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. Read post
Confirmation emails may be the least developed customer touchpoint. These standard, expected emails are often as delightful as your typical in-store receipt (read: not at all delightful). Because confirmation emails are triggered by the user’s actions, your customers are expecting something – which means they open, notice and engage with them. Read post
As of next week, I, Tommy Walker, will be leaving my post as editor of ConversionXL.
I’ve learned so much in this past year, and I owe so much to this blog. If you’ll allow, I’d like to share the 6 major lessons I’ve learned as the editor of this blog. Read post
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.
Watching the growth of digital analytics over the last several years has been both exciting and disturbing.
It’s been exciting because what was a once niche-activity has evolved into a serious, business-focused enterprise activity.
Disturbing, because many people & organizations want to compete on analytics, but are not doing the right things or adopting the right thinking about analytics.
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”: Read post
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?