The first step in getting a quantitative knowledge of what consumers are doing with your product is to equip it with analytics. The goal is to get an aggregated view of how many users use a feature and how often they use it by firing an event for every action a user can perform in your product. You may then discover which aspects need improvement and which are the most important to you and use that information to prioritize modifications.

12+ Product Analytics Software

1. Amplitude

amplitude

Details

Rating: 4.5/5

Price: Custom

Download

2. Pendo

pendo

Details

Rating: 4.7/5

Price: FREE

Download

3. Heap

heap

Details

Rating: 5/5

Price: FREE

Download

4. Mixpanel

mixpanel

Details

Rating: 5/5

Price: FREE

Download

5. Smartlook

smartlook

Details

Rating: 4.7/5

Price: $31/month

Download

6. Gainsight PX

gainsight px

Details

Rating: 5/5

Price: Custom

Download

7. Auryc

auryc

Details

Rating: 4.8/5

Price: Custom

Download

8. Quantum Metric

quantum metric

Details

Rating: 4.7/5

Price: Custom

Download

9. UserIQ

useriq

Details

Rating: 5/5

Price: Custom

Download

10. Totango

totango

Details

Rating: 4.7/5

Price: FREE

Download

11. Indicative

indicative

Details

Rating: 4.5/5

Price: FREE

Download

12. Google analytics

google analyticss

Details

Rating: 4.7/5

Price: FREE

Download

13. Hone

hone

Details

Rating: 4.5/5

Price: Custom

Download

What Is a Product Analytics Software?

The goal of product analytics is to increase customer empathy by determining how consumers engage with your product. There is a digital track of such activity whether you build a SaaS solution or consumer items. Product analytics entails keeping track of that activity and organizing it logically. The goal of product analytics is to increase customer empathy by determining how consumers engage with your product. Product analytics software reports on how consumers engage with websites, software, and other products. Customer experience, product training and onboarding, and learning to understand customer retention and churn to influence product development are examples of use cases.

Benefits

Product analytics’s benefits are it provides essential data plotting from which the product manager and their team can derive insights. In addition, it gives various data, ranging from fundamental characteristics like who uses the products to more detailed insights into the users’ specific preferences. Also, it is essential because they may help you gain a better knowledge of your customers for you to be able to meet their desired requirements.

Features

Businesses can utilize product analytics solutions to track their users’ travels step by step. Segmentation, funnels, and cohorts are essential features for companies to understand their customers and their decisions. Product analytics software must also alert product teams to service and replacement needs in real-time and advise preventative steps. The following are some features of product analytics software:

  • The ability to track customer behaviour via an app or on a website
  • Should be able to covey with one another and give notifications to the product team using the tool.
  • Companies can utilize this user-facing capability to visualize their collected data via templated or customer reports.

Top 10 Product Analytics Software

1. Amplitude

Amplitude is a data analytics tool that allows businesses to optimize user engagement by using insights from consumer behaviour data. Amplitude has a revenue of $130 million and employs 400 people.

2. Pendo

Pendo creates a Software as a Service platform that allows companies to track product usage, collect user feedback, and provide in-app coaching. As a result, they generate $90 million in revenue and employ 430 people.

3. Heap

Heap is an internet platform that provides organizations with client data tracking solutions. They have 145 employees and a revenue of $28 million.

4. Mixpanel

Mixpanel is a web and mobile analytics platform that monitors how users interact with websites and mobile applications. Mixpanel has a $100 million revenue and 1,000 employees.

5. Smartlook

Smartlook provides enterprises with behavioural analytics solutions like user recordings, heatmaps, event monitoring, and funnels. They have a $4 million income and employ 24 people.

6. Gainsight PX

Gainsight is a customer success software that helps businesses improve their product experience and revenue. They generate $147 million in revenue and employ 700 people.

7. Auryc

Auryc is an artificial intelligence-powered platform that enables businesses to improve their customer service. They generate $3 million in revenue and employ 19 people.

8. Quantum Metric

Quantum Metric is a cross-device digital platform that provides businesses with customer experience analytics solutions. They have a $42 million revenue and 200 employees.

9. UserIQ

UserIQ is a customer intelligence platform that provides businesses with in-app data engines, retention, and user adoption solutions. They have a $9 million revenue and employ 26 people.

10. Totango

Totango is a product lifecycle management platform for enterprises that generates custom reports and notifications for sales teams. They make $21 million in revenue and employ 100 people.

FAQs

What is product data analytics, and how does it work?

Product analytics is a set of technologies that allows product managers and teams to evaluate the effectiveness of the digital experiences they create. Product analytics provides crucial data for optimizing sales performance, diagnosing issues, and correlating customer behaviour with long-term value.

What is the role of a product analyst?

Product analyst conducts market research and analyzes market data to detect customer trends and behaviours. Their studies give recommendations and offer launch methods to help the company become more profitable. In addition, product analysts do productivity tracking and make changes as needed to fulfil sales targets.

In layman’s words, what is analytics?

The systematic computerized analysis of data or statistics is known as analytics. It’s a tool for finding, interpreting, and communicating basic patterns in data. It also implies using data trends to make more informed decisions.

Implementing product analytics software necessitates thorough study and a clear understanding of the goals you want to achieve. These tools will be one of the leading elements in making the best decisions for your products and consumers, whether you’re freshly new to product management or a seasoned veteran. In addition, you’ll be able to do more market research if you have a clear understanding of the requirements and benefits of each tool.

Related Posts