Google Analytics shows 104 conversions. Your CRM shows 123 new leads. Heap reports 97. And so on.
It’s easy to get frustrated by data discrepancies. Which source do you trust? How much variance is okay? (Dan McGaw suggests 5%.)
For most companies, Google Analytics is a—often the—primary source of analytics data. Getting its numbers aligned with other tools in your martech stack keeps results credible and blood pressure manageable.
Optimizing the sign-up flow is a never-ending saga for SaaS companies, for whom it’s mission-critical to acquire and activate users as quickly as possible.
When it comes to online imagery, it’s not so much about having images as making sure those images 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 and ratings”:
About two years ago, I wrote an article on using Google Tag Manager (GTM) to personalize your website. Even then, people asked why I wouldn’t just use Google Optimize. At the time, the answer was simple: Personalization was part of Google’s six-figure paid solution.
However, in November 2018, Google released the functionality to all users. Since then, Google Optimize has become a primary platform to initiate personalized experiences. But GTM is still critical to overcome its enduring limitations.
There’s a philosophical statistics debate in the A/B testing world: Bayesian vs. Frequentist.
This is not a new debate. Thomas Bayes wrote “An Essay towards solving a Problem in the Doctrine of Chances” in 1763, and it’s been an academic argument ever since.
When should you use multivariate testing, and when is A/B/n testing best?
The answer is both simple and complex.
We’re all familiar with the standard “best practices” of CRO. Always use social proof, always reduce form fields, never use image sliders, and so on.
As someone who believes that best practices are merely common practices, I’m always looking to test the tried and true to see how, well, true it really is.
First up? Social proof. Does it really work as well as we all assume? Why? And more importantly, what’s the best way to implement it?
You often read that most people prefer to watch a video than read text.
How true is that statement, really? You’ve been hearing about video for years now. Big brands are spending tens of thousands on videos that fall flat, while a lucky few are going viral.
But even they struggle to repeat their original success. And what do views have to do with actual money in the bank?
There’s no denying that your homepage is vital to your site, especially if you’re a SaaS company. It’s likely one of your most visited pages, acting as a proverbial launch pad.
While you read about optimizing individual landing pages day in and day out, optimizing homepages is less frequently explored. Do the same old rules from 2010 still apply? Are people still visiting and using homepages they same way they were a decade ago?
Several years ago, Jeremy Smith wrote, “Traditional optimization is dead, and in its place is arising a brave new world of mobile conversion optimization.”
I have to disagree. Is mobile conversion optimization a “brave new world”? Yes. Is traditional optimization “dead”? Not by a long shot.
Traditional (i.e. web) optimization and mobile optimization are two separate practices, requiring two separate strategies. One is not replacing the other. Instead, optimizers must learn to master both.