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 and long-term goal setting

Setting short-term and long-term goals is important for product leadership because it helps to establish a clear direction for a product and the team working on it. Short-term goals provide a sense of immediate progress and accomplishment, while long-term goals provide a sense of purpose and a vision for the future.

In the following chapters, you will learn about why setting an analytics strategy is crucial for the success of your product. You will also learn about various analytical techniques for data mining, text analysis, time series analysis, and so on to help you interpret data and gather insights. You will also learn about goal-setting frameworks such as specific, measurable, attainable, relevant, and time-bound goals (SMART), (objectives and key results) (OKR), and north-star metrics to establish short-term and long-term goals that align with your product strategy.

You will also learn about strategic storytelling, which is a way of...