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

What this book covers

Part 1, The API Landscape

The objective of this part is to introduce APIs as products and shed light on how large the market is for API products. You will learn about product management concepts and how they apply to APIs. This part will also explain the life cycle and maturity of an API.

Chapter 1, API as a Product

APIs go beyond web products or mobile apps with the UI. In this chapter, you will be introduced to the idea of an API as a product and how a vast universe of products is built using APIs. This chapter will also look at some of the most well-known API companies and how they’ve made successful API products.

Chapter 2, API Product Management

API product management has evolved into a specialization with some fundamental pieces that a product manager must understand to effectively make product decisions. This chapter will go over various types of products from a product management perspective and how they require different skill sets.

Chapter 3, API Life Cycle and Maturity

This chapter will help you understand why the API product life cycle, methodology for establishing API governance, and use of the API maturity model are important for organizations, as they help them to ensure that their APIs are developed and managed in a consistent, efficient, and effective manner, aligned with the organization’s goals, policies, and standards, and that they can evolve over time to meet changing business needs. This chapter also presents case studies of some of the leading API products and how they present their API maturity to their customers.

Chapter 4, Building and Managing API Products

This chapter will talk about the unique design challenge of defining an API product MVP. As the API product matures, the challenges can get more complicated, and in addition to growth, retention and churn might also become very crucial in product strategy. At each step of API maturity, the stakeholders’ and customers’ needs and expectations change. This chapter explains what we mean by “API maturity” and how it relates to the API life cycle.

Chapter 5, Growth for API Products

Growth for APIs refers to the process of increasing the usage and adoption of an API by different user groups, such as developers, businesses, and consumers. Growth can be achieved by identifying, helping identify, and helping the target audience; developing a marketing, pricing, and sales strategy that effectively communicates the value and benefits of the API to the target audience; and helping to generate interest and awareness. We can utilize product-led growth and community-led growth for API growth.

Chapter 6, Support Models for API Products

The customer support strategy for API products is different from that for other products. This chapter dives into the standard methodologies for creating a robust support model for APIs that scales with the product and delivers value for customers.

Part 2, Understanding the Developer

This part is focused on the primary customer of APIs: the developer. It is evidently important to understand the developer journey in order to establish a growth funnel for your API product. You will also learn about signals for activation, engagement, retention, and scale.

Chapter 7, Walking in the Customer's Shoes

This chapter describes what product funnels are and how they are established for various types of products. You will be introduced to concepts such as activation, retention, engagement, and churn.

Chapter 8, Customer Expectations and Goals

This chapter helps you understand the goals of both the business and the customer to be able to establish roadmaps that build a long-term API strategy for the organization. This chapter will introduce you to tools such as CSAT, NPS, and other user research mechanisms to develop an understanding of customers. You will learn how to understand your customers so you can get them to use your product, and set up a product strategy that gets customers started on a long-term relationship with your product.

Chapter 9, Components of API Experience

In this chapter, you will learn about a few key ingredients for creating a great API experience. It is important to understand how some of these experiences have been designed across the industry to be able to shape any API product. We look at things such as API references, status pages, SDKs, CLIs, and so on that are part of the API experience.

Part 3, A Deep Dive into Key Metrics for API Products

This part will introduce you to the reasoning behind API metrics. You will do a deep dive into all dimensions of the user journey and learn about a vast set of metrics that you can track across the infrastructure, product, and business dimensions of your APIs.

Chapter 10, Infrastructure Metrics

Infrastructure metrics are crucial for APIs that serve a large or a small customer base. It is important that APIs be reliable. In this chapter, you will learn how to measure infrastructure metrics and various tools that provide an easy setup to get them.

Chapter 11, API Product Metrics

In this chapter, you’ll find out about the different metrics you can use to learn more about your customers. The metrics you learn in this chapter can be used across all the stakeholders in your product to align on common goals and priorities.

Chapter 12, Business Metrics

In this chapter, you’ll learn about the business metrics you need to set up and keep track of regularly in order to measure the business impact of your infrastructure and product development projects.

Part 4, Setting a Cohesive Analytics Strategy

It is not sufficient to merely have metrics set up. It is also important to understand how to evaluate the quality of the metrics and how to make sure they are extensive and robust. This part describes the possible ways in which metrics can be analyzed and evaluated. You will learn how to remove blind spots and avoid vanity metrics that may not be true representations of product health.

Chapter 13, Drawing the Big Picture with Data

This chapter dives into the evaluation of metrics once a measurement is done. The first step is to establish a baseline and find ways of benchmarking it. Metrics should not be standalone; they need to be evaluated in the context of other metrics. This chapter also establishes the concept of correlation in metrics and dives into how to set clusters of metrics so that there is a set of metrics that are seen in relation to each other and not all metrics at once.

Chapter 14, Keeping Metrics Honest

This chapter talks about combining qualitative and quantitative data to form hypotheses and drive insights that may not be easily available without combining these two. This chapter also explains what leading and lagging metrics are and how to find them in a set of related metrics.

Chapter 15, Counter Metrics to Avoid Blind Spots

In this chapter, you will learn about counter metrics to remove bias from the metrics-setting process so that blind spots might be addressed. This chapter also introduces the concept of gamaebility with examples and explains the consequences of gameable and vanity metrics.

Chapter 16, Decision-Making with Data

In this chapter, you will learn about how effective product leadership requires setting short-term and long-term goals and strategically communicating those goals to stakeholders through storytelling. This approach helps to establish a clear direction for the product and the team, aligning everyone around a common vision and enabling the team to work together to achieve success.