API Analytics for Product Managers: Understand key API metrics that can help you grow your business

Research, strategize, market, and continuously measure the effectiveness of APIs to meet your SaaS business goals with this practical handbook

Key Features

• Transform your APIs into revenue-generating entities by turning them into products
• Meet your business needs by improving the way you research, strategize, market, and measure results
• Create and implement a variety of metrics to promote growth

Book Description

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 book 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 book, you'll be perfectly placed to apply product management methodologies to the building and scaling of revenue-generating APIs.

What you will learn

• Build a long-term strategy for an API
• Explore the concepts of the API life cycle and API maturity
• Understand APIs from a product management perspective
• Create support models for your APIs that scale with the product
• Apply user research principles to APIs
• Explore the metrics of activation, retention, engagement, and churn
• Cluster metrics together to provide context
• Examine the consequences of gameable and vanity metrics

Who this book is for

If you're a product manager, engineer, or product executive charged with making the most of APIs for your SaaS business, then this book is for you. Basic knowledge of how APIs work and what they do is essential before you get started with this book, since the book covers the analytical side of measuring their performance to help your business grow.

研究、策略、市場和持續衡量 API 的效能，以實現您的 SaaS 業務目標，這本實用手冊將指導您達成目標。

主要特點：

- 透過將 API 轉化為產品，將其轉化為賺錢的實體
- 通過改進研究、策略、市場和衡量結果的方式，滿足您的業務需求
- 創建並實施各種指標以促進增長

書籍描述：

在現代市場中，API 是至關重要的，因為它們可以實現更快的創新。但您是否曾考慮過將您的 API 視為產品以實現收入增長？

《產品經理的 API 分析》將帶您了解有效研究、策略、市場和持續衡量 API 效能的好處，以幫助增長 B2B 和 B2C SaaS 公司。一旦您瞭解了 API 作為產品的概念，這本節奏快的指南將向您展示如何建立激活、保留、參與和使用 API 產品的指標，以及衡量文檔的覆蓋範圍和效果的指標——這通常是開發中被忽視的一個方面。

當然，這不僅僅關乎產品——任何優秀的產品經理都知道，您還需要瞭解客戶的需求、期望和滿意度。在收集數據後，您需要能夠從中獲得可行的見解。本書涵蓋了領先和滯後指標的高級概念，從指標設定過程中消除偏見，並將指標結合起來建立長期和短期目標。

通過閱讀本書，您將完全掌握將產品管理方法應用於構建和擴展賺錢的 API。

您將學到什麼：

- 為 API 建立長期策略
- 探索 API 的生命週期和成熟度概念
- 從產品管理的角度瞭解 API
- 為與產品相應的 API 建立可擴展的支援模型
- 將用戶研究原則應用於 API
- 探索激活、保留、參與和流失的指標
- 將指標聚集在一起以提供上下文
- 檢視可遊戲化和虛榮指標的後果

本書適合對於 SaaS 業務中的 API 充分利用負責的產品經理、工程師或產品主管。在閱讀本書之前，您需要對 API 的工作原理和功能有基本的了解，因為本書涵蓋了衡量其性能以幫助業務增長的分析方面。

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

1. 以API為產品
2. API產品管理
3. API生命週期和成熟度
4. 建立和管理API產品
5. API產品的成長
6. API產品的支援模式
7. 走入客戶的角度
8. 客戶的期望和目標
9. API體驗的組成部分
10. 基礎設施指標
11. API產品指標
12. 商業指標
13. 用數據繪製大局
14. 保持指標的誠實性
15. 避免盲點的對立指標
16. 利用數據做決策