Best practices are starting points: If you have no data, start with these. They are not what you should end up with, but they’re often where optimization begins. That’s an important distinction.
This post applies Jakob Nielson’s 10 Usability Heuristics to B2B websites that focus on lead generation (as well as “high consideration” B2C sites that lack any transactional functionality).
A few months ago, I took my family to Dinosaur National Monument in Utah. We saw some pretty cool fossilized dinosaur bones as well as ancient petroglyphs and pictographs. There was, however, one stop that disappointed us.
“How do I come up with a unique value proposition? What I sell isn’t unique.”
If you’re working on improving your business, you know there’s no shortage of information about why you need a unique value proposition.
You’ve probably even seen a handful of solid examples, but when you go to write your own, you hit a wall.
You’ve got too many competitors, they’re selling the same stuff, and it looks like all the good value propositions are taken.
What can you do? What should you differentiation strategy be?
Usability testing is one of the most effective ways to uncover issues that users have on your website or app. It works whether you’re a behemoth with millions of users or a startup that’s just left the proverbial garage.
The problem is that usability testing takes time—time to recruit participants, moderate and watch videos, and compile results.
A customer retention strategy is an approach to keep your customers interested, engaged, and loyal to your brand. Its aim is to maximize the lifetime value of each customer and keep as many repeat customers as possible.
Testing tools are getting more sophisticated. Blogs are brimming with “inspiring” case studies. Experimentation is becoming more and more common for marketers. Statistical know-how, however, lags behind.
This post is filled with clear explanations of A/B testing statistics from top CRO experts. A/B testing statistics aren’t that complicated—but they are that essential to running tests correctly.
Here’s what we’ll cover (feel free to jump ahead):
And just in case you’re uncertain about why A/B testing statistics are so essential…
Let’s talk about a collective marketing pain: Pretty much everyone’s mobile conversions suck.
What does it take to grow a YouTube channel? Is a channel more than the sum of its video parts? Or will a strategy that focuses on videos alone increase subscribers?
In my experience, I find that teams and organizations report many winning A/B tests with high uplifts, but somehow they don’t seem to bring those uplifts in reality. How come?
Google Analytics Intelligence has an alluring promise—that you can skip the manual digging and get quick answers. But will you actually get the data you want?