Experiment Results in Vendor Central

Experiment results on Vendor Central provide insights into how different content versions perform. These results are updated weekly until an experiment concludes. They include the probability that one version outperforms another, detailed metrics such as sales and conversion rates, and a projected one-year impact.

• Probability: Indicates the likelihood that one content version is superior. For instance, a 75% probability suggests a positive sales impact from that version.
• Metrics: Display units, sales, conversion rate, and sample size. The conversion rate is calculated from unique visitors who view and purchase your content.
• Projected One-Year Impact: Offers an estimate of the potential increase in sales or units over a year, derived from daily sales data multiplied by 365.

If experiment results are inconclusive, this may stem from factors like minimal content changes or insufficient traffic. Despite any uncertainty, these outcomes can guide content strategy decisions and future experiments in Vendor Central. The methodology relies on a Bayesian approach, calculating the probability distribution for more accurate result interpretation.