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.
Bernard Marr has written a very interesting piece on Forbes.com. He surmises that self service analytics (the act of giving analytics access to non analyst but business users – e.g. marketing managers) has it’s place but, should be as a back up or verification. Continue reading Is Self-Service Analytics really the way to go forward
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.
Continue reading Cart Abandonment – Are you looking at the right 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
|| 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.
Numberminds is always willing to help so ping us an email and let us know what you need.
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.
Continue reading Google Analytics Dashboard Magic
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.
Continue reading Funnel analysis – using web analytics for effective measurement
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.
Continue reading Testing Websites on Users
Bounce rate is a key metric for anyone studying web analytics. It allows you to understand what pages are causing people to leave your site. Or is it? If people come to your site to read a blog post and then leave does that necessarily mean that the website failed? If the customer lands on a marketing landing page and then doesn’t engage further with the campaign (at that time) does that mean the website failed?
There is so much supposition in any metric that its key for any web analytics (or management information professional) to be able to explain and add context.
Continue reading Bounce Rates – Understanding what it is telling you
You always come across interesting things when you browse your blogs or the internet in general. Today’s ‘feature of the day’ for me is an article from “MarketWatch” who are talking about Google and Tableau (a leader in enterprise data visualiation) combining forces.
Now the article doesn’t list Google Analytics however, that doesn’t really matter because Tableau already has a Google Analytics plugin.
Continue reading Tableau and Google Merge Forces in Data Visualisation
This is a question that I seem to be asked an awful lot. I am told that we have accountants for the numbers, analysts for the sales figures and web analysts for the websites but, where in the mix does the information come together? One single report? I don’t think so!
Continue reading Why Measure?