Each Social Profile in the results page contains the following information:

  • Their name and social media accounts (clickable so you can see
    the channel in the social network.)

  • Their total follower count and location (if you hover over the follower count you’ll see the breakdown per network.)

  • Their Influence Score in the top right next to the expertise skill, if they have one.

  • Portfolio mentions in the bottom right (these are mentions of any of your monitors as well as
    any sponsored content they’ve created.)

  • The diamond with a tick on the profile image means they are vetted within the platform.


Frequently Asked Questions

I can’t find a Twitter/Instagram account on Klear, but I know it exists.

Our header search has a very large database it searches through, including skills, locations and influencers. So, if you can’t find an influencer there, try using the Home page’s “social profiles” search. Choose the network you have the handle for. If this still does not work, go to https://klear.com/profile/HANDLE, and replace the word “HANDLE” with the influencer’s handle.

How do I create additional networks and add them to an influencers profile?

We have pretty much all relevant influencers in our database. So, you shouldn’t need to create new accounts or profiles for influencers. What you may need to do is connect 2 profiles into 1. You can do this is in the settings icon of one of the profiles. There, you’ll be able to add all of the influencers different handles from the different networks.

Why won’t it let me add one of the influencers social accounts to his profile?

In order to add a new network to a profile, the handle must not be connected to another profile with multiple networks attached. You’ll know that this is the case when trying to add the profile If it is, you’ll need to delete the chosen handle from the second profile and only thereafter will you be able to add it to the correct profile.

How does the True Reach algorithm work?

Our TrueReach technology is based on a machine-learning algorithm that predicts the amount of real views an influencer gets per post. It's able to do so by looking at a historical learning set along with deep network features and is able to achieve a very high accuracy rate (r-square=0.78). As reference, trying to evaluate the same just by looking at the number of followers has an extremely low accuracy rate (r-square=0.01). The way it's able to do so is by identifying patterns that correspond with real people vs automated bots or sporadic usage. So, for example, many likes from newly created accounts will be considered as a low-quality pattern, while long-lasting relationships and high-interest space match are considered a high-quality pattern. These are just two basic patterns to explain the point, but there are actually thousands of different patterns, that correspond with different behaviors per audience.

How do you calculate the income level?

Income is based on a statistical model that uses income levels from public datasets (such as the USA census) and matches those to the demographics information (such as age and location.)

Where do you get your demographics data from?

Our demographics, as well as most of the data we provide, come from our proprietary algorithms. We run machine learning and image recognition tools on their content and networks, which, in return provides a great deal of information about each influencer and their fans.

How does the engagement level work?

The engagement level is a comparison between all social entities. So Average is the average rate for all users. Above and below are levels of engagements going up to outstanding which is the top 5%.

How do the average engagements get calculated?

Our average engagements are a statistical calculation. The timeframe it takes into consideration differs based on specific parameters, like network, and activity levels, but it's always a significant sample. On Instagram that is usually means a couple of hundred Instagram posts, on Twitter it can be thousands of tweets.

Most popular hashtags are the most common hashtags used by the audience of this influencer (For example, for a vegan influencer you’ll find #vegan or #crueltyfree).

The most relevant ones are the hashtags which are more unique for this specific audience often helping us learn a bit more into their more specific interests (like #plantbased, #whatveganseat, or #gofruityourself).

How can I know if an influencer has a lot of bots and inactive accounts as fans?

For starters, the database boasts over 1 billion social entities. What makes this so special, is that it not only contains the largest influencer database, but it also contains their fans.

The reason this is so critical is that we've analyzed each and every fan and therefore are able to provide a detailed analyses of the influencers audience. This not only sheds light on the audience demographics, and is also able to tell us how many inactive accounts and bots an influencer has in his fanbase.

Our data scientists have developed machine learning tools, which after analyzing over a billion profiles and 60 trillion(!) pieces of content, have identified patterns that can find those bots, inactive accounts and even fans who are just not interested.

Using these patterns we’ve built our true reach algorithm, which takes out all these “fake followers” to give you the number of real people in an influencer’s fan base. This is used to predict the number of views the influencer receives per piece of content he or she creates.


Thanks for reading more on Klear Profiles. If you have any additional questions, please reach out to help@meltwater.com.

Team Meltwater

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