Amplitude Data Analytics: An Easy Guide

By: Published: November 25, 2021

Amplitude Data Analytics

Introduction

Are you looking to perform Amplitude data analytics? We have you covered. Data is a rich source of knowledge. A business that uses data to make its decisions will have a competitive advantage over its competitors. The business will be able to make sound decisions regarding running and management of the business. However, it’s not always easy for businesses to extract knowledge from data, especially when huge volumes of data are involved. 

There is a need for a tool to help businesses extract knowledge and information from raw data in the easiest way possible. Amplitude is the right tool for this. It helps businesses understand their customers better by analyzing customer data. In this article, we will be discussing how to use Amplitude for Data analytics. 

Prerequisites

This is what you need for this article:

  • An Amplitude Account. 

Table of Contents

What is Amplitude?

Amplitude is a tool for analyzing user behaviour data. Product, marketing, and growth teams use it to extract insights about user behaviour from data for decision making. Knowing more about user behaviour can help a company come up with new strategies to improve user engagement, retention, and revenue. This is exactly what Amplitude helps businesses achieve. 

The following are the key features offered by Amplitude:

  • Real-time user analytics including retention, funnels, revenue analysis and flexible user segmentation. 
  • Growth Discovery Engine- Helps you predict behaviours that predict conversation or retention and drive exponential user growth. 
  • Microscope- Helps you to analyze the user behaviour behind any data point. You can also make a comparison between the behaviour of engaged and churned users. 

You can create an Amplitude dashboard and add various visual elements to it to visualize your data. Amplitude is highly preferred by managers compared to its competitors. The reason is that it makes it easy to extract insights from data. Some of the most popular companies that use Amplitude are OrderAhead, StackShare, and Intuit. In the next few sections, I will be showing you how to create and edit dashboards in Amplitude. 

Hevo Data: Integrate and Visualize your Data Conveniently

Hevo is a No-code Data Pipeline. It supports pre-built data integrations from 100+ data sources, including Amplitude which is one of Hevo’s free sources. Hevo offers a fully managed solution for your data migration process. It will automate your data flow in minutes without writing any line of code. Its fault-tolerant architecture makes sure that your data is secure and consistent. Hevo provides you with a truly efficient and fully-automated solution to manage data in real-time and always have analysis-ready data at your data warehouse.

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Let’s look at some salient features of Hevo:

  • Fully Managed: It requires no management and maintenance as Hevo is a fully automated platform.
  • Data Transformation: It provides a simple interface to perfect, modify, and enrich the data you want to transfer. 
  • Real-Time: Hevo offers real-time data migration. So, your data is always ready for analysis.
  • Schema Management: Hevo can automatically detect the schema of the incoming data and maps it to the destination schema.
  • Live Monitoring: Advanced monitoring gives you a one-stop view to watch all the activities that occur within pipelines.
  • Live Support: Hevo team is available round the clock to extend exceptional support to its customers through chat, email, and support call.
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Data Analytics with Amplitude

Customer data is everywhere. Collecting data is one thing, but understanding it is another. That’s why you need data analytics. It takes raw data and turns it into something useful for your business. 

It will tell you more about your customers in terms of how they interact with your app or website, the steps they take in a purchase funnel, customer retention rate, etc. In the next few sections, we will be discussing the various tasks involved when doing data analytics with Amplitude:

Event Segmentation

You can use event segmentation to create charts from events and event properties. These can be simple charts like users performing a particular event or complex formulas of events. Event Segmentation forms the core Amplitude chart that shows what users are doing in your product. 

It offers the following capabilities:

  • Measuring the events performed most over a selected period of time. 
  • Analyzing how frequently events are performed. 
  • Determining the number of unique users performing events on a particular product. 
  • Understanding the users who trigger certain events. 

Click “Select Event” in the events module to see the available events. You will then be able to select the event whose data you need to view from the events module. 

amplitude data analytics: amplitude data analytics Logo

Types of Segments

There are different types of segmentation that you can choose on a chart. The Event Segmentation chart sets the right module for events to be “… performed by [Any] [Users]”. 

amplitude data analytics: Types of Segments

So, there are three options namely Any, Active, and New. Any denotes all users who’ve performed these events. Active denotes a user who has logged in one or more events during the specified time range. New denotes a user who logs their event for the first time with Amplitude. 

Adding More Segments

To add a new segment, simply click the “+ Add Segment” button. 

amplitude data analytics: Adding More Segments

Retention Analysis

Retention analysis helps you know how often users return to your product after taking a particular action. Amplitude calculates retention data by comparing the date of that starting event to the date of return event that you have specified. When creating a retention analysis chart, you may choose any event that you like for the starting and return events. To create a new Retention Analysis chart, click the “+ New” button and choose “Retention”. 

amplitude data analytics: Retention Analysis

You will then be taken to the Retention analysis page where you can see the retention Analysis chart for your product. 

User Cohorting

User Cohorting helps you define a group of users depending on their actions. You can save that group for further analysis and understand the user behaviour better. You can also group the users based on their attributes like region, country, platform, etc. To define a new Cohort, click the “+ New” button and choose “Cohort”.

amplitude data analytics: User Cohorting

You will be taken to the Create Cohort page in which you can set parameters for the new Cohort. 

Limitations

The following are the limitations of using Amplitude for Analytics:

  1. Amplitude can be overwhelming. 
    It is packed with features for slicing and visualizing data which can confuse non-analysts. 
  1. It’s difficult to move data in and out of Amplitude. 
    You may have to rely on another platform like Segment for this. 

Conclusion

This is what you’ve learnt in this article:

  • You’ve learnt more about Amplitude. 
  • You’ve learnt how to perform Event Segmentation using amplitude. 
  • You’ve learnt how to perform Retention Analysis with Amplitude. 
  • You’ve learnt how to perform User Cohorting with Amplitude. 

Hevo is a No-code Data Pipeline. It supports pre-built integrations from free sources like Amplitude along with other 100+ data sources at a reasonable price. Let Hevo integrate your services seamlessly without using any code.

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Have any further queries? Let us know in the comments section below. You can also have a look at the unbeatable pricing that will help you choose the right plan for your business needs.

Nicholas Samuel
Freelance Technical Content Writer, Hevo Data

Skilled in freelance writing within the data industry, Nicholas is passionate about unraveling the complexities of data integration and data analysis through informative content for those delving deeper into these subjects. He has written more than 150+ blogs on databases, processes, and tutorials that help data practitioners solve their day-to-day problems.

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