Original Post: Social Media Analytics: Twitter: Quantitative & Qualitative Metrics
Klout is a wonderful little tool that measures Klout Score, a proxy for “influence”:

It is easy to understand the market demand to boil things down to one number, but this is perhaps the least useful thing in Klout.
While on the surface they might seem useful, I am always suspicious of compound metrics. They can be subjective, inapplicable to many and efficiently hide the insights you need to understand what actions to take. [See more here for Compound Metrics: Four Not Useful KPI Measurement Techniques]
Mercifully there is so much more to Klout than that.
Klout measures a bunch of lovely metrics, specifically applicable to Twitter, that are grouped into four buckets: Reach, Demand, Engagement (!!)
, Velocity.

There are two lovely things about these computations.
1. Joe and team have wonderfully avoided the temptation make these compound metrics (as in Reach = Followers / Total Retweets * Friends + Pixie Dust). The factors used are laid out as individual metrics making it easy for you understand the data and pick metrics that work for you.
2. (My favorite) The metric definitions are not “crap”. This seems like such a low bar to meet, sadly far too often metrics out there (not just for twitter) are just plain shoddy.
For example here are some clean definitions from Klout:
# Engagement
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