batch accounts

l Duplicate data

In actual operation, you can first use Digital Planet to do screen number detection to filter out abnormal and unavailable accounts, and then combine avatars, regions and age tags to screen high-quality users. Digital Planet supports free trial screening test.

This ensures that subsequent screening is based on real data.

Tag combinations are more effective than single tags

It is easy to misjudge by looking at a label alone.

For example:

l Real person avatar+ High activity + High consumption areas

l Over 25 years old + long-term interactive users

l Active account+ Local area users

This combined judgment will be more stable than looking at age or interaction alone.

Different industries have different screening priorities.

Although IG users are all on the same platform, industry differences will affect the screening logic.

The beauty category pays more attention to interaction and content participation.

Local services are more regionally and long-term active.

High-end single products are more dependent on age and spending power.

If all industries use the same screening method, the subsequent results will usually not be stable.

A common misunderstanding is to only pursue high interaction

High interaction does not necessarily equal high conversion.

Many high-traffic accounts will like frequently but have no real demand.

If you only filter based on interaction volume, the backend can easily be slowed down by low-quality users.

What is truly valuable is the coexistence of interaction and matching.

The core of high-quality user screening is to reduce ineffective communication

The data becomes clearer when avatar, region, age and interaction tags are combined.

Subsequent private chats are easier to advance and the content direction is easier to adjust.

Customer service does not need to repeatedly face a large number of low-quality users, and the overall rhythm will be much more stable.

IG operations are shifting from traffic thinking to screening thinking

In the past, more emphasis was placed on account growth and the number of interactions, but now more important is user quality.

For the same batch of traffic, but with different filtering logic, the final conversion will be much different.

Take apart the user tags and reassemble them now.An increasingly important step in IG operations.

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