Marketing decisions should not be based on internal team members' subjective preferences, such as "I wouldn't click on that." Your team is not your target audience. A culture of A/B testing ideas should always take precedence over personal opinions to avoid a bad marketing environment.

Foster a culture of experimentation by reframing failure. A test where the hypothesis is disproven is just as valuable as a 'win' because it provides crucial user insights. The program's success should be measured by the quantity of quality tests run, not the percentage of successful hypotheses.

Beyond testing hypotheses, real-world experiments serve a crucial social function: reducing employee fear of change. By co-designing experiments with skeptics to test their specific assumptions, innovation teams can quell fears with data, turning organizational resistance into buy-in.

Shifting the conversation from "moving faster" to "investing wisely" helps get stakeholder buy-in. It highlights that experiments prevent wasting significant time and money on suboptimal or failing ideas, making it a powerful risk management tool.

To shift a sales-led culture, don't just present data. Let executives vote on their preferred feature version, then run an A/B test. Showing them hard data that their gut feeling was wrong is a powerful way to prove the value of a data-driven product process and secure buy-in for change.

Instead of trying to convince skeptical leadership with a presentation, carve out a small part of your budget to run a real-world test of your creative idea. Present the superior results from your experiment. Data from a live campaign is far more persuasive than a theoretical argument.

Chess.com's goal of 1,000 experiments isn't about the number. It’s a forcing function to expose systemic blockers and drive conversations about what's truly needed to increase velocity, like no-code tools and empowering non-product teams to test ideas.

Instead of only testing minor changes on a finished product, like button color, use A/B testing early in the development process. This allows you to validate broad behavioral science principles, such as social proof, for your specific challenge before committing to a full build.

To get company-wide buy-in for CRO, focus reporting on program-level metrics, not just individual test results. Share high-level insights like win/loss rates and cross-departmental impact in quarterly reviews. This frames CRO as a strategic business function, not just a series of tactical marketing experiments.