A/B testing tools like Optimizely or VWO make testing easy, and that’s about it. They’re tools to run tests, and not exactly designed for post-test analysis. Most testing tools have gotten better at it over the years, but still lack what you can do with Google Analytics – which is like everything. Keep reading »
As more and more people start to look to testing and conversion optimization as a consistent and meaningful tool for their marketing and other initiatives it is important that people start to realize that optimization as a discipline is not just a false add-on to existing work. Testing when done correctly can and should be by far the number one driver of revenue for your entire site and organization, and yet according to 3 of the major tools on the market the average testing program only sees 14% of their tests succeed. Keep reading »
Your conversion rate is not what it could be – and you know you need to do something about it. Should you redesign the whole website? Maybe. Probably not though. It depends. But if you are going to do it, you need to tread very lightly. Website redesigns only work if they are carefully managed and data-driven. Keep reading »
When marketers think of using data to come up with test hypotheses, they typically think of digital analytics. Quantifiable data. But qualitative research can actually offer more insight than anything else for coming up with winning test hypotheses. When quantitative stuff tells you what, where and how much, then qualitative tells you ‘why’. The goal of qualitative research is to gather an in-depth understanding of user behavior, and the reasons for that behavior. Keep reading »
Some of you out there may find this Google Analytics feature overview to be mostly review. That’s awesome! That means you’re really taking ownership of your data. However, if you’ve never used any of these features, only experimented with them a little, or aren’t sure you’re using them correctly, you should read on.
83% of clients were comfortable providing a referral, yet only 29% of clients actually gave one.
That’s was what Advisor Impact found in 2010 when they surveyed more than 1,000 financial service clients to understand how customer satisfaction & loyalty was translating into new client referrals.
When it comes to online imagery, it’s not so much about having images, as it is about making sure those images to give the visitor a sense of texture, size, scale, detail, context & brand.
According to MDG Advertising, 67% of online shoppers rated high quality images as being “very important” to their purchase decision, which was slightly more than “product specific information”, “long descriptions”, and “reviews & ratings”: Keep reading »
Knowing where to segment your Google Analytics data can be daunting. Where do you start? And how the Hell are you supposed to know if what you’re looking at is going to make any difference what-so-ever?
A very common scenario: a business runs tens and tens of A/B tests over the course of a year, and many of them “win”. Some tests get you 25% uplift in revenue, or even higher. Yet – when you roll out the change, the revenue does not increase 25%. And 12 months after running all those tests, the conversion rate is still pretty much the same. How come? Keep reading »
Normally, I dig into massive amounts of data, but today, I think we should talk about something that’s a little bit more subjective & open to interpretation – design.
Specifically, your design’s first impression, how long it takes to make that impression, and whether or not that impression is communicating the right things (or anything for that matter) about your brand. Keep reading »