Looking back on 2014, the Dynamic Yield blog has experienced a fantastic year. With dozens of posts, thousands of unique visitors, hundreds of daily social interactions and newsletter signups, we put together the annual list of the top ten posts of the year. These are the winners from the very beginning of 2014, reflecting our audience’s hunger for website personalization knowledge, data analysis, conversion optimization, dynamic website experiments and automation.
Jul 20, 2014, posted by Idan Michaeli
Revealing Idan’s own personal experience in the trenches of data science in a high-tech internet startup, discussing the key differences between academic scholarship and startup business culture.
Jul 1, 2014, posted by Yaniv Navot
The second part of the Google Analytics data accuracy auditing series, discussing the importance of stepping back and making sure the data is as accurate and reliable as possible.
Jun 9, 2014, posted by Idan Michaeli
Delve deeper into the mechanics of a statistically valid A/B test, and understand the true meaning of statistical significance. Learn how to avoid common A/B testing pitfalls.
May 19, 2014, posted by Yaniv Navot
Read about Google’s official SEO advice on A/B or multivariate testing, and how to minimize the possible impact of A/B testing on SEO.
Aug 13, 2014, posted by Yaniv Navot
Why we think that the magic of most A/B test case studies relies heavily on obscurity, and the list of reasons why you shouldn’t blindly follow case studies without being a skeptical marketer.
Jun 2, 2014, posted by Yaniv Navot
Some of the most interesting marketing statistics on website personalization every marketer should read, fitting the age of digital optimization and dynamic content delivery.
Jun 24, 2014, posted by Yaniv Navot
To become fully data-driven professionals capable of testing, optimizing and personalizing web properties, we need to create a solid foundation for a data-driven decision making environment.
Sep 11, 2014, posted by Idan Michaeli
The ultimate goal of every A/B experiment is, of course, to increase revenue. Why then aren’t the vast majority of tests attempting to directly optimize revenue?
Jul 31, 2014, posted by Yaniv Navot
While there’s no one perfect landing page creation process to fit all use cases, there are four fundamental steps to follow when designing a new landing page campaign.
Sep 22, 2014, posted by Yaniv Navot
Suggesting a simple, yet effective, 4-step model for building a successful and powerful conversion optimization plan.
As 2014 draws to a close, we look forward to an even more exciting year as personalization and conversion optimization become central to every e-commerce and digital publishing operation.