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  5. Google Analytics vs Plausible

Google Analytics vs Plausible

OverviewComparisonAlternatives

Overview

Google Analytics
Google Analytics
Stacks128.5K
Followers50.7K
Votes5.1K
Plausible
Plausible
Stacks100
Followers60
Votes10

Google Analytics vs Plausible: What are the differences?

Introduction

Google Analytics and Plausible are both popular web analytics tools that provide insights about website traffic and user behavior. However, there are several key differences between the two. This article aims to highlight the main distinctions to help individuals choose the right analytics tool for their needs.

  1. Pricing model: Google Analytics offers a freemium model where users can access a basic set of features for free, but need to pay for advanced features and higher data limits. In contrast, Plausible operates on a paid subscription model, where users pay a fixed fee based on the amount of monthly page views their website receives.

  2. Data privacy and ownership: With Google Analytics, the data captured from websites is owned and controlled by Google. Plausible, on the other hand, prioritizes data privacy and provides complete ownership and control of the data to the website owners. The data is stored securely and not shared with any third parties.

  3. Ease of use: Google Analytics has a more complex and comprehensive interface, offering a wide range of features and customization options. Plausible, on the other hand, focuses on simplicity and provides an intuitive user interface, making it easier for users to navigate and quickly access the most relevant information.

  4. Third-party cookies: While Google Analytics utilizes third-party cookies for tracking user behavior across different websites, Plausible does not rely on any cookies. Plausible uses a cookieless tracking approach, making it more privacy-friendly and compliant with the latest regulations and policies concerning cookies.

  5. Open-source nature: Plausible is an open-source web analytics tool, meaning that its source code is publicly available for users to review and contribute to. This transparency allows users to have more control and trust in the tool's functionality and security. Google Analytics, on the other hand, is a proprietary software with limited visibility into its inner workings.

  6. Real-time data: Google Analytics provides near-real-time data, with a delay of a few minutes. However, Plausible takes real-time data to the next level by providing instant and truly real-time data, allowing website owners to monitor their traffic and make informed decisions without any delay.

In summary, the key differences between Google Analytics and Plausible lie in their pricing models, data privacy and ownership, ease of use, cookie usage, open-source nature, and real-time data capabilities. Understanding these distinctions will help users make an informed decision when choosing a web analytics tool.

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Detailed Comparison

Google Analytics
Google Analytics
Plausible
Plausible

Google Analytics lets you measure your advertising ROI as well as track your Flash, video, and social networking sites and applications.

It is a lightweight and open-source website analytics tool. It doesn’t use cookies and is fully compliant with GDPR, CCPA and PECR.

Analysis Tools- Google Analytics is built on a powerful, easy to use, reporting platform, so you can decide what data you want to view and customize your reports, with just a few clicks.;Content Analytics- Content reports help you understand which parts of your website are performing well, which pages are most popular so you can create a better experience for your customers.;Social Analytics- The web is a social place and Google Analytics measures success of your social media programs. You can analyze how visitors interact with sharing features on your site (like the Google +1 button) and engage with your content across social platforms.;Mobile Analytics- Google Analytics helps you measure the impact of mobile on your business. Additionally, if you build mobile apps Google Analytics offers Software Development Kits for iOS and Android so you can measure how people use your app.;Conversion Analytics- Find out how many customers you're attracting, how much you're selling and how users are engaging with your site with Google Analytics' range of analysis features.;Advertising Analytics- Make the most of your advertising by learning how well your social, mobile, search and display ads are working. Link your website activity to your marketing campaigns to get the complete picture and improve your advertising performance.
Check website traffic and site analytics in 1 minute; Lightweight script which keeps your site speed fast; Doesn’t track nor collect any personal data; No cookie banners or GDPR/CCPA consent needed; Define key goals and track conversions; Get weekly or monthly reports directly into your inbox; Open your web analytics to everyone; Share the stats privately with your clients
Statistics
Stacks
128.5K
Stacks
100
Followers
50.7K
Followers
60
Votes
5.1K
Votes
10
Pros & Cons
Pros
  • 1483
    Free
  • 927
    Easy setup
  • 891
    Data visualization
  • 698
    Real-time stats
  • 406
    Comprehensive feature set
Cons
  • 11
    Confusing UX/UI
  • 8
    Super complex
  • 6
    Very hard to build out funnels
  • 4
    Poor web performance metrics
  • 3
    Very easy to confuse the user of the analytics
Pros
  • 4
    Lightweight (<1kB)
  • 4
    Privacy Oriented
  • 2
    Easy to implement
Integrations
Mad Mimi
Mad Mimi
Hipmob
Hipmob
Visual Website Optimizer
Visual Website Optimizer
Squarespace
Squarespace
ClickTale
ClickTale
CloudFlare
CloudFlare
Segment
Segment
Optimizely
Optimizely
FreshDesk
FreshDesk
SnapEngage
SnapEngage
No integrations available

What are some alternatives to Google Analytics, Plausible?

Mixpanel

Mixpanel

Mixpanel helps companies build better products through data. With our powerful, self-serve product analytics solution, teams can easily analyze how and why people engage, convert, and retain to improve their user experience.

Piwik

Piwik

Matomo (formerly Piwik) is a full-featured PHP MySQL software program that you download and install on your own webserver. At the end of the five-minute installation process, you will be given a JavaScript code.

Clicky

Clicky

Clicky Web Analytics gives bloggers and smaller web sites a more personal understanding of their visitors. Clicky has various features that helps stand it apart from the competition specifically Spy and RSS feeds that allow web site owners to get live information about their visitors.

Databricks

Databricks

Databricks Unified Analytics Platform, from the original creators of Apache Spark™, unifies data science and engineering across the Machine Learning lifecycle from data preparation to experimentation and deployment of ML applications.

userTrack

userTrack

userTrack is now called UXWizz. Get access to better insights, a faster dashboard and increase user privacy. It provides detailed visitor insights without relying on third-parties.

Quickmetrics

Quickmetrics

It is a service for collecting, analyzing and visualizing custom metrics. It can be used to track anything from signups to server response times. Sending events is super simple.

Matomo

Matomo

It is a web analytics platform designed to give you the conclusive insights with our complete range of features. You can also evaluate the full user-experience of your visitor’s behaviour with its Conversion Optimization features, including Heatmaps, Sessions Recordings, Funnels, Goals, Form Analytics and A/B Testing.

Maze

Maze

Maze empowers product and marketing teams to test anything from prototypes to copy, or round up user feedback—all in one place. Rapidly collect user insights across teams and create better user experiences, together.

Ackee (Analytics)

Ackee (Analytics)

Self-hosted, Node.js based analytics tool for those who care about privacy. Ackee runs on your own server, analyses the traffic of your websites and provides useful statistics in a minimal interface.

Volument

Volument

Volument is a new take on analytics: it focuses solely on conversion optimization and leaves out everything else. To be launched in 2020, it aims to change the way people measure and optimize their websites.

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