Session replays are a common conversion research technique. And they can provide a lot of value.
Still, the process is amorphous. I haven’t seen a structured way to approach session recordings other than just sitting down to watch a bunch of them and inferring your qualitative findings, somehow lopping them into the rest of your research stack.
It seems all technology is getting smaller and more efficient. It’s certainly true for computers, as smartphones are progressively overtaking their larger counterparts.
According to Dazeinfo research, there were about 1.13 billion smartphone users in 2012. This number increased by 27.1% in 2013 to 1.43 billion, and by 2017, nearly half of global mobile users are likely to own a smartphone.
Band-aiding a mobile experience is no longer a possible solution, as 70% of mobile searches lead to action on a website within 1 hour of searching.
That’s the sound of potential customers leaking out of your sales funnel.
Another customer gone.
After fighting tooth-and-nail to launch your SaaS business, the last thing you want is a leaky sales funnel to undermine all your hard work. Because even a small leak can snowball into a gushing cascade of leads, leaving your business bone-dry.
Google might be the holy grail of analytics, and there’s little question that you need it plugged in if you want to track your website’s success. But that doesn’t mean Google Analytics is telling you the full story.
In fact, your analytics could be telling you outright lies.
Most changes have happened as a result of the transition from PC computing to mobile. Mobile is still a new space for analytics. Things are happening quickly, and everyone’s looking for the newer, better, and faster solution.
How do people view search results? The answer to this questions brings great insight to those trying to make money on search marketing, whether SEO or PPC. We conducted a new eye tracking study to find out.
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.
I’ve run into organizations that don’t know how to effectively create, participate, manage or lead analysts and often believe that “data science” or the latest technology will save the day, not the team of people with different skill sets working cross-functionally to make systematic improvements.
Have you ever dreamed about learning which products your customers are most likely to buy in advance?
How great would it be if you could determine the highest price a customer would pay for a product? What if you could optimize customer service to resolve concerns proactively before they become issues?