Metric Selection: The book guides startups in selecting the right metrics that align with their business goals. It stresses the importance of choosing metrics that matter and can drive actionable insights.

Build-Measure-Learn Cycle: Following the lean startup methodology, "Lean Analytics" emphasizes the iterative cycle of building a product, measuring its performance using key metrics, and learning from the results to inform future iterations.

One Metric That Matters (OMTM): The concept of OMTM is introduced, encouraging startups to focus on a single key metric that is most critical to their current stage and objectives. This helps prevent information overload and directs attention to what truly matters.

Stages of Growth: The book discusses how the metrics and analytics that matter most to a startup can vary depending on its stage of growth (e.g., early stage, growth stage, or mature stage). Understanding these nuances is crucial for effective decision-making.

Vanity Metrics vs. Actionable Metrics: "Lean Analytics" distinguishes between vanity metrics, which might look impressive but don't necessarily drive business decisions, and actionable metrics that provide insights that can lead to meaningful actions.

Product-Market Fit: Achieving product-market fit is a central theme. The book provides guidance on using analytics to assess whether a startup has successfully aligned its product with the needs of the market.

Innovative Business Models: The authors discuss various business models and how analytics can be applied to optimize and innovate these models, including subscription-based models, marketplace models, and more.

Pirate Metrics (AARRR): The book introduces the AARRR framework, which stands for Acquisition, Activation, Retention, Referral, and Revenue. This framework helps startups analyze and optimize the customer lifecycle.

Customer Segmentation: Understanding different customer segments and tailoring analytics to each segment is crucial. The book provides insights into how startups can use data to identify and serve diverse customer groups.

Continuous Improvement: "Lean Analytics" underscores the importance of a culture of continuous improvement. Regularly reassessing strategies, iterating based on data, and adapting to changing circumstances are key principles for startup success.