APIs are crucial in the modern market as they allow faster innovation. But have you ever considered your APIs as products for revenue generation?
API Analytics for Product Managers takes you through the benefits of efficient researching, strategizing, marketing, and continuously measuring the effectiveness of your APIs to help grow both B2B and B2C SaaS companies. Once you've been introduced to the concept of an API as a product, this fast-paced guide will show you how to establish metrics for activation, retention, engagement, and usage of your API products, as well as metrics to measure the reach and effectiveness of documentation—an often-overlooked aspect of development.
Of course, it's not all about the product—as any good product manager knows; you need to understand your customers’ needs, expectations, and satisfaction too. Once you've gathered your data, you’ll need to be able to derive actionable insights from it. This is where the audiobook covers the advanced concepts of leading and lagging metrics, removing bias from the metric-setting process, and bringing metrics together to establish long- and short-term goals.
By the end of this audiobook, you'll be perfectly placed to apply product management methodologies to the building and scaling of revenue-generating APIs.

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Spis treści

API Analytics for Product Managers. Understand key API metrics that can help you grow your business Audiobook -- spis treści

• 1. Opening Credits
• 2. Foreword and Contributors
• 3. Preface
• 4. API as a Product
• 5. API Product Management, Part-1
• 6. API Product Management, Part-2
• 7. API Life Cycle and Maturity
• 8. Building and Managing API Products
• 9. Growth for API Products
• 10. Support Models for API Products
• 11. Walking in the Customer's Shoes
• 12. Customer Expectations and Goals
• 13. Components of API Experience
• 14. Infrastructure Metrics
• 15. API Product Metrics
• 16. Business Metrics
• 17. Drawing the Big Picture with Data
• 18. Keeping Metrics Honest
• 19. Counter Metrics to Avoid Blind Spots
• 20. Decision-Making with Data
• 21. Closing Credits