Imagine this scenario. A couple of years ago you invested in a testing tool and start running simple A/B tests on your website.
Thanks for joining us on this four-part series designed to tell you everything you need to know when considering mobile web or native app experimentation. So far, we’ve gone over the top mobile stats that illustrate how mobile-obsessed consumers are, we’ve outlined the primary differences between native app and mobile web, and we shared what you need to know about native apps. In this post, our concluding piece, we’ll dive into mobile web and how experimentation fits.
Thanks for joining us on this four-part series designed to tell you everything you need to know when considering mobile web or native app experimentation. So far, we’ve gone over the top mobile stats that illustrate how mobile-obsessed consumers are and we’ve outlined the primary differences between native app and mobile web. In this post, we’ll build on that foundation with more detail and we’ll go over how experimentation works on native apps. (Psst: We’re including some tips from the pros at the end, so don’t miss them!)
The fuel driving mobile’s relentless growth is primarily app usage, which alone makes up a majority of total digital engagement at 52 percent, according to comScore’s “U.S. Mobile App Report.” But confusion still exists within the industry. For nearly a decade consumers have jumbled native apps and mobile web by bundling them into the all encompassing “mobile.”
Thinking of trying AMP? We’re not talking about the energy drink.
It’s a mobile-first world. If your company is not embracing mobile technology, you’re missing opportunities, and that means revenue. But leveraging mobile technologies is more complicated than it seems, especially when you need to improve users’ experiences, increase consumer loyalty, enhance engagement, make employees more productive and boost revenue.
Testing tools are not all created equal. Here, we break down the WYSIWYG and share a guide to the pros, cons and perfect time to implement them.
We didn’t listen to Willie Nelson, but we did gather a team, plan a road trip and head to the West Coast for two leading industry conferences.
This is the first of a three-part, weekly blog series, which shares optimization best practices for test sample size, desired significance, power, and Minimum Detectable Lift (MDL).
Technology and evolving consumer behaviors are transforming the way people evaluate products and services to the way they pay for the things they buy. As optimization experts, Brooks Bell knows testing is the most effective and reliable way for merchants to determine which marketing strategy – from a specific promotion or targeted message to a unique website element such as a Call to Action (CTA) – will produce the highest Return on Investment (ROI).