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

Measuring operations’ efficiency

Operational metrics are important for any business, but they are particularly important for API businesses. This is because API businesses depend on the cloud to deliver their software, and operational metrics can help make sure that the software is always and reliably delivered.

Some specific ways in which operational metrics can be important for a SaaS business include:

  • Identifying problems and bottlenecks: Operational metrics can help to identify problems or bottlenecks in the delivery of the software, such as slow response times or high error rates. This can help to identify areas that need improvement and optimize the delivery of the software.
  • Monitoring performance: Operational metrics can help to monitor the overall performance of the software, including metrics such as uptime and availability. This can help to ensure that the software is performing as expected and meeting the needs of users.
  • Providing insights into...