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is thoughtfully curated or crafted by a human, for a human. We spend hundreds of hours every month speaking to experts with decades of experience. Our blogs are more a journalistic report on the state of experimentation than a single perspective article. Enjoy!
Did you know that 56% of marketers consider lack of Martech integration a hindrance to marketing success? Integrations make Martech and, by extension, marketing operations run like a well-oiled machine. Marketers use a host of applications that need to connect to one another. Data from one application can inform processes...
Don’t ignore your A/B testing tools. They’re too critical for your business to dismiss as just another Martech product in your tech stack. How you allocate marketing budget, the amount of traffic your site gets, the size of your operating overhead, and the possibility of getting slapped with a 20-million-euro...
Setting up an optimization program that impacts your business’s bottom line, reduces churn and improves user experience requires a great A/B testing tool. After careful research, you finally choose an A/B testing tool that fits into your stack and meets your experimentation needs. But before you dive into optimization, you...
Client-side and server-side testing differ mainly in where the variation is decided. Client-side testing makes that decision in the browser. It suits copy, design, layout, and other front-end changes. Server-side testing makes the decision in your application. It reaches backend logic, algorithms, recommendations, pricing, and other product behavior. Convert Experiences...
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 with...
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 for...
