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Don't students know how to dismantle the benchmark account when they are doing media work?
Who else doesn't understand account operation, dry goods disassembly and benchmarking account?

How to find a benchmark account?

Disassemble the benchmark account from five angles

Finally, there is a form template for account splitting.

How to find a benchmark account?

1- Search for industry keywords

Click on the user to view the outstanding bloggers on the same track.

2- Click on the topic in the explosive content

Choose popular works and follow them to find benchmark accounts.

3- Pay attention to recommendation

When you pay attention to a benchmark account, you will enter the main page, and there will be the same type of recommended account.

4- Big Data Advice

When you brush a lot of topics, big data will automatically recommend similar content to you. When you brush your mobile phone, you can pay attention to the recommended content on the home page.

5- Using Data Analysis Platform

For example, websites such as Qiangua, Mama Cicada and Shacha Tea are looking for benchmark accounts.

Classify standard account numbers

1- Big Brother level (fans 50W+)

The topic selection, planning, operation and realization of this kind of account is a very mature system, which can focus on learning: topic selection direction, long-term operation ideas and realization mode.

Double-role model level (fans 5-20W)

What needs to be understood is that compared with the big brother account, what differentiated performances are worth learning, or is there anyone? Choose a topic?

3- Partner Level (Fans 0-2W)

Focus on understanding why, at the same stage, other people's content can be popular, while your data is very general. There are still many details I haven't noticed. Learn more and analyze more.

For these three types of accounts, you need to find 5- 10 benchmark accounts.

Solve the benchmark account from five angles.

1- used for people

IP creation, account location, nickname/avatar/profile, etc.

2- Theme Selection

Theme type, theme series, update frequency

3- Content

Data analysis, such as views+likes and comments+release time, cover, title, beginning, end and text structure.

4- Number of fans

Number of fans, age, region and gender; The pain point of fans

5- liquidation mode

Access, live broadcast, private domain, shops, etc.