Yes, it's true! Around 2009, Google famously conducted extensive A/B testing to determine the best shade of blue for its ad links and user interface. The company tested 41 different shades of blue to see which color generated the highest user engagement and click-through rates.
This seemingly small decision had a massive financial impact. According to former Google executive Marissa Mayer, this experiment ultimately increased revenue by hundreds of millions of dollars annually, making the $2 million cost of testing well worth the investment.
It’s an example of how data-driven decision-making can have enormous implications for business outcomes, even in areas as subtle as color choices.
-- ChatGPT
