Tag Archives: web analytics

For speed freaks only?

I’m researching impact of page load speed on sales – even today when most have broadband. In the UX chapters of my books I used to use the Akamai data on conversion impact of speed, but I don’t think they publish now – maybe doesn’t make the case as well.

This is an interesting blog on how you can use Google Analytics to get an idea of the impact of speed on revenue

Following up further, this analysis of sites shows that the larger sites often have poor performance despite use of Content Distribution Networks (CDNs) like Akamai and Cloudflare.

Apparently, the average user perception of acceptable download speed is 3 seconds while the average Fortune 500 site is 7 seconds. But for the top US retailers the average was 11.21 seconds with only a small number delivering acceptable sub-3 second performance.

CDN Example

Fascinating stuff and all impacts CSAT and $.

Good to see IBM making Analytics more accessible!

As you might expect it’s basic and brief, but worth a scan. Areas that stood out for me were the coverage, scorecards and predictive analytics. Although it covers social media (checkbox!) that’s not so helpful. It would nice to see more on encouraging more use of analytics too.

You can download from here or a Google Search on the title will find it.

How FT.com applies the power of web analytics…

We have real-time data. There are no weekly or monthly reports; there is nothing you can really do in response to retrospective reports.

In a web environment, you need to be thinking: “Is there anything I can do in this minute, this hour or this day to change the business or move it along?”

All around the office we have screens showing traffic and subscriptions data. I think it has made a difference to the culture it’s made us more snappy and quicker at turning things around.

On Email marketing…

We have built automated marketing processes on the back of those insights that go out in emails. That has been transformational for us. We have gone from sending out 3.7 million emails and 90% of the audience not being interested, to sending a few tens of thousands of emails each week only to those who are most likely to want to subscribe.

Quote from Rob Grimshaw, the MD of FT.com in this Marketing Week interview

Also a classic quote about how to target with Email