A/B Testing
When an optimization agency researched how A/B testing tools impacted a website’s speed, it found lags. While most seemed perceptible to the end users, a few posed potent threats to a website’s user experience (at ~ 4 seconds!). We, too, participated in the analysis — competing head to head...
A/B Testing
When experiments target the right audiences, they get better and more conclusive results. For Ken Hanson, a Convert Experiences user, audience targeting didn’t just get better results, but 50 percent better results. Here’s what happened… Hanson wanted his users to leave reviews for their apartments. He hypothesized an experiment...
A/B Testing
Changing a core part of your marketing stack is never easy. Balancing product features, pricing, and great customer service makes choosing a new A/B testing tool challenging. The push to change tools may come from outgrowing your plan on your current tool, but upgrading will cost an arm and...
A/B Testing
In our recent analysis of 28,304 experiments run by Convert customers, we found that only 20% of experiments reach the 95% statistical significance level. Econsultancy discovered a similar trend in its 2018 optimization report. Two-thirds of its respondents see a “clear and statistically significant winner” in only 30% or...
A/B Testing
The A/B testing landscape changes fast. Everything — right from what goes into the testing mix to the process of testing and the technology powering it — has a tendency to evolve rapidly. You’d recall how just a few years ago, concepts like personalization, advanced server-side testing, testing via...
A/B Testing
Artificial Intelligence! AI is the stuff of myths and sci-fi. Whenever AI is depicted on screen, it is presented as this uber efficient, omniscient entity that can predict the future, alter the present and plot against humanity with consummate skill. The real state of Artificial Intelligence is drastically different....