To increase email open and clickthrough rates (CTRs), what's the best way to personalize an email subject line? Especially on a small-screened mobile device? Turns out there's a trick you might not have realized. Can you guess what that trick is and figure out the right answer to this powerful personalization A/B test.
To increase email open rates, does a personalized approach really work best? Take your best guess on this perfect personalization test to find out.
To increase purchases of faster, but more costly internet plan, how should you structure your pricing table? Should you use a creative visual indicator to showcase the plan features? Or should you concretely state the plan categories using text? Take your best guess on this interesting internet study, see if you win, and apply the insights to increase conversion on your own pricing table.
Soon, third-party cookies will be blocked by most major web browsers leaving optimizers and experimenters desperately picking up the crumbled pieces. In A/B testing, there will be no easy way to track user events or behaviors -- let alone measure conversions. What's going to happen to A/B testing in a cookieless world?
Find out exactly how and where to use trust badges for conversions. Get A/B test ideas you can immediately try and apply. Plus, find out the surprising places in the funnel where trust badges convert best, the unusual trust format that consistently converts, and facts that will change the way you think about trust badges.
With GA4 inline to replace Google's current Universal Analytics (UA) platform, optimizers have been left with more questions than answers. Marketing analytics expert, "Mercer" of www.MeaasurementMarketing.io provides the answers you need while addressing the top three reasons you need to starting using GA4 now. This video interview is specifically meant for A/B testers using Google Analytics.
It may seem like a small change, but optimizing your navigational menu can have a big impact on conversions. This article provides you with do's, don'ts, and the top-10 navigational bar A/B test ideas you absolutely must try to easily increase conversions on your site.
It's seems there's no good system for planning and prioritizing which A/B tests to run. Keeping track of which tests you've run, plan to run, or are currently running is an even bigger challenge. That is until now. Check out this short video to get an inside view into how Speero plans and prioritizes their tests. Then apply the insights to optimize your own test planning and prioritization process.
Calculating and verifying if your test has an SRM issue is key to obtaining trustworthy test results. This short article outlines the in's and out's of SRM, describes what it is, why you need to be looking at it when testing, and how to correct for it, if an SRM issue occurs.
Calculating the Minimum Detectable Effect (MDE) can feel like a hair-pulling, speculative exercise. Luckily, this step-by-step guide is here to show you exactly how to accurately calculate your MDE to yield powerful, trustworthy test results.
Low sample testing is problematic and can result in hugely mis-leading data where tests appear to be enormous winners but, in actuality, aren't. This article presents a practical 5-step approach to overcome the traps of low sample testing and arrive at valid, trustworthy results. What are the 5-steps? Find out here.
Understanding and calculating statistical significance is quite complex. Many experimenters don’t truly know what statistical significance is or how to derive a statistically significant test result. To properly call a winning (or losing) A/B test, it’s really important to clearly understand what a statistically significant result is and means. This article, written in plain English is here to set it all straight for you.