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.
Related Insights
Elevate Conversion Rate Optimization (CRO) from tactical to strategic by treating it like a measurement system. A high volume of tests, viewed in context with one another, provides a detailed, high-fidelity understanding of user behavior, much like a 3D scan requires numerous data points for accuracy.
To scale a testing program effectively, empower distributed marketing teams to run their own experiments. Providing easy-to-use tools within a familiar platform (like Sitecore XM Cloud) democratizes the process, leveraging local and industry-specific knowledge while avoiding the bottleneck of a central CRO team.
Instead of focusing solely on conversion rates, measure 'engagement quality'—metrics that signal user confidence, like dwell time, scroll depth, and journey progression. The philosophy is that if you successfully help users understand the content and feel confident, conversions will naturally follow as a positive side effect.
Even a top-tier sales professional has a career pitch win rate of just 50-60%. Success isn't about an unbeatable record, but a relentless focus on analyzing failures. Remembering and learning from every lost deal is more critical for long-term improvement than celebrating wins.
The 'fake press release' is a useful vision-setting tool, but a 'pre-mortem' is more tactical. It involves writing out two scenarios before a project starts: one detailing exactly *why* it succeeded (e.g., team structure, metrics alignment) and another detailing *why* it failed. This forces a proactive discussion of process and risks, not just the desired outcome.
When introducing a new skill like user interviews, initially focus on quantity over quality. Creating a competition for the "most interviews" helps people put in the reps needed to build muscle memory. This vanity metric should be temporary and replaced with quality-focused measures once the habit is formed.
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.
To develop your "people sense," actively predict the outcomes of A/B tests and new product launches before they happen. Afterward, critically analyze why your prediction was right or wrong. This constant feedback loop on your own judgment is a tangible way to develop a strong intuition for user behavior and product-market fit.
To ensure continuous experimentation, Coastline's marketing head allocates a specific "failure budget" for high-risk initiatives. The philosophy is that most experiments won't work, but the few that do will generate enough value to cover all losses and open up crucial new marketing channels.
The best use of pre-testing creative concepts isn't as a negative filter to eliminate poor ideas early. Instead, it should be framed as a positive process to identify the most promising concepts, which can then be developed further, taking good ideas and making them great.
