Lean Analytics Use Data to Build a Better Startup Faster 1st Edition by Alistair Croll, Benjamin Yoskovitz ISBN 1098168186 9781098168186

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Product details:

ISBN 10: 1098168186 
ISBN 13: 9781098168186
Author: Alistair Croll, Benjamin Yoskovitz

Whether you’re a startup founder trying to disrupt an industry or an entrepreneur trying to provoke change from within, your biggest challenge is creating a product people actually want. Lean Analytics steers you in the right direction.

This book shows you how to validate your initial idea, find the right customers, decide what to build, how to monetize your business, and how to spread the word. Packed with more than thirty case studies and insights from over a hundred business experts, Lean Analytics provides you with hard-won, real-world information no entrepreneur can afford to go without.

• Understand Lean Startup, analytics fundamentals, and the data-driven mindset
• Look at six sample business models and how they map to new ventures of all sizes
• Find the One Metric That Matters to you
• Learn how to draw a line in the sand, so you’ll know it’s time to move forward
• Apply Lean Analytics principles to large enterprises and established products

Lean Analytics Use Data to Build a Better Startup Faster 1st Table of contents:

• Part I: Lean Analytics Fundamentals

  • The Basics of Analytics
    • What is data? Types of data.
    • Understanding metrics vs. vanity metrics.
    • Key principles of good metrics (actionable, accessible, auditable).
  • The Lean Analytics Cycle
    • Build-Measure-Learn loop in a data context.
    • From hypothesis to validation.
  • The Five Stages of a Startup (Empathy, Stickiness, Virality, Revenue, Scale)
    • Understanding which metrics matter at each stage.
    • How your focus shifts as your business evolves.

• Part II: The Business Models and Their Metrics

  • This section likely dedicates a chapter or significant portion to each major business model, outlining the key metrics relevant to each:
    • E-commerce
      • Conversion rate, average order value, customer lifetime value (CLTV), churn, cost of customer acquisition (CAC).
    • SaaS (Software as a Service)
      • Monthly Recurring Revenue (MRR), churn rate, CAC, CLTV, user engagement.
    • Free Mobile App
      • Daily/Monthly Active Users (DAU/MAU), retention, engagement, virality, cost per install.
    • Media Site
      • Page views, unique visitors, time on site, ad impressions, click-through rates.
    • User-Generated Content (UGC)
      • Content creation rate, engagement with content, community growth.
    • Two-Sided Marketplaces
      • Growth of both supply and demand sides, liquidity, transaction volume.
    • Other business models or hybrid approaches.

• Part III: Applying Lean Analytics

  • Finding Your One Metric That Matters (OMTM)
    • Practical steps to identify the most crucial metric for your current stage.
    • How to “draw a line in the sand” (set a target for your OMTM).
  • Choosing the Right Tools
    • Overview of analytics platforms and tools (e.g., Google Analytics, Mixpanel, Kissmetrics, A/B testing tools).
    • When to use simple spreadsheets vs. sophisticated dashboards.
  • Running Experiments and A/B Testing
    • Designing effective experiments.
    • Interpreting results and making data-driven decisions.
  • Visualizing and Communicating Data
    • Creating effective dashboards and reports.
    • Communicating insights to stakeholders (team, investors).
  • Common Pitfalls and How to Avoid Them
    • Data overload, vanity metrics, ignoring qualitative data, analysis paralysis.
  • Lean Analytics for Large Organizations and Established Products
    • Adapting the lean analytics framework for bigger companies

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Tags: Alistair Croll, Benjamin Yoskovitz, Lean, Analytics