Posts by Paul Bernier

Paul Bernier

Paul Bernier

Paul Bernier is Vice President of Product Management at SiteSpect. He has a background in website optimization, recommendations, and development, as well as web analytics. He is based in Boston.

A map with numbers overlaid on different regions indicating varying consumer trends in retail CRO.

2025 H2 Consumer Trends: What Retail CRO Teams Should Prepare For

By Paul Bernier · July 1, 2025

U.S. e-commerce sales accounted for $352.93 billion in the final quarter of 2024, a jump of almost 25% from the year prior. Right now, the retail space is expanding fast…

A loading screen on a website page at 19%, indicating a web experience that is not flicker-free or without anti-flicker snippets.

Are You Really Flicker-Free or just “Fake” Flicker-Free?

By Paul Bernier · May 28, 2025

You might think your A/B testing platform is flicker-free. But is it really? While many platforms claim to be flicker-free, the truth is that some of them are just masking…

A professional on a laptop with overlays implying CRO metrics with charts, graphs, and targets.

CRO Metrics That Matter: How to Measure and Prove ROI

By Paul Bernier · April 10, 2025

Conversion rate optimization (CRO) is a strategy many organizations use to improve user experiences and drive revenue. However, many find it less than straightforward to prove the ROI of their…

A magnet and stick figures to indicate customer loyalty built with hybrid experimentation.

How To Increase Customer Loyalty With Hybrid Experimentation

By Paul Bernier · February 6, 2025

When you set out to improve customer loyalty, having data that clearly indicates what your users want is preferable over guessing or relying on your own assumptions. Of course, one…

A person weighing the words myth and fact to show the consideration of hybrid A/B testing myths.

4 Hybrid A/B Testing Myths That Could Be Holding You Back

By Paul Bernier · January 27, 2025

As more organizations discover the advantages of an experimentation program, which can include everything from improved user satisfaction to revenue growth to increased market share, it can be challenging to…

A magnifying glass over charts and graphs, suggesting the interpretation of a/b test results.

4 Elements to Consider When Interpreting A/B Test Results

By Paul Bernier · December 19, 2024

Organizations with established A/B testing programs know that running experiments is only the beginning of the optimization process. The most meaningful insights—and impact—come from what happens next: analyzing A/B test…