What is it?

Variance measures the degree of variability in a dataset or metric over time. High variance indicates greater fluctuation, while low variance suggests stability.

Variance affects interpretation and reliability.

Examples in Action

• Daily conversion rate volatility
  
• Traffic fluctuations by channel
  
• Performance differences across segments
  
• Short-term metric instability
  

Typical Outcomes / Results

• Improved understanding of data stability
  
• Better distinction between trend and fluctuation
  
• Reduced misinterpretation of short-term change
  
• More accurate performance assessment
  

This definition reflects standard statistical usage.