All of these new-fangled analytics sites seem to be stuck in the same dumb page-views-are-everything model as GA — just watching bird patterns, basically. Things haven't changed much since the bad old days of WebTrends and Analog.
There's no profiling based on facts known to the app (user's age, gender, ethnicity, occupation) or behaviour (posts a lot of long texts, posts a lot of photos, is mostly reading/lurking, etc.), or Bayesian probabilistic analysis of new users. There is so much we want to know about our users, but no real turnkey tools to anlyaze the data with. Instead, everyone seems to be cobbling together their own toolchain with Hadoop and what not.
Seems like an important piece of the analytics stack, yet I don't see anyone doing it. Is this something that anyone has started offering? (I'm thinking SaaS here, not enterprise stuff.)
Analytics tools such as GA are also as terrible at tracking people across domains as these tools have ever been. We have a site which has single sign-on across many, many sites with different domains; we could have used the GA stuff to rewrite links in order to transfer the GA session ID across the domains -- but it's extremely awkward and gets very complicated when you need to implement it consistently both in the server logic (eg., redirects and emails) and the client logic (links, iframes, AJAX, etc.). It seems really silly when the app already knows the identity of the user and can track it consistently across domains.
I definitely see how this functionality is superior to Google Analytics (at least in GA's current format), but it seems like there is little edge over Piwik (http://piwik.org/) or OWA (http://www.openwebanalytics.com/) - at least in functionality. If that's a reasonable assessment, you are simply offering a hosted version for a fee.
Don't get me wrong, web analytics is growing and there is a lot of room for competition. However, it's everyone vs google at the moment. I think it would be good for a small team to strap themselves to one of the existing open source projects (which have far more functionality already, at least compared to your live demo and screenshots) and simply offer a hosted version. Then a group could actively commit updates and enhancements to the existing product (there are a lot of these business models out there, EnterpriseDB being a good, high-profile commercial example).
First thought they were location in Ukraine / Russia, because of these cheap prices. Apparently they are located in Torrance, CA. With these prices, you won't survive... (8.95 USD for the most popular plan).
We expect a large number of registrations.
And we will change the cost of service plans with the growth opportunities of service. For current users the cost will be remain as set at registration or decrease.
We trying to provide consolidated data on dashboard not separated reports. Also we provide performance timing data and soon will be ready event notification system where you can setup alerts as (max on site records, site availability, response time, e.t.c.)
There's no profiling based on facts known to the app (user's age, gender, ethnicity, occupation) or behaviour (posts a lot of long texts, posts a lot of photos, is mostly reading/lurking, etc.), or Bayesian probabilistic analysis of new users. There is so much we want to know about our users, but no real turnkey tools to anlyaze the data with. Instead, everyone seems to be cobbling together their own toolchain with Hadoop and what not.
Seems like an important piece of the analytics stack, yet I don't see anyone doing it. Is this something that anyone has started offering? (I'm thinking SaaS here, not enterprise stuff.)
Analytics tools such as GA are also as terrible at tracking people across domains as these tools have ever been. We have a site which has single sign-on across many, many sites with different domains; we could have used the GA stuff to rewrite links in order to transfer the GA session ID across the domains -- but it's extremely awkward and gets very complicated when you need to implement it consistently both in the server logic (eg., redirects and emails) and the client logic (links, iframes, AJAX, etc.). It seems really silly when the app already knows the identity of the user and can track it consistently across domains.