Lean analytics is a method of measuring and optimizing business performance by identifying and focusing on key metrics that drive growth and success. The approach is based on the principles of lean startup methodology and agile development, which emphasize rapid experimentation, continuous improvement, and customer feedback.

The goal of lean analytics is to help companies identify the most important metrics to track, measure progress towards business goals, and make data-driven decisions about product development and marketing strategies.

The process typically involves four steps:

1. Define key metrics: Identify the few key metrics that are most critical to achieving business objectives. These metrics should be aligned with the company's goals and reflect the areas of the business that drive growth.
   
   
2. Gather data: Collect and analyze data related to the key metrics, using a variety of sources such as customer surveys, website analytics, and sales data.
   
   
3. Test and iterate: Experiment with different strategies to improve performance, such as changing marketing tactics or product features, and measure the impact on the key metrics.
   
   
4. Learn and optimize: Use the insights gained from testing to make data-driven decisions about the business strategy and refine the approach over time.
   

By using lean analytics, companies can avoid wasting time and resources on metrics that are not driving growth, and focus on the key areas that will have the greatest impact. This approach can help startups and established businesses alike to stay agile, iterate quickly, and optimize their operations for success.