March is here and people around the country are preparing to fill out tournament brackets in anticipation. In addition to taking over the watercooler for a month, the NCAA Tournament famously contributes to a huge dip in productivity. This year it’s projected to cost as much as $6.3 billion as otherwise faithful employees engage in a bit of shirking to catch games. But the month of crazy college basketball isn’t just fun and games. There’s a lot to learn by digging into some basketball data, too.
It’s that time of the year again…a time for reflections and setting goals for yourself personally and professionally. While we’re still struggling with our goals to workout daily and eat better, we did take a look back at lessons learned from 2017, and what we’re anticipating for the world of testing in 2018.
What do Will Ferrell, Chad Smith and Aaron Baker have in common?
We didn’t listen to Willie Nelson, but we did gather a team, plan a road trip and head to the West Coast for two leading industry conferences.
Couldn’t make it to The Personalization Summit in Boston last week? Read on for my takeaways and insights from Evergage’s event. This year’s theme? To demystify machine learning.
Brooks Bell is excited to announce that our experts are partnering with the experts at Evergage, a cutting-edge personalization platform! Read on to see why we’ve chosen this strategic partnership and what Evergage has to offer.
Now you know how to Predetermine Your Test Sample Size and How to Reach Statistical Significance & Power within Your Experimentation Programs. Our final blog concludes the series and will expand your understanding of how to use Minimum Detectable Lift, or Minimum Detectable Effect for optimum test design and results.
Economists predict e-Commerce sales will range from $427 – $443 billion in 2017, a growth rate of three times higher (8-12 percent) than the entire retail industry. This upward trend will continue. In fact, Business Intelligence forecasts consumers will spend $632 billion in 2020.
This is the second of a three-part blog series. If you missed the first post, “Using Fixed Time Horizon to Generate Credible Optimization Results,” read it here. The final blog, “How to Understand Minimum Deductible Lift,” will be published next week.
Enterprise businesses continue adopting the concept of data-informed decision-making. They are shifting their organizational cultures to those where more and more decisions are based on facts and insights. At the same time, optimization continues growing in popularity among top brands and is essential for business success in today’s digital world.
This is the first of a three-part, weekly blog series, which shares optimization best practices for test sample size, desired significance, power, and Minimum Detectable Lift (MDL).
Technology and evolving consumer behaviors are transforming the way people evaluate products and services to the way they pay for the things they buy. As optimization experts, Brooks Bell knows testing is the most effective and reliable way for merchants to determine which marketing strategy – from a specific promotion or targeted message to a unique website element such as a Call to Action (CTA) – will produce the highest Return on Investment (ROI).