Alexa provides one piece of data that is semi-meaningful: That's my point. This measure is semi-meaningful. How meaningful is it? Very? Somewhat? Well, we don

Alexa provides one piece of data that is semi-meaningful: That's my point. This measure is semi-meaningful. How meaningful is it? Very? Somewhat? Well, we don't know. The way you determine how meaningful it is, is by connecting the dots with another measure. For example, we have this measure that is cheap to acquire but perhaps inaccurate (Alexa). Can we connect it with another measure that is harder to acquire but more accurate (e.g. exit value)? if nothing else, I'd wager it's roughly correlated (on average) with market cap and/or exit price. (dmor: this would be a cool graph!) I would wager that too. But we don't know until you run the numbers. Grounding your measures is what separates cool hacks from data you can actually draw meaningful inferences from. I think dmor is trying to do something real here, which is why I think it useful to help her actually push the ball forward and really make something much more valuable. I agree that exit value / market cap is a good auxiliary measure. I think I also suggested this in another comment.