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

Setting the data strategy

You have data if you have a product, but you need more than data to optimize and improve your product. Having a data strategy enables you to turn data into value. Your data strategy comprises the tools, methods, and rules that tell you how to handle, analyze, and use data. A data strategy enables you to make data-driven decisions. It also assists you in keeping your data secure and compliant.

Almost every organization collects data in different ways, and a data strategy helps a company manage and evaluate all of this data. It also puts a company in an excellent position to deal with problems, including the following issues:

  • Without capture and analysis of appropriate data, you can’t support operational decision-making, and this results in slow and inefficient product operations
  • Data privacy, integrity, and quality can limit your capacity to evaluate data
  • An inadequate grasp of essential business components (clients, supply chain,...