Don't want to be a stats-nazi, but I wonder if 66 is an adequate sample size when respondants are self-selected (as opposed to random).
(66 respondants can be deduced by finding the highest common denominator in all the response percentages. In this case the HCD is 1.51515. So 100/1.51515 = 66.)
The last few charts are the most telling. The majority of free sites reported $1-$5 in monthly revenue but the majority of subscription sites reported $1000-$5000 a month.
Is that revenue per user, or overall? My barely-maintained blog makes more than $5 a month in revenue. Maybe some are having a low or no ad site to start out?
It would be awesome if they released the data in some form, the interesting questions would be.. how successful are bootstrapped vs. funded? How successful are multi-founder vs. single-founder. How do these number change when you look at founding date, etc.
I always hate when I see good data put into charts that basically tells you the least interesting part of the story.
Gotta call bullshit on this one: Percentage of active users on your free plan
Only 6% of sites have >50% of active users on their free plan? So, 94% of freemium web apps have >50% conversion rates, and 43% have >99% conversion? Guess that means I'm really, really bad at converting free -> paid.
It kind of makes sense when inverted, but that's a really bad typo.
It's the correlations that would be interesting here - how does marketing cost per user relate to revenue per user? How do monthly costs relate to number of active users? Etc. Or even if we could see all these same pie charts, but filtered to (eg) companies with between 20 and 50k in monthly revenue...
(66 respondants can be deduced by finding the highest common denominator in all the response percentages. In this case the HCD is 1.51515. So 100/1.51515 = 66.)