Software Alternatives, Accelerators & Startups

Segment VS Google Analytics 360 Suite

Compare Segment VS Google Analytics 360 Suite and see what are their differences

Segment logo Segment

We make customer data simple.

Google Analytics 360 Suite logo Google Analytics 360 Suite

Enterprise analytics for your marketing.
  • Segment Landing page
    Landing page //
    2023-10-08
  • Google Analytics 360 Suite Landing page
    Landing page //
    2021-09-26

Segment

Release Date
2011 January
Startup details
Country
United States
State
California
Founder(s)
Calvin French-Owen
Employees
500 - 999

Segment features and specs

  • Data Integration
    Segment allows you to integrate data from multiple sources such as websites, mobile apps, servers, cloud services, etc., enabling a comprehensive data ecosystem.
  • Ease of Use
    Segment provides a user-friendly interface and documentation, making it easy for technical and non-technical users to set up and manage data pipelines.
  • Real-time Data
    Segment offers real-time data processing, ensuring that your analytics and other data-driven operations are as up-to-date as possible.
  • Scalability
    Segment is designed to scale with your business needs, accommodating increasing data volumes and new data sources without extensive reconfiguration.
  • Security and Compliance
    Segment provides robust security features and compliance with regulations like GDPR and CCPA, ensuring your data is protected and handled responsibly.
  • Extensive Integrations
    Segment supports a wide range of integrations with popular tools and platforms like Google Analytics, Facebook Ads, AWS, and more, making it versatile for different business needs.

Possible disadvantages of Segment

  • Cost
    Segment can be expensive, particularly for small businesses or startups, as its pricing scales with the volume of data and number of integrations.
  • Complexity in Advanced Use
    For more advanced functionalities, there may be a steep learning curve. Advanced configurations and custom integrations can be complex to implement and manage.
  • Dependency on Third-party Integrations
    Segment's functionality relies heavily on third-party integrations. If any of these integrations face issues, it can disrupt your data flow.
  • Setup Time
    Initial setup and configuration of Segment can be time-consuming, particularly for businesses with complex data pipelines and numerous data sources.
  • Limited Customization
    While Segment offers a wide range of integrations, the ability to customize these integrations may be limited compared to building custom solutions in-house.

Google Analytics 360 Suite features and specs

  • Comprehensive Data Integration
    Google Analytics 360 Suite offers robust integration with other Google products such as Google Ads, Google Cloud, and BigQuery, providing a comprehensive data ecosystem for marketers to analyze user behavior across platforms.
  • Advanced Analysis Features
    The suite provides advanced analysis features, including custom funnels, advanced segmentation, and unsampled data reports, which allow for deeper insights and more accurate data-driven decisions.
  • Scalability
    Google Analytics 360 is designed to handle enterprise-level data volumes, making it suitable for large businesses with a high volume of website and app traffic.
  • Enhanced Support and SLAs
    Enterprise users benefit from dedicated support and service level agreements (SLAs), ensuring timely assistance and data availability, which is critical for business continuity.
  • Custom Reporting
    Customized reporting options allow users to create reports that cater specifically to their business needs, enhancing the actionable insights derived from data.

Possible disadvantages of Google Analytics 360 Suite

  • High Cost
    Google Analytics 360 can be prohibitively expensive for small to medium-sized businesses, as it is designed for enterprise-level clients and comes with a premium price tag.
  • Complexity
    The advanced features and capabilities of Google Analytics 360 can be complex to implement and manage, requiring specialized personnel or training to utilize effectively.
  • Steep Learning Curve
    The platform's extensive functionalities and tools may present a steep learning curve for new users or those unfamiliar with advanced analytics platforms.
  • Privacy Concerns
    As with any analytics platform that handles large volumes of data, there can be privacy concerns related to data collection and user consent, especially in regions with stringent data protection regulations.
  • Dependency on Google Ecosystem
    The platform's deep integration with the Google ecosystem can be a downside for businesses that use a diverse range of tools and services, leading to potential vendor lock-in.

Analysis of Segment

Overall verdict

  • Yes, Segment is considered a good tool for businesses looking to unify their customer data across various platforms.

Why this product is good

  • Data Aggregation: Segment efficiently aggregates customer data from multiple sources, providing a unified view for businesses.
  • Integrations: It offers seamless integration with hundreds of different marketing, analytics, and data warehouse tools.
  • Ease of Use: Segment is known for its user-friendly interface and robust documentation, making it accessible even for non-technical users.
  • Scalability: Whether you're a startup or an enterprise, Segment is designed to handle data at scale.

Recommended for

  • Businesses looking to unify customer data across various platforms
  • Companies needing a central hub for analytics tools
  • Marketing teams wanting better data insights
  • Developers needing an efficient way to manage customer data tracking

Segment videos

What is Segment? How to Implement and Use It.

More videos:

  • Review - What's In My Bag: Chrome Industries MXD Segment

Google Analytics 360 Suite videos

No Google Analytics 360 Suite videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Segment and Google Analytics 360 Suite)
Analytics
62 62%
38% 38
Web Analytics
53 53%
47% 47
Data Integration
100 100%
0% 0
Heatmaps
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Segment and Google Analytics 360 Suite

Segment Reviews

7 best Mixpanel alternatives to understand your users
This makes Segment particularly useful for companies with complex data ecosystems, or those who need a unified data platform for a consistent customer view across different departments. If you're more about strong data unification rather than detailed behavioral analysis, Segment might be a good tool alternative to Mixpanel.
Source: www.hotjar.com
Top 10 Fivetran Alternatives - Listing the best ETL tools
Acquired by Twilio in 2020, Segment is a Customer Data Platform (CDP) that offers real-time data connectivity and efficient data. Segment's core focus is gathering customer data through event tracking. It has unique features that allow you to segment your customers, and create personas and audiences for better targeting.
Source: weld.app
Top ETL Tools For 2021...And The Case For Saying "No" To ETL
Segmentโ€™s API has native library sources for every language, and helps record customer data from sources such as websites, mobile, apps or servers. It helps optimize analytics by piping raw customer data into data warehouses for further exploration and advanced analysis.
Source: blog.panoply.io

Google Analytics 360 Suite Reviews

We have no reviews of Google Analytics 360 Suite yet.
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Social recommendations and mentions

Based on our record, Segment seems to be a lot more popular than Google Analytics 360 Suite. While we know about 45 links to Segment, we've tracked only 1 mention of Google Analytics 360 Suite. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Segment mentions (45)

  • The Definitive Guide to Braze API
    Twilio Segment: Specializes in customer data collection with a more neutral stance toward destination platforms. Its API allows flexible data routing across your tech stack without being tied to specific engagement channels. - Source: dev.to / 6 months ago
  • API Analytics: A Strategic Toolkit for Optimization
    To collect these metrics effectively, you'll need specialized tools like Google Analytics, Mixpanel, Segment, or Amplitude. - Source: dev.to / 6 months ago
  • Unlocking API Potential: Behavioral Analytics for Enhanced User Experience
    Segment for event collection and routing. - Source: dev.to / 7 months ago
  • My 2024 Good Links List
    Segment โ€“ Customer data platform for tracking and analytics. - Source: dev.to / 10 months ago
  • Networking cant be easier than this
    And importantly the user data: like the signup, login events, message events back and forth between the user and AI, page visits etc are tracked with the help of Twilio segment. - Source: dev.to / over 1 year ago
View more

Google Analytics 360 Suite mentions (1)

  • Adguard Home not actually filtering
    No error for that link it simply takes me to https://marketingplatform.google.com/about/enterprise/. Source: over 2 years ago

What are some alternatives?

When comparing Segment and Google Analytics 360 Suite, you can also consider the following products

Google Analytics - Improve your website to increase conversions, improve the user experience, and make more money using Google Analytics. Measure, understand and quantify engagement on your site with customized and in-depth reports.

Glass Analytics - Google Analytics alternative that shows you exactly how visitors become customers.

Matomo - Matomo is an open-source web analytics platform

Adobe Analytics - Adobe Analytics is an industry-leading solution that empowers you to understand your customers as people and steer your business with customer intelligence.

Mixpanel - Mixpanel is the most advanced analytics platform in the world for mobile & web.

Fathom Analytics - Simple, trustworthy website analytics (finally)