What is Product Analytics and Why is it so Important?

What is Product Analytics and Why is it so Important? | Product Management | Emeritus

Understanding how users interact with your product is more critical than ever, and, as businesses continue to evolve, gathering and analyzing user behavior has become essential for making informed decisions. This is where, understand “what is product analytics” matters. 

The analytics industry in India is currently experiencing tremendous growth, with the Delhi/NCR region leading the charge. They contribute a substantial 28% of the total revenue. Furthermore, right on its heels, Bengaluru follows closely, acting as the second-largest contributor, responsible for around 27% (1). As a result, these two regions have emerged as key players in driving the analytics landscape. They reflect how integral data-driven insights has become in today’s business world. 



As companies are increasingly adopting analytical tools, these regions are playing a pivotal role in shaping the future of product development and optimization. With this in mind, you may now be wondering—what is product analytics, why is it so vital, and how does it unlock new career opportunities? Let’s explore the answers to these pressing questions while also taking a deep dive into the trending tools in the industry.

Why Product Analytics is Essential for Business Success

Human Resource ManagementSimply creating a product is no longer enough to guarantee success in a highly competitive market. Consequently, you need to understand how users engage with it, what features they love, and where they experience friction. Here, the insights gained from product analytics help fine-tune the product, ensuring that it effectively serves both user needs and overall business goals.

Without implementing product analytics, companies risk losing touch with their users. On the other hand, data-driven decisions can lead to better user experiences, higher retention rates, and ultimately, improved revenue. In contrast, businesses that overlook analytics often find themselves making critical decisions blindly, potentially missing out on key opportunities for growth.

ALSO READ: Learn How Product Analytics Can Help Your Business Grow And Expand Operations

The Growing Importance of Data in Product Analytics

Data serves as the foundation of what is product analytics, allowing companies to collect vast amounts of information to better understand user behavior. However, it’s not just about gathering numbers—it’s also about grasping what type of data is collected in product analytics and how this data helps businesses thrive.

Two Key Types of Data in Product Analytics

1. Quantitative Data:  First, we have quantitative data, which revolves around numbers and statistical measurements—tracking user counts, session lengths, and interaction frequency. These metrics provide answers to questions like:

a. How many users click on a specific button?

b. What percentage of users drop off after using a particular feature?

2. Qualitative Data: Second, there is qualitative data, which offers insights into the “why” behind user behavior. It includes feedback gathered from surveys, interviews, or user-testing sessions. Understanding what type of data is collected in product analytics is essential for creating a comprehensive picture of user engagement and overall product performance.

By effectively leveraging both types of data, product teams can confidently decide which features to improve, add, or remove. Moreover, these insights not only inform product optimization but also serve as the foundation for future product development and innovation.

As businesses increasingly depend on data for growth, the demand for efficient product analytics tools has surged. Consequently, the digital landscape has seen a rise in tools designed specifically to meet the needs of modern businesses. Although these tools vary in complexity, they all share a common goal—to help companies extract valuable insights from user data.

1. Google Analytics

A household name in the analytics world, Google Analytics provides essential metrics like page views, session duration, and bounce rates. Its user-friendly interface makes it an excellent starting point for grasping what is product analytics.

2. Mixpanel

Mixpanel offers event-based tracking, focusing on user interactions. It allows you to go beyond traditional page views, making it easier to track how users engage with specific product features and effectively answer questions like what do you measure in product analytics.

3. Amplitude

Amplitude allows product teams to track detailed user behavior, cohort analysis, and funnels. Its focus on long-term engagement and user retention makes it a favorite among companies looking to gain deeper insights into what is product analytics.

4. Heap Analytics

Heap distinguishes itself by automatically capturing every user action, without requiring teams to predefine events. This automation not only saves time but also ensures that no valuable user interactions are missed during the tracking process.

5. Kissmetrics

Designed primarily for SaaS and eCommerce businesses, Kissmetrics tracks customer journeys from start to finish. This helps teams easily identify which features drive engagement and pinpoint areas requiring improvement.

6. Choosing the Right Tool

Choosing the right product analytics tool depends largely on the size of your business, your specific needs, and the type of product you offer. For example, tools like Google Analytics are ideal for smaller businesses just starting out. Mixpanel and Amplitude are better suited for companies looking for more granular insights. As you continue to understand what is product analytics, selecting the appropriate tool becomes an essential step in optimizing your product for success.

ALSO READ: What is Product Planning and Why It is Important

What Do You Measure in Product Analytics?

Successful Project ManagementSeveral key metrics help product managers and analysts make sense of user behavior and overall engagement. These metrics not only provide insight into product performance but also highlight areas that may need improvement.

Key Metrics to Measure:

1. User Retention Rates: Retention is critical. It tells you how often users return after their first interaction with the product.

2. Feature Adoption: How often are users interacting with new or updated features? This metric helps teams assess if their latest releases meet user expectations.

3. Conversion Rates: Whether it’s signing up for a newsletter or making a purchase, conversion rates indicate how well your product guides users toward desired actions.

4. Churn Rate: Churn measures how many users stop using your product over time. High churn rates indicate deeper problems that might require further investigation.

Career Prospects in Product Analytics

With the growing importance of data-driven insights, careers in product analytics have become more attractive and offer lucrative prospects. However, you might be asking yourself, why work in product analytics? Here’s why:

1. High Demand for Skilled Professionals

As companies increasingly adopt data-centric approaches, the demand for professionals skilled in what is product analytics has surged. Roles such as product analyst, data scientist, and product manager are all crucial in shaping today’s product landscape.

2. Competitive Salaries

In India, the average salary for a product analyst ranges between INR 8 and 15 lakhs annually (2), with the potential to reach INR 30+ lakhs (3) for those with more experience. Given the shortage of skilled employees in this field, the compensation is attractive and continues to grow.

3. Versatility in Career Paths

If you are wondering why work in product analytics, this field offers immense growth potential. Professionals can easily transition into higher roles such as senior product manager, director of product, or even Chief Product Officer (CPO).

4. Impactful Work

Working in product analytics places you at the heart of decision-making, giving you the power to directly influence how products evolve and impact user experiences. It’s a rewarding field that offers both career growth and the satisfaction of driving positive change.

How to Start a Career in Product Analytics

If you’re eager to learn in-depth what is product analytics and start a career in it, here are some practical steps to help you get started:

  • Start by mastering tools like Google Analytics, Mixpanel, and Amplitude
  • Familiarize yourself with essential metrics like user retention, churn rate, and feature adoption
  • Analytics is not just about data. It’s also about understanding how it ties into business goals
  • Certifications in product management and analytics can enhance your resume and provide hands-on experience

ALSO READ: Why is the Product Lifecycle Important?

To sum it up, product analytics is the key to unlocking a deeper understanding of user behavior. It allows businesses to make more informed product decisions. Whether you’re a company aiming to optimize your product or a professional looking to explore an exciting, data-driven career path, mastering what is product analytics opens up a world of opportunities.

If you’re ready to embark on this journey, consider enrolling in Emeritus’ Product Management courses. These courses, offered by Emeritus, in association with the world’s best universities provide the tools, insights, and practical experience needed to excel in product analytics.

By Niladri Pal

Write to us at content@emeritus.org

Sources: 

  1. Statista
  2. Glassdoor
  3. AmbitionBox

About the Author


Content Writer, Emeritus Blog
Yashvi is a dynamic content creator with 5+ years of experience crafting content for global brands, specializing in tech, finance, and healthcare sectors for both B2B and B2C audiences. Her diverse knowledge base empowers her to create meticulously researched, value-packed content for the EdTech sector, catering to various audiences. In her downtime, she explores the realms of mental well-being, reflecting her holistic approach to personal and professional growth and deepening her empathy for her audience's pain points and needs.
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