This is the final post in our Product Experimentation Pitfalls blog series, written by Optimizely’s Director of Product Management, Jon Noronha. See here for more information on this 5-part series. So far in this series, I’ve highlighted several pitfalls on the path to product experimentation. We’ve seen how some common mistakes can slow down […]
This is the fourth post in our Product Experimentation Pitfalls blog series written by Optimizely’s Director of Product Management, Jon Noronha. See here for more information on this 5-part series. So far in this series, we’ve talked about the hidden challenges that can stop experimentation from getting off the ground, like getting tricked by statistics, or choosing […]
This is the third post in our Product Experimentation Pitfalls blog series written by Optimizely’s Director of Product Management, Jon Noronha. See here for more information on this 5-part series. Analyzing an A/B test is deceptively simple. You count up how many conversions happened in each variation, you divide by the number of users exposed […]
This is the second post in our Product Experimentation Pitfalls blog series written by Optimizely’s Director of Product Management, Jon Noronha. See here for more information on this 5-part series. An experiment is like a metal detector. When there’s valuable treasure close to the surface, it’s an incredible tool that can lead you straight to the gold. […]
This is the first post in our Product Experimentation Pitfalls blog series written by Optimizely’s Director of Product Management, Jon Noronha. See here for more information on this 5-part series. Highlights: Measuring experiment results is relatively straightforward when you are driving toward a simple goal such as conversion. When product teams optimize for long-term or […]
If you’ve ever had to forecast a deadline for a software project, you’ll be all too familiar with Hofstadter’s Law: It always takes longer than you expect, even when you take into account Hofstadter’s Law. So it’s no surprise that every product development team wants to be more “agile.” To the naive CTO, “agile” is just […]
When most people think of Optimizely, they picture a visual user interface: filling in forms to create experiments, dragging and dropping content to make variations, and clicking on buttons to track conversions. This visual interface is a great way to get started with experimentation, but what many users don’t realize is that it’s just scratching […]
Today, we’re taking a major step in making personalization accessible to every business by announcing the general availability of Optimizely Personalization. We’ve taken the nebulous concept of personalization and broken it down into something that any business can get value from. We’ve built a solution that integrates each aspect of personalization in one seamless workflow. We believe our new product will do for personalization what we did for A/B testing: unlock the potential of an emerging innovative practice and make it accessible to companies of all sizes.
The premiere event for the retail industry, Shop.org is just around the corner. If you are one of the 5,400 professionals attending this year, be prepared to embrace a lot of chatter and excitement around personalization, the lucrative practice of dynamically tailoring content and experiences to the wants and needs of your customers.
Here are 7 tips to help you translate what you know about your shoppers into revenue and long-term customer satisfaction.
