As we discussed in the first installment of the Move story, Investing in Optimization – The First Steps Towards Building a Team, a key component of the success of the optimization program was their ability to communicate. For the core team, this enabled them to seamlessly do cross-functional work, remove blockers, and execute their experiments at a rapid pace.
In this post, we’ll talk about why communication was an essential for another part of the company’s testing culture: setting and communicating a primary goal to raise awareness and understanding of optimization internally.
Suma Warrier is an optimization veteran. Over the past 10 years, her digital marketing career has focused on building and scaling optimization programs at the likes of Symantec, Sephora, and most recently Move, Inc. (operator of Realtor.com), a News Corp company.
Her latest challenge? Building an optimization program from the ground up, and enabling her organization to unlock the power of rapid testing while working towards an aggressive revenue goal. In this series of three posts, we’ll cover how she approached team structure and process, how the team set goals, and examples of experiments her team has run.
In 2014, Suma and her team ramped up ideation, prioritization, execution and analysis of Realtor.com’s tests. In this post, we’ll cover how the team is structured, the importance of their cross-functional stakeholders, and the agile processes they adopted to ensure a smoothly running optimization program.
Prioritization is a critical skill to master when building out a testing program. It’s about making smart choices and applying discipline to the decision-making process.
In my experience helping companies build their test programs from scratch, as well as optimizing more mature programs, I’ve seen the benefits of adopting a rigorous prioritization scheme time and time again. Based on experience working with Optimizely customers, here are three crucial key steps to follow when bringing prioritization into your optimization strategy.
Imagine you set out on a road trip. You packed the car, made a playlist, and set out to drive 600 miles—but you don’t actually know where you’re headed. When you arrive at a destination, and it’s not at all what you imagined it would be.
Running an experiment without a hypothesis is like starting a road trip just for the sake of driving, without thinking about where you’re headed and why. You’ll inevitably end up somewhere, but there’s a chance you might not have gained anything from the experience.
In this post, we’ll show you how to craft great hypotheses, how they fit into your experiment planning, and what differentiates a strong hypothesis from a weak one.
When I’m not running experiments on Optimizely’s conversion funnels, I love to interact with the optimization community. GrowthHackers has one of the best communities out there and last week I hosted an Ask Me Anything (AMA). The questions were very high quality and covered topics like running multiple tests at the same time, how to overcome technical hurdles, how multi-armed bandits can be helpful, what to do with inconclusive tests, and more.
If this piques your interest, have a read through the questions and, of course, continue to ask me anything.
Brooke Beach has a challenge common amongst many: producing a lot of content with limited resources without sacrificing quality.
Her marketing team has come up with a system that combines data from website analytics, marketing automation, and live chat to help create the right content for the right audiences. Intrigued as to how live chat contributes to this optimization equation, I talked to Brooke about how they go about it, and the impact it’s had on the business.
On November 18th, 2014, we publicly released Optimizely’s iOS editor. Before we launched, there was one problem the whole team rallied behind to fix: we weren’t proud of the product. To fix this issue, we went beyond a Minimum Viable Product (MVP) to an MVPP—the Minimum Viable Product we’re Proud of.
This is the story of how we pulled this off, what we learned along the way, and product development tips to help you ship great products, from the perspective of someone who just did it.
From conversations with our customers, we’ve learned that some folks who do A/B testing also have day-to-day responsibilities ranging from SEO to front end development to content marketing. But, it’s apparent that the folks who do conversion optimization have one thing in common: an obsession with growth. Their work directly contributes to company growth and impacts wins and fails. In essence, everyone who practices A/B testing and optimization is a Growth Marketer.
We’re curious about what it means to be a Growth Marketer… So we’re asking you.