TikTok blogger fan detection, what other data can be seen besides the number of account fans? TikTok blogger fan detection, what other data can be seen besides the number of account fans?

try to findWhen cooperating with TikTok bloggers, they are most likely to be biased by their fans. An account with 200,000 fans may seem more attractive than 50,000 fans, but after it is actually launched, the number of views, quality of comments and inquiries may be completely different.

What is really worth looking at in TikTok blogger fan testing is not just the number of fans, but whether the fan growth is natural, whether the content and fans match, how the recent video interaction is, and whether the target country is in line with the business direction. Putting this information together, we can judge whether a blogger is just "good in numbers" or whether he really has the value of cooperation.

Just because there are many fans doesn’t mean that these fans are all related to the product.

The number of fans can only show how many followers an account has accumulated. It cannot directly explain why these people follow it, nor can it prove that they will be interested in a certain product.

For example, twoTikTok blogger:

Account A has 250,000 fans, and its usual content includes comedy, games, food, life records, and the themes are relatively miscellaneous;

Account B only has 70,000 followers, but it has only been doing outdoor equipment reviews for a long time.

If you promote camping lights, outdoor power supplies, and mountaineering supplies,Although account B has much fewer fans, it may be more worthy of attention because there is an obvious connection between the content and the product.

so doWhen testing TikTok bloggers’ fans, the first question should not be “do they have enough fans?” but should be “why do these fans follow this blogger?”

The growth rate of fans is more worth watching than a static number

An account is displayed todayWith 100,000 fans, you can only see the results, but you can’t see where these 100,000 fans came from.

If the account has been growing steadily in the past few months, and the number of fans has increased significantly after a few recent videos went viral, this change can at least correspond to the performance of the content.

If an account only has 20,000 or 30,000 fans for a long time, and then suddenly jumps to hundreds of thousands in a short period of time, but there is no obvious change in video playback, comments, and likes, it is worth continuing to observe.

This is not a direct judgment after seeing rapid growth."Fake fans", but to see whether the growth logic can be explained.

For example:

lThe number of fans increases rapidly after the emergence of a popular video, which is a relatively common growth situation;

lAfter the account is recommended by a big blogger, there are reasonable reasons for it to gain a lot of attention in a short period of time;

lThere is a sudden surge in fans, but the content performance during the same period has basically remained unchanged, so further verification is needed.

TikTok blogger detection is more like looking for abnormal signals, rather than using an indicator to directly characterize the account.

The number of views and the number of fans have not kept up for a long time, so you need to watch more videos

Some bloggers have a lot of fans, but the views of their recent dozen or so videos have been very low.

This situation does not necessarily mean there is a problem with the account, it may also be a change in content direction, a drop in traffic, or a large number of historical fans have stopped paying attention.

So you can’t just make a judgment based on one video.

What is more practical is to look at the overall performance in the recent period, such as continuous viewing10 to 20 public videos, observe whether the playback volume is relatively stable, whether there are any obvious hits, and what level the ordinary content is.

For example a200,000 fan accounts:

Most of the last ten videos only have3000 to 5000 plays, occasionally more than 10,000;

anotherWith 80,000 fan accounts, the last ten posts often get 20,000 to 50,000 views.

If you only look at the number of fans, the first account is bigger; if you look at the recent real content performance, the second account may be more valuable for cooperation.

It’s easier to tell whether fans are actually watching the content in the comment section than in the number of likes

Likes move quickly, and comments usually require more time from the user.

So siftAs a TikTok blogger, you can take a look at the comment section appropriately.

The point is not to mechanically count the number of comments, but to see if there is any relationship between the comments and the video content.

For example, under a product review video there are a lot of things similar to:

How long does this model last?

Can it be shipped to Germany?

What's the difference from the previous generation?

Is there a version suitable for outdoor use?

This kind of comment shows that the audience is really communicating around the content.

If most of the comments are very repetitive and have no obvious relationship with the video content, or highly similar short sentences always appear under different videos, you need to continue to observe the quality of account interaction.

Of course, the number of comments depends on the type of content. Funny videos may have a lot of comments, professionalThere are few comments on B2B content, so different types of accounts cannot be directly applied to a fixed interaction standard.

The verticality of a blogger’s content is easier to actually judge than a simple fan portrait

If you want to know whether a blogger is suitable for promoting a certain product, the easiest thing to directly observe is what he has posted in the past.

You can roughly classify the recent dozens of videos.

for example:

Beauty tutorial account70%;

Life records account for20%;

Travel content accounts for10%.

Then the core positioning of this account will be relatively clear.

If content is distributed about cars today, games tomorrow, pets the day after tomorrow, and finance a few days later, the sources of fans will be even more dispersed. Even if there are many fans, it may not be suitable for brand cooperation that requires precise crowds.

soTikTok blogger fan detection cannot be separated from the content itself. Why fans stay is often written in the blogger’s past videos.

If the target country is wrong, no matter how many fans you have, it may be useless.

When doing overseas promotion, you must also consider the market.

For example, the product can only be distributed to Europe and the United States, but a large amount of the blogger's content is obviously aimed at local users in Southeast Asia; or the product is mainly for the French market, and although the blogger has many fans, the content language and audience are mainly concentrated in other regions.

This kind of cooperation may cause a very typical problem: the video data is very beautiful, but not many users can actually convert it.

If legal audience region information can be obtained from the platform backend, blogger cooperation materials, or advertising cooperation process, you can focus on the proportion of the target country.

If complete fan region data is not available, you can also make basic judgments based on public content, such as video language, comment language, live broadcast time, content scenes and brand cooperation records.

These can only be used as auxiliary reference and cannot be directly regarded as accurate fan country statistics.

so-called“Highly interactive bloggers” cannot just look at an interaction rate number

Interaction rate is indeed common, but it cannot be used mechanically.

One account posts controversial content and may have a lot of comments; another account posts tutorials, and users are more accustomed to collecting rather than commenting.

Different content forms have different interactive structures.

When actually doing screening, you can combine several public signals to judge:

lIs the recent video playback stable?

lDo likes, comments, and shares have a relatively normal relationship with the number of views?

lWhether the comments are about the content itself;

lWhether people continue to interact with similar content;

lHas the blogger recently stopped updating or significantly changed the direction of the content?

There is no need to insist that all indicators be very high. The key is that the data should not obviously fight with each other.

The authenticity of fans cannot be given an absolute answer by one tool

The terms "real fan ratio" and "robot fan ratio" often appear in TikTok blogger fan testing.

Such indicators can be used as auxiliary references, but should not be understood as 100% accurate proof of real person identity.

Because whether an account is a robot, a low-quality account, or an account that has been inactive for a long time, it usually requires a combination of multiple signals to determine. Simply having an empty fan profile picture, a simple nickname, or no public video cannot directly prove that the other party must be a fake account.

Therefore, a more reliable way to write it is"Abnormal fan signals" and "low-quality fan risks" rather than directly concluding what percentage of a certain blogger is fake fans.

Digital Planet is more suitable for supplementingTikTok account and UID layer

After screening TikTok bloggers, if you have sorted out the accounts, UIDs or normally obtained customer data that need further verification, you can use Digital Planet to supplement TikTok-related account detection information.

The functions must be clearly distinguished here.

The blogger’s number of fans, public video performance, comment quality, and content verticality should all start withJudging from TikTok’s public data, cooperation information provided by bloggers, and the company’s own delivery records.

Digital Planet is more suitable forTikTok UID, account status, number and other actually supported data screening links are used to supplement the basic status of the account, instead of directly calculating "how many real fans this blogger has" and "how strong the purchasing power of fans is" through a UID.

It is more reasonable to use it this way, because blogger analysis and account detection each solve different problems.

Before you really prepare to cooperate, you can make a blogger rating form yourself

It doesn’t need to be particularly complicated, seven or eight fields are enough.

For example, you can record the blogger’s account number, number of fans, recent10 average views, content direction, target countries, review quality, historical cooperation products and contact information.

Then make your own judgment based on business needs.

For example, selling beauty products can increaseThe weight of "proportion of beauty content" and "content related to female audiences"; when selling software tools, you may be more concerned about whether the blogger has long been engaged in efficiency tools, technology, AI or business content.

The scoring rules should follow the product, and not all bloggers should apply the same set of standards.

One popular video cannot represent the entire account

Some accounts may suddenly gain millions of views because of a video, but then the content will quickly fall back.

If a brand happens to see this hot item, it is easy to overestimate the overall performance of the account.

When judging bloggers, you can separate popular videos from ordinary videos.

For example:

After working together once, your own conversion data is more important than fan detection.

Before the first cooperation, many judgments could only rely on bloggers’ public data.

After you have truly cooperated, you should save your results.

For example, how many website visits, how many form submissions, how many inquiries, and how many actual orders this blogger brought.

When considering cooperation for the second time, the value of this data is usually more than"How many fans have increased again" is even higher.

Eventually you can form your own blogger library:

BloggerA, 200,000 fans, high playback, but very few inquiries for the first cooperation;

BloggerB, 60,000 fans, average playback, but good customer consultation quality;

BloggerC, 120,000 fans, the target country does not match, and cooperation is temporarily suspended.

The longer this kind of record is kept, the harder it will be to find a blogger who only looks at superficial numbers.

The real solution of TikTok blogger fan detection is not to find out who each person is from hundreds of thousands of fans, but to determine whether a blogger's fan growth, content direction, public interaction and target market match the promotion needs. The number of fans can be used as an entry point, but what really determines the value of cooperation is often the long-term content performance of the account and the actual business results it brings.

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TikTok blogger fan detection, what other data can be seen besides the number of account fans?