Nestoria Blog

Fellow Nestorstanis,

As you know we take a very analytical approach to trying to understand user behaviour on the Nestoria site. We then feed that information into our product design process. Indeed, one of the technical achievements we’re most pleased with is our internal metrics/analysis system. We literally measure every click on the site.

For a long time now we’ve mulled ways to present some of this information back to the users - or anyone who’s interested really - in an aggregated form. We have several projects along these lines and we hope that in the coming weeks and months there will be more to see along those lines. The challenge of wrangling the data becomes more difficult as the volumes increase. While we can’t reveal exact numbers, Comscore reported record nestoria.co.uk traffic in June, and we are now generating multiple hundreds of thousands of click outs each month, so the data volume is becoming non-trivial.

Nevertheless, in the spirit that “good today is better than perfect tomorrow” we thought that we’d whet your appetites with some basic information.

Here for example is the break down of what type of property listings users clicked on in July 2007.

We see that we have a fairly even distribution between rentals and sales, with flatshares making up only a tiny portion of user interest.

Looking more deeply at homes for sale click behaviour, we break that down by price:

As one would expect most of the action is at the more affordable end of the market, but even at high price ranges there is still significant volume.

Perhaps we’re just data geeks, but we enjoy looking at pictures like this. We hope you do too.

Coming soon, a comparison of behaviour in the perverse property market that is London versus the rest of the UK.