After spending nearly a decade developing the most powerful recommendation engine in the market, take a look at an overview of the current recommendation capabilities available to Dynamic Yield customers.
Are machines inherently superior at decision-making than humans? Discover how the different methods for achieving relevance aren’t mutually exclusive.
RFP writing can be a daunting and involved process. This is why we decided to provide you with a free RFP Template for Personalization and Experience Optimization platforms to help you select the vendor best suited to execute on your digital customer experience vision.
A high-level overview of the Chrome version 80 SameSite update, and how Dynamic Yield has adjusted its cookie settings according to the new requirements.
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.
The majority of revenue is now generated by a tiny percentage of users. By identifying and nurturing these valuable customers, brands can gain a sharper perspective on how to improve the overall shopping experience.
Unified Customer Profile APIs allow brands to programmatically access user-level insights from various channels and serve highly-targeted interactions.
A subset of strategies readily-available and specifically designed to help finance brands improve customer acquisition, conversions, and long-term loyalty.
As champions of digital transformation, we set out to rebrand Dynamic Yield, from content to design, development, all the way to product marketing.
A breakdown of the main motivators driving both sides of the argument, our own experiment(s), and the other options available when it comes to lead nurturing.
Community is a collaborative space where experts of Dynamic Yield can come to document, learn, and connect with one another.
One of the biggest mistakes a company makes when A/B testing is selecting an average audience. Instead, they should be making segmentation an essential part of their test design — here’s how.
Most email software is designed to mislead and skew your results. In this post, we’ll cover why that is and the right way to think about email A/B testing.
Leverage dozens of high-impact personalization templates and move experiences from in the queue to live when you need them, without hassle.
Learn what to do when your A/B testing routine starts to feel stale and you’re struggling to identify ideas for new experiments and CRO campaigns. Here are six proven ways to get great results.
How multivariate tests render impractical insights and what other solutions you can run for more optimal results.
How businesses can use anonymous visitor tracking to identify the intent and preferences of “unknown users” in order to personalize experiences that drive action.
We’re excited to announce the official release of two free and useful tools. Our Bayesian A/B Testing Calculator and Test Duration/Sample Size Calculator.
An interview with analytics and optimization expert Nikolay Gradinarov on the challenge of scaling your analytics and optimization across the entire user journey.
Learn how to choose the right traffic allocation method for your A/B tests and avoid common pitfalls, ensuring impactful, valid results.
