Throughout an SEO project there are many different ways to measure performance, but which is the most important?
Is it your keyword rankings? Is it your traffic? What about conversions? Or does revenue come in to it? Maybe it's all about the links?
This post shortlists the top five key performance indicators (KPIs) that you might already be looking at or should really consider using, with explanations of their pros and cons.
After reading this post you should have a good insight in to what you need to look at in order to achieve your goals for a website.
IBM may be one of the largest, most successful technology companies in the world, and it has a piece of a lot of pies. But chances are it isn't one of the top companies that comes to mind when you utter the words "social media" or "social network."
For a growing number of corporations, however, IBM has become the social networking vendor.
LinkedIn has launched a new statistics dashboard that will provide insights and analytics into every group within the social network.
Anita Lillie, data visualisation designer at LinkedIn, announced the news on the company’s blog. She outlined that the tool, called Group Statistics, aims to help people work out how active a group is, what kind of professionals contribute to it and how valuable it could be.
Following on from my post about how to track on page website leads in Google Analytics, this post is here to show you how to tie in any leads via the phone with the callers' activity on your website.
With many businesses that do not have an online shop, the phone is often the biggest source of business but also one of the hardest to track.
Imagine seeing which users called you and finding out which keywords and traffic sources they used to get to your site.
By the end of this post you will know how to get this invaluable data too.
There is a lot to communicate in modern marketing and our methods haven't kept up with the times. I often find myself giving trying to solve problems by phone and email; methods which turn out to be unnecessarily time consuming and open to miscommunication
I want to show a different way to communicate analytics actions to a client. I use a tool called Screenr. It is a simple desktop video capture service, like a Flip camera for your desktop.
Using Screenr I find I can very quickly communicate and educate around specific topics. It is perfect for clearly showing clients how to take control of analytics.
I have put together five videos of five actions clients often need to do with their own analytics, to show you how powerful a quick video communication tool can be and provide inspiration for making your own.
Understanding purchase latency, the number of days between purchase events, is essential to any customer retention strategy.
If you know how typical customers behave you can identify those who are likely to defect when they don't purchase again within the average latency period, using so-called trip wire events.
If you can re-engage customers before they defect, you'll retain them longer and your revenues will rise.
In my experience, the day of the week and hour of the day at which marketing emails are sent is often based on little more than the gut feeling of the email marketer and the performance of previous emails, rather than real data.
As someone who could put the anal in analytics, I think that's a rather inexact science. Surely there's a more accurate way to figure out whether the assumption is really true?
Many retailers have published their Christmas results recently and on first glance it shows that many retailers did extremely well over the period online, compared to Christmas 2009.
It's only when you look at these figures relative to overall trading figures for each business that the true picture comes to light and all is, perhaps, not as it seems.
Imagine not being able to track traffic that was referred to your website. Think the day will never come? Think again.
Last week, Google unveiled a beta of a new SSL-encrypted version of its search engine called Google with SSL. The pitch to consumers: "a more secure and private search experience."
This is part three of a four-part series on how to use Google Analytics to track Telephone Leads.
Part one described the overall call tracking system. Part two explained how the data can appear in Google Analytics. Part three (this one) will start on the technical side and explain how to get the phone numbers on your site to switch according to the route to site the visitor has taken.
The final part, yet to be written, will explain how to get the data from the telephone call into Google Analytics (this is the CallTrackID bit).