
AI and Personalization Can Close the Empathy Gap
The proliferation of AI has elevated customers’ digital expectations, though advancements in personalization are empowering brands to better listen, identify needs, and respond with empathy.
The proliferation of AI has elevated customers’ digital expectations, though advancements in personalization are empowering brands to better listen, identify needs, and respond with empathy.
While machines master the mundane, humans orchestrate the unusual.
While reflective of two distinct approaches to improving the user experience, their combination can offer exponential benefits businesses don’t want to miss out on.
Keep site performance top of mind when personalizing with Dynamic Yield, which has made significant investments in script enhancements and optimization tools for clients.
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.
We’ve aggregated data from 200M+ monthly unique users over 300M+ total sessions for our new, industry benchmark tool.
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.
Make sense of various eCommerce product recommendation strategies and how to effectively use them to maximize marketing ROI.
A beginner’s guide to product recommender systems, the strategies behind them, and examples of strategies used by today’s leading digital brands.
Using merchandising rules, marketers can adapt product recommendations strategies to their desired objectives, tapping their expertise to improve consumer experiences.
Providing marketing inspiration through a comprehensive collection of personalization use cases deployed by real brands across the Dynamic Yield customer-base.
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.
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.