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Google Analytics vs Heap vs Segment comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Mindshare comparison

As of June 2025, in the Web Analytics category, the mindshare of Google Analytics is 11.4%, up from 10.4% compared to the previous year. The mindshare of Heap is 6.7%, up from 6.1% compared to the previous year. The mindshare of Segment is 4.0%, down from 6.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Web Analytics
 

Featured Reviews

reviewer1276785 - PeerSpot reviewer
Provides valuable insight into user behavior and integrates well with G Suite
The sampling of data is definitely a pain point since we don't have an actual understanding of the data. Since the tool is free, I believe Google is optimizing costs by sampling data and providing us with a fairly accurate view of our site analytics. The mobile aspect of Google Analytics is quite complex to integrate using their SDKs. The web is much easier to integrate with a simple script to add in the header. I would love to see an auto event capture mechanism, like Mixpanel or Heap, so that the setting up of the analytics becomes easier.
Anil Kumar Shrestha - PeerSpot reviewer
Helps to debug issues quickly
We've been using Heap for some time, mainly to understand how users interact with our application and identify the most important features. Our product owner finds it valuable for this purpose. As a QA team, we use Heap's session replay and event capture features to debug issues our customer support team reported. When a support ticket comes in about a bug or issue, we review the session replay and event logs to see how the user encountered the problem and where the error occurred. This has been helpful for us. What I like best about it is the session replay feature. It saves a lot of time. I don't need to go and debug or replicate issues multiple times. We can go to the session replay for a few minutes. We can ask when the issue occurred, go to that time in the replay, and see whether the user made a mistake or if there's an app caching issue. That has been very helpful. I can describe how data visualization tools have impacted our decision-making process from a QA perspective. These tools have helped show us how users are interacting with our product. This allows us to focus on creating more user-centric test cases. We can see which features are used most and focus our testing efforts there. However, for more detailed information about data-centric decision-making, it would be best to contact our product owner. We're primarily using these tools for test case development and to guide our development process. Before using the tool, we faced challenges when clients reported bugs. It was hard to replicate issues because clients didn't share exactly how they used our application. It would take us one or two days to replicate the problem four or five times. This was frustrating for us. After integrating the solution's analytics, we bought their session review feature. This was very helpful for debugging. We could check exactly what the client did, making it much easier to reproduce and fix issues. It significantly improved our ability to respond to bug reports.
VikasAgarwal - PeerSpot reviewer
Simplify data management and analysis and offers built-in integrations for many data sources and destinations, reducing effort required for custom integrations
The main challenge is that the SDKs are pretty similar across programming languages, and they're not super flexible. They might not support certain use cases. It has a set of functions that work well if they fit your needs, but if you need something custom, you can't rely on the SDKs and have to use recipes. And using those recipes extensively isn't ideal. For example, we were getting leads from the D2C application, sending them to Segment, and then from Segment to HubSpot. If Segment could mimic HubSpot's API, we could leverage HubSpot's SDK capabilities even through Segment. But Segment's API is generic, so it doesn't do anything tailored to HubSpot. As a product designer, I know that would be hard to accomplish anyway. It's not a criticism, because I would probably design it the same way. But as a consumer, I don't care how it's designed; I care if it fits my use case. If not, how much effort will it take to make it work? That was the challenging part. It took a lot of time to integrate Segment and make it communicate with HubSpot in a certain way. So, the challenge is the lack of flexibility in the SDKs, given the capabilities of the destinations. From my experience, it's mostly fine. It could benefit from more customization capabilities. The product itself is good, but it would be awesome if it allowed you to write your own extensions to augment the CDP's capabilities. And another suggestion. It's not about a missing feature, but rather something Segment is doing that I personally don't think a CDP should do. It's like a mobile phone you use for watching videos, listening to music, and making calls. But to be a good mobile phone, you need to be the best at making and receiving calls, and texting. Everything else is a distraction. Instead of optimizing for those distractions, you should solidify the basics. To illustrate this, Segment has many capabilities that overlap with things like CRMs, campaign management systems, tracking systems, and so on. These capabilities can give a small startup a real kick-start, but as you scale, the capabilities other than the core CDP features don't scale as well. For example, it does campaign management, but it's not really a full-fledged campaign management system. When you're starting out, it's fine, it's great, it fits almost all your use cases. But as you grow from a two-person organization to a 300-person organization, you'll have to deal with more complexity. You'll likely need to look for a dedicated campaign management system and integrate it with Segment. Now, if you've been using Segment's campaign management for a long time, moving that part to a different system will be a roadblock.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"As an SEO and digital marketing professional, the two features I have found the most valuable about Google Analytics are the Acquisition tracking and the Goal tracking."
"Our organization has improved because we have solid data that we can use to analyze the impact of our public policies."
"With Google Analytics, we obtain different metrics from all of the clients that enter our web environment."
"The User Explorer is a definite favorite because it allows us to pinpoint a user and check their entire journey through our website including all the events triggered and the pages visited."
"It is packed with many of the same reports you'll find in high-priced solutions, especially concerning data relating to real-time visitor tracking."
"An immensely useful feature is the retention graphs with the ability to generate retention data for individual features."
"What I like best about it is the session replay feature. It saves a lot of time. I don't need to go and debug or replicate issues multiple times. We can go to the session replay for a few minutes. We can ask when the issue occurred, go to that time in the replay, and see whether the user made a mistake or if there's an app caching issue. That has been very helpful."
"Heap enables one to easily track how customers use one's applications on both the web and mobile."
"You can track customer behavior with your project, such as how the customer envisions, navigates, uses CPA, and every touch point on the website. You can plan to optimize the phases and the customer behavior of the journey."
"The initial setup process was straightforward."
"With its ability to easily define user events, one can easily detect how one can better optimize one's product to drive better retention and feature use."
"Discerning application and UX weak points, driving better user retention."
"The reporting has helped improve investor relations and let us quantify our growth and progress with ease."
"I like the straightforward way of connecting with various data sources and destinations. That's the most valuable feature. It has built-in integrations for a lot of them, so the overall effort required for integrations is relatively low."
 

Cons

"They can improve their Android app."
"An area where I would like to see improvement in Google Analytics is the auto-syncing of functions in Google Tag Manager into Goal tracking."
"Beginner users access the live help section a lot, because of how confusing it is, so it would not be bad if the function was located within the administration section."
"The sampling of data is definitely a pain point since we don't have an actual understanding of the data."
"Sometimes, the statistics are not updated in real-time and it takes a little time. There are pages where it updates faster than others."
"If you do not use JavaScript, you will be invisible to Google Analytics. If you have the option of JavaScript disabled in your browsers, you will be invisible to the data, since the tool will not be able to register you."
"Based on my experience, there's some room for improvement. The application is a bit slow. Also, I must read through old documentation when I need to check for new features. It's not very user-friendly. Once you're in the application, it's easy because it has many features. But for first-time users, you have to go through all the documents, which can be challenging."
"It's more expensive."
"The product could benefit from more advanced UI features."
"Their analytics could be more user-friendly."
"The challenge is the lack of flexibility in the SDKs, given the capabilities of the destinations."
 

Pricing and Cost Advice

"The installation cost is really low and does not require a team with a super performance to run."
"The solution is expensive."
"Heap's pricing can be heavy according to the usage and requirements for control billing."
"The pricing was on the higher side but it wasn't excessively high."
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Top Industries

By visitors reading reviews
Computer Software Company
16%
Financial Services Firm
15%
Educational Organization
12%
Insurance Company
9%
Insurance Company
19%
Computer Software Company
17%
Financial Services Firm
11%
Real Estate/Law Firm
9%
Computer Software Company
18%
Financial Services Firm
9%
Retailer
7%
Media Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
 

Questions from the Community

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What is your experience regarding pricing and costs for Heap?
It's pretty costly, and they use the common model of impressions. It's impression-based pricing, which can be costly ...
What needs improvement with Heap?
From a user perspective, customizing the interface could offer more flexibility. Customizing and branding the visuals...
What advice do you have for others considering Heap?
Heap is quite user-friendly, featuring a primarily no-code interface for primary stakeholders. Some technical skills ...
What do you like most about Segment?
I like the straightforward way of connecting with various data sources and destinations. That's the most valuable fea...
What is your experience regarding pricing and costs for Segment?
The pricing was on the higher side but it wasn't excessively high. It's definitely not tailored for the smallest busi...
What needs improvement with Segment?
The main challenge is that the SDKs are pretty similar across programming languages, and they're not super flexible. ...
 

Comparisons

 

Also Known As

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Overview

 

Sample Customers

Air Show Buzz, AlfaStrakhovanie, Amari, Global Tech LED, Klarna, La Tienda, Nissan Motor Company, Rasmussen College, Shoes of Prey, Twiddy
Zendesk, Marketo, Ernst & Young, Salesforce
Nokia, rdio, Bonobos, LiveNation, Atlassian
Find out what your peers are saying about Snowflake Computing, Amplitude, Matomo and others in Web Analytics. Updated: May 2025.
853,960 professionals have used our research since 2012.