According to TechCrunch. Google Trends has now improved it’s searchable data. Not only can you trend what people are searching for on Google by country. You can now further segment this data by Images, Shopping and even Youtube. Continue reading Google Trends improves and adds more value to your reports
eLearning isn’t becoming a big thing. It already is. You just have to look at how much Linkedin paid for Lynda.com to expand their appeal to professionals.
Individuals are paying more attention to managing their own personal development rather than relying on businesses. Most larger businesses have their own learning and development teams and their method of delivery is guess what… elearning! Continue reading eLearning and Web Analytics means Success
Websites have a rather confusing objective. They need to streamline the conversion process and also keep the customers on the website as long as possible.
So in short – “buy quick but hang around”.
Numberminds has always strived to attain qualifications. We’re now proud to say that we have a IBM Digital Analytics Certified Business Analytics Consultant qualification.
Whilst attending the amazing IBM conference in Madrid at the back end of last year – where IBM where showing an amazing range of their technology stack and how they were taking ecommerce seriously.
I am sure many of you are aware that Coremetrics (as it was formally called) was bought by IBM back in 2010 and it has now been renamed IBM Digital Analytics. What was announced at the conference was that this is now just part of the ecommerce stack – now called Customer Experience Analytics.
Now you can re-play customer sessions using Tealeaf technology (which is now cloud based and no longer a local solution which required significant infrastructure investment).
You can also import your own data in order to complete the story. This could be telephony data, customer data or more.
Our skills lie in developing a data driven culture in an organisation and this is started by giving them a taste of knowledge.
Nothing is more annoying to a web analyst than seeing the cart abandonment go up. Has the quality of traffic gone down? Are we targeting the wrong customer segment? Is the marketing in need to being adapted?
All these questions can not easily be answered but, what can be answered is understanding the real metric.
Regular expressions is a language that every analyst needs to know when working with web analytics tools (and a lot of others aswell). Regular Expressions (or RegEx) allows you to filter, create segments, group together values and more.
The scary thing is that well it appears to be code like and this isn’t every analysts best skill-set. The truth is that it isn’t as hard as all that. Any coder of any level will tell you that you need to make sure that your coding is accurate. The computer can’t be expected to make a judgement call based on a close spelling. It needs to be accurate.
So in the lives of analysts. When writing Regular Expressions just be sure to give it the love and attention that you give your stakeholder reports. Imagine the storm of trouble inaccurate reports would bring down on you. Regular Expressions – well if they aren’t written accurately then they simply won’t work (or work as expected).
Sample – filtering on a domain name
this will select everything that has orange.co.uk in the string. So imagine you’re looking at a long list of email addresses and you’re wanting only those that are from orange.co.uk. Then simply apply the above.
Most Common Used RegEx
|^||Denotes the beginning of a string|
|\||Ignore the next character|
|(0-9)||Any value between 0 and 9|
||||Or e.g. a|b will give a or b|
|$||Denotes the end of a string|
- 123.orange.co.uk – matching
- 456.orange.co.uk – matching
- hub.orange.co.uk – not matching
How to Test RegEx
There are plenty of testers that you can plugin in both your proposed RegEx and also a test string. If it matches then it will highlight. Similarly if it only part matches then you will only see a part highlight.
The one I’ve used most over the past few months is: Regexr.com. I find their interface very friendly and easy to use. However, just because it works in a tester doesn’t necessarily mean that it is going to work in Google Analytics or another analysis package. Some of these analytics providers have a custom RegEx implementation so it is always good to check.
You can see here that the I’ve highlighted the test string and it’s highlighted in blue by RegExr.com indicating that the value matches the regular expression.
All you need to do is them simply copy the string and place where required.
I’ve been a web analyst for many years now and I’ve used so many tools to deliver insight to my clients. One of the commonalities between all the engagements and brands I’ve worked with is Microsoft Excel as the delivery of insight.
Funnel analysis is something that is essential to business and conversion rate optimisation. However, it’s rarely done right and then the results are included in dashboard reports.
Recently in the UK press there has been a lot mentioned about how websites are testing their users. Facebook and an online dating site are the ones which received press via BBC News. However, I am questioning why did it get press? Websites are living breathing organisms in my mind. Things are constantly changing to ensure better conversion rates, better engagement and ultimately more profit to the company.