Book Image

API Analytics for Product Managers

By : Deepa Goyal
Book Image

API Analytics for Product Managers

By: Deepa Goyal

Overview of this book

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.
Table of Contents (24 chapters)
21
The API Analytics Cheat Sheet

Summary

Building good APIs starts with making them easy to use and reliable, scalable, and robust. Packaging your APIs with a great API experience and helping customers discover your APIs and effectively evaluate, integrate, test, and scale their usage helps you onboard customers successfully. If your customers are able to use your APIs effectively and build successful applications using them, growth patterns will show up in your business results.

Building an analytics strategy in steps, starting with infrastructure metrics as the base, then moving on to product metrics, and then connecting them to business metrics, makes sure that everyone working on the product has the same goals and priorities. Now that you are familiar with numerous metrics across various dimensions of infrastructure, product, and business, in the upcoming chapters, you will learn about evaluating these metrics against each other and clustering them to create various leading and lagging metrics, input and output...