Comments on: Guess sales figures for any iPhone application

By: iPhone Sales Figures « factornine blog

iPhone Sales Figures « factornine blog — Tue, 02 Feb 2010 14:45:04 +0000

[...] do. There’s a method to questimate the number of sales from the number of reviews. See Guess sales figures. This method suggests a review to sales ratio of 350:1, that is 1 review would equal 350 [...]

By: edwin

edwin — Thu, 01 Oct 2009 17:07:43 +0000

Are you talking about the number of “Reviews” (the page you get to after clicking the Ratings) or number of Ratings? How does this compare versus “Ratings”? I noticed iPhone recently started asking for Rating when uninstalling so this probably changes Ratings statistics a lot. Are these tied to particular versions or all versions?

By: edwin

edwin — Thu, 25 Jun 2009 00:43:09 +0000

Is there any way to calculate, what percent of apps get under 100 reviews? under 1000 reviews? etc

By: iphone downloads

iphone downloads — Sat, 23 May 2009 07:00:30 +0000

iphone downloads…

I looked through your previous posts on Mobile Application Usenet Newsgroup Newsreaders For iPhone, Android and …. Nice work there….

By: Scott McDowell

Scott McDowell — Thu, 12 Mar 2009 13:37:50 +0000

Although unscientific it’s quite accurate for 80% of our apps. We have 8 applications in the store right now and I can tell you the 350 Rule would apply to most of them. However he have noticed a huge difference between each category, for example our iHistory App doesn’t not fall into the 350 rule but iJobs, iAuto and iPets certainly do. Thanks for sharing.

By: Chris

Chris — Fri, 27 Feb 2009 21:43:35 +0000

This was fairly accurate for our US reviews number. I guess the assumption would be that the US market is everyones dominant market.

By: Peter Melnikov

Peter Melnikov — Fri, 27 Feb 2009 12:27:54 +0000

Carlos – not sure what you mean – please elaborate

By: woo

woo — Thu, 26 Feb 2009 22:57:08 +0000

Hmm, it’s pretty rough (and I think will be an overestimate on apps with significantly negative feedback). I also see there being a bit of a skew toward more comments/sale as the price goes up (since users have more “invested” in it and are more likely to care about that “investment”)

But, for what it’s worth, my app (ooTunes Radio) is around 1800 downloads, with something like 33 reviews).

I’d guess that number of comments/sale correlates pretty well with frequency of use or time spent using the app. That’s just a hunch from my own experience though.

By: Carlos

Carlos — Thu, 26 Feb 2009 22:24:11 +0000

Should also be able to use an estimated power law distribution to fill in gaps in the numbers. I’ve been expecting someone to put together a Google docs public spreadsheet with these kinds of estimates any day now.

By: Nikita Logachev

Nikita Logachev — Thu, 26 Feb 2009 02:33:37 +0000

Predicting an app’s unit sales…

Peter Melnikov over at MoveYourWeb has posted a simple but elegant way of predicting an app’s sales figures. Short and sweet, just follow the link. Read more.
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