Raw follower counts is a vanity metric. In our data, accounts with 10X the followers will often have 1/10th the reach of a smaller, but highly-engaged-with account. Biasing your outreach efforts or comparisons based on these numbers is folly. There's a better way: measure interaction and engagement. Twitter accounts whose tweets earn loads of likes, retweets, comments, and shares are more influential, get more visibility, and have more impact. Sparkscore looks at these interactions to give a true sense of an account's influence.

If you're comparing your retweets, follows, likes, and other metrics against accounts with 10X or 1/10th the number of followers and interactions, you're gonna have a bad time. Comparisons should be against similar accounts with similar amounts of potential reach, and that's why SparkScore provides two numbers: Global and Relative, so you can see how an account stacks up to everyone and how it fares against similarly-sized accounts.

SparkScore doesn't hide anything about how we calculate our numbers -- you can see exactly how the scoring is weighted, what numbers go into it, and how to influence your own score or why another account might be higher or lower. This transparency means you can choose how trustworthy and valuable you find the numbers, nudge us to change, use elements you like in your own reporting or prioritization, even replicate our process with your own tweaks.