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

Decision-Making with Data

As a product manager, one of your key responsibilities is to make decisions about the product and its direction. Data can be a powerful tool to inform these decisions by providing insights about customer behavior, market trends, and the performance of the product. By using data to inform decision-making, you can make more informed, evidence-based decisions that are more likely to lead to the success of the product. This can involve analyzing data to identify opportunities for product improvements, developing hypotheses about how changes to the product will impact its performance, and using data to measure the success of these changes. Ultimately, the purpose of using data to inform decision-making is to make better, more informed decisions that will help the product achieve its goals and succeed in the market.

Using data to make decisions also ensures consistency in your decision-making and helps you gain alignment across stakeholders. Following the data...