SaaS Analytics Deep Dive
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The document discusses the importance of analytics in B2B SaaS businesses, emphasizing the needs of stakeholders like management, investors, and customers. It outlines several key metrics such as CAC, LTV, and churn, and presents different analytics strategies including click stream analytics and funnel analysis. Additionally, it touches on various analytics solutions and considerations for effective decision-making.
SaaS Analytics Deep Dive
- 1. SaaS Analytics 1 SERGEY SUNDUKOVSKIY, CO-FOUNDER, CTO/CPO RAKEN
- 2. Why? 2
- 3. Agenda 3
- 4. Lies, Damn Lies and Statistics 4
- 6. What Are You Selling? 6
- 7. What Type of Business Are You? B2B SaaS Land and Expand Seat Based Pricing Feature Based Packaging Bottom Up Adoption Top Down Purchasing 7
- 8. Who Needs Analytics and Why? Management – Potential Energy and Trip Wires Investors – Opportunity Development Board – Strategy Validation Employees – Kinetic Energy Customers – Actionable Insights 8
- 9. Know Your Units CAC – Cost of Customer Acquisition LTV – Lifetime Value Churn Break Even Point Expansion Contraction MRR – Monthly Recurring Revenue ARR – Annual Run Rate ASP – Average Sales Price 9
- 10. Here Is What They Mean 10
- 11. Analytics and Reporting Stack 11
- 12. Trial and Error Process 12
- 13. Evaluation 13
- 14. Stage and Scale Matters 14
- 15. Web Click Stream Analytics 15
- 16. Mobile Click Stream Analytics 16
- 21. Complex Analytics and Attribution Scenarios Cross Device Cross Channel Cross User Cross Company Cross Account 21
- 25. Modeling 25
- 26. Dashboarding 26
- 31. User Journey – Marketing and Sales Analytics 31
- 35. Data Pipeline 35
- 37. Stateful Data 37
- 39. Simple Do It Yourself Simple Solution 39
- 40. Self-Managed Open Source Solution 40
- 42. Post Display 42
- 43. Decision Making Outsourcing Ignorance ROI Considerations TOC Considerations Scalability Automation 3rd Party Integrations Data Volume Support 43