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

A holistic approach to analytics

There are three core dimensions to API product analytics that measure a product across all aspects of the customer journey – infrastructure, product, and business, as shown in the following diagram.

Figure P3.1 – Dimensions of API Analytics

Being data-driven in API management is important because it allows companies to make informed decisions about their API strategy, operations, and performance. A data-driven approach enables a company to understand how its API is being used, how it’s performing, and how it’s impacting a business.

Here are some examples of why a data-driven approach is important in API management:

Infrastructure: API infrastructure metrics such as uptime, response time, and error rates can be collected and analyzed to identify and troubleshoot issues, and to ensure that an API is performing well and meeting service-level agreements.

Product experience: Metrics such as user...