Announcing Free Experimentation and Targeted Rollouts for Developers and Product Teams

Announcing Free Experimentation and Targeted Rollouts for Developers and Product Teams

Last year, we launched Optimizely Rollouts, a free feature flagging solution to help development teams ship products faster, safer, and with more control.  We’ve seen thousands of teams create feature flags with Rollouts across websites, mobile apps, and backend experiences.  However, we believe that smarter software delivery isn’t just about reducing risk, it’s also about […]

Learning From the Best at Opticon18: Stefan Thomke, James McCormick, Michael Phelps + More

Learning From the Best at Opticon18: Stefan Thomke, James McCormick, Michael Phelps + More

Join us in Las Vegas from September 11-13 for Opticon18, three days packed with educational sessions, actionable takeaways, and inspiring keynote and main stage speakers. Opticon18 is the number one conference focused on pushing the boundaries of digital experience optimization. We’re kicking off Opticon18 with the “Optimizely Welcome Keynote: Architects of the Digital Future” where […]

Experimenting with Engagement Metrics at the BBC

Experimenting with Engagement Metrics at the BBC

This post originally appeared on the BBC Data Science Blog. When speaking of optimization, most of us will think about increasing conversions and revenue in e-commerce, otherwise known as CRO (conversion rate optimization). More and more though, media and services brands are using experimentation as a means for increasing customer engagement and fostering loyalty; focusing […]

4 Steps for Creating a Problem-Centric Split Test Hypothesis

4 Steps for Creating a Problem-Centric Split Test Hypothesis

Hypotheses are the statements that clarify our thinking leading up to a test. They make a clear prediction about how changes in customer experiences will impact a given goal. They provide a rationale for why customers might react positively or negatively to that change.

But even with standard hypothesis best practices, there are opportunities to elevate your testing, align your hypothesis with challenges that are core to your business, and increase the odds of producing a positive result. It starts with identifying problems.

The Role of A/B Testing in Lead Nurturing

The Role of A/B Testing in Lead Nurturing

Lead nurturing sounds simple, right? Set up an email drip campaign that gives new prospects more detail about what products you offer and what problems you solve. Done. And as you get more complex, scale it up.

But like any machine, lead nurturing has to be constantly tuned and tested. A/B testing is an ideal tool for this. So how do you best take advantage of A/B testing to build great lead nurturing?

Headline A/B Testing to Boost Ad Impressions: A Case Study from Ringier

Headline A/B Testing to Boost Ad Impressions: A Case Study from Ringier

Blick, the leading online and print tabloid in Switzerland, has boldly ventured into unchartered territory for most in the media industry: editorial A/B testing. By experimenting with headlines and teaser images, Blick’s editorial team is able to better understand what readers are most interested in, in real time.

How Discovery Increased Ad Viewability & CTR Through A/B Testing

How Discovery Increased Ad Viewability & CTR Through A/B Testing

Discovery Communications is a global mass media and entertainment company with an astonishing portfolio of television networks, including the Discovery Channel, Animal Planet, TLC, the Oprah Winfrey Network, and Science Channel. It has 2.9 billion global subscribers, a reach that totals 2 in 5 people on the planet.

The product team at Discovery Communications is driven by testing; they’re constantly iterating on their user experience to improve both content engagement and their display ad metrics.

3 Tips on Mastering Mobile App A/B Testing


3 Tips on Mastering Mobile App A/B Testing

One of the tools app developers and mobile product managers are increasingly adding to their toolkits is A/B testing. Having a discipline around A/B testing enables mobile app makers to deliver engaging, high-ROI experiences by optimizing elements like signup flows, checkout funnels, and navigational elements, to name a few.

Here are three simple yet effective tips for those just getting started with mobile A/B testing from the mobile product managers who own testing at Pinterest, CheapOAir, What to Expect, and Credit Sesame.

5 Onboarding Techniques to Convert Trials into Paying Customers

5 Onboarding Techniques to Convert Trials into Paying Customers

If the sign-up rate for your product’s free trial is high, then you’re doing something right. It’s a great sign if people are willing to take time and give up some information to try out your software for a few weeks.

But are they really trying it? Are they making full use of the trial or just taking a quick glance and disappearing?

Benchmark data says 80% of your free trial users are doing just that — fading away never to become a paying customer.

The truth is that turning free trial users into paying customers is just as important as getting people to try your product. These are five examples of email marketing and A/B testing strategies that can improve your company’s free trial to paying customer conversion rates.