How We Measure

Klout Score

The Klout Score is the measurement of your overall online influence. The scores range from 1 to 100 with higher scores representing a wider and stronger sphere of influence. Klout uses over 35 variables on Facebook and Twitter to measure True Reach, Amplification Probability, and Network Score.

True Reach is the size of your engaged audience and is based on those of your followers and friends who actively listen and react to your messages. Amplification Score is the likelihood that your messages will generate actions (retweets, @messages, likes and comments) and is on a scale of 1 to 100. Network score indicates how influential your engaged audience is and is also on a scale from 1 to 100. The Klout score is highly correlated to clicks, comments and retweets.

We believe that influence is the ability to drive people to action — “action” might be defined as a reply, a retweet, a comment, or a click. We perform significant testing to ensure that the average click-through rate on links shared is highly correlated with a person’s Klout Score. The 25+ variables used to generate scores for each of these categories are normalized across the whole data set and run through our analytics engine. After the first pass of analytics, we apply a specific weight to each data point. We then run the factors through our machine-learning analysis and calculate the final Klout Score. The final Klout Score is a representation of how successful a person is at engaging their audience and how big of an impact their messages have on people.

True Reach

True Reach is the size of your engaged audience. We eliminate inactive and spam accounts, and only include accounts that you influence. To do this we calculate influence for each individual relationship taking into account factors such as whether an individual has shared or acted upon your content and the likelihood that they saw it.

True Reach is broken into the following subcategories:

  • Reach
    • Are your tweets interesting and informative enough to build an audience?
    • How far has your content been spread across Twitter?
    • Are people adding you to lists and are those lists being followed?
  • Demand
    • How many people did you have to follow to build your count of followers?
    • How often are your follows reciprocated?

Factors measured: Followers, Mutual Follows, Friends, Total Retweets, Unique Commenters, Unique Likers, Follower/Follow Ratio, Followed Back %, @ Mention Count, List Count, List Followers Count.

Amplification Probability

Amplification Probability is the likelihood that your content will be acted upon. How often do your messages generate retweets or spark a conversation? The ability to create content that compels others to respond and high-velocity content that spreads into networks beyond your own is a key component of influence.

Amplification Ability is a composite of the following subcategories:

  • Engagement
    • How diverse is the group that @ messages you?
    • Are you broadcasting or participating in conversations?
  • Velocity
    • How likely are you to be retweeted?
    • Do a lot of people retweet you or is it always the same few followers?
  • Activity
    • Are you tweeting too little or too much for your audience?
    • Are your tweets effective in generating new followers, retweets and @ replies?

Factors measured: Unique Retweeters, Unique Messages Retweeted, Likes Per Post, Comments Per Post Follower Retweet %, Unique @ Senders, Follower Mention %, Inbound Messages Per Outbound Message, Update Count.

Network Influence

Network Influence is the influence level of your engaged audience. Engagement is measured based on actions such as retweets, @messages, follows, lists, comments, and likes. Each time a person performs one of these actions it is a testament to the authority and the quality of your content. Capturing the attention of influencers is no easy task, and those who are able to do so are typically creating spectacular content. Network Score looks at the Klout score of each person who interacts with you to determine:

  • How influential are the people who @ message you?
  • How influential are the people who retweet you?
  • How influential are the people who follow you?
  • How influential are the people who list you?
  • How influential are the people who follow the lists you are on?

Factors measured: List inclusions, Follower/Follow Ratio, Followed Back %, Unique Senders, Unique Retweeters, Unique Commenters, Unique Likers, Influence of Followers, Influence of Retweeters and Mentioners, Influence of Friends, Influence of Likers and Commenters



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