Moz ~100 employees. Reasonably funded, so reckon $15-20m/year based on this. Not all $99/month accounts so assume ACV of $120/month ($1440/year) and we get about 10,500 customers. Vaguely accurate?
Not sure how useful this may be, but if you took a single industry or business "type" it might have more meaningful data. Does make me think of the Econometrics module I've just started!
SEOmoz 2012 projections were $18m revenue and 16,000 customers based on this post: http://www.seomoz.org/blog/mozs-18-million-venture-financing-our-story-metrics-and-future
Assuming they hit numbers, it looks relatively close. Rand?
Obviously one of the drawbacks of econometric models is that it's hard to discern between correlation and causation. Building a model which predicts revenue streams certainly provides value; it can forecast future revenue streams (within confidence intervals of course), but it'd be dangerous to rely on them too heavily especially with so much discussion about investor (angel, VC, etc.) bias on who they invest in and common linkbuilding strategies. I point this out only because Jason's formula specifies it works only for "pre-public SAAS/web service" companies.
Any econometrician knows that correlation across the board becomes 1 in bubbles/recessions, so what were you thinking of factoring in terms of systemic risks? We wouldn't want this sort of stuff leading us the way the financial industry went in 2007...
We'll have full numbers released on Wednesday (I'll be on a plane, unfortunately), but revenue was $21.9mm. We have 106 FTEs today and ~19K paying customers at ~$106 ARPU. Hence, we're on the high end of this.
To be fair, we're not truly SaaS, but rather subscription SaaS, which is a slight variant on the model that requires fewer employees (since there's no "sales" dept).
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