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

Customer feedback at scale

Early-stage products or start-ups can have a small team supporting customers. But as APIs start to have hundreds and thousands of users, it is no longer possible to use simple channels for managing support requests. For this reason, many specialized tools have been developed to build support operations.

Some of the most prominent tools used to build support systems are Zendesk, Freshdesk, Intercom, Salesforce, and HubSpot. These tools allow customers to get support using channels such as email, chat, text, WhatsApp, and so on while providing tooling for the support teams to receive, prioritize, label, and respond to incoming requests on time. These tools are highly customizable and can manage large support teams distributed across various functions and geographies.

Using an enterprise-level support tool ensures that customer requests are being recorded and addressed promptly. The data is available to be analyzed to establish metrics to measure support...