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

Short-term goals

You should combine short-term analytics goals with a strategic picture of how analytics can be used to create business value. The organization’s strategic analytics framework and roadmap should include this strategic picture. Short-term goals and projects in analytics are important because they do the following:

  • Build and/or improve the organization’s momentum as it starts or continues its analytics journey
  • Validate the value of data analytics for the business
  • Give you a chance to try out and quickly learn how analytics models and tools can be used in the organization’s context
  • Confirm the business case for investing in analytical tools and platforms

Short-term analytics goals and objectives shouldn’t take more than two to three months to implement, depending on the size of the organization and how easy it is to get the data. They may also need to use both structured and unstructured data.

Structured data is...