Autotrack vs Google Analytics

Overview

Google Analytics

Stacks128.5K

Followers50.7K

Votes5.1K

Autotrack

Stacks86

Followers121

Votes0

GitHub Stars4.9K

Forks558

Autotrack vs Google Analytics: What are the differences?

### Introduction
When it comes to analyzing data on your website, both Autotrack and Google Analytics are popular tools that provide valuable insights. However, there are key differences between the two that can impact how you track and interpret user behavior.

1. **Setup Complexity**: Autotrack is an extension library for Google Analytics that offers advanced tracking capabilities without the need for manual code adjustments. On the other hand, Google Analytics requires manual configuration of tracking codes and tags, which can be time-consuming for users who are not familiar with coding.

2. **Customization**: Autotrack allows for greater customization of tracking parameters and events, enabling users to tailor their data collection to specific needs. Google Analytics, while robust, may be limited in customization options without additional plugins or configurations.

3. **Automatic Events**: Autotrack automatically tracks common user interactions such as scroll tracking, outbound link clicks, and form submissions, providing a more comprehensive view of user engagement. Google Analytics requires manual setup for tracking such events, potentially leading to oversight or incomplete data.

4. **Real-time Reporting**: Google Analytics offers real-time reporting features to monitor website traffic and user interactions as they happen, providing immediate insights for time-sensitive decision-making. Autotrack, being an extension of Google Analytics, leverages this real-time functionality for enhanced tracking capabilities.

5. **Integration**: Both Autotrack and Google Analytics can be seamlessly integrated with other Google tools such as Google Tag Manager, Data Studio, and Optimize, allowing for a cohesive data ecosystem that facilitates data analysis and optimization efforts.

6. **Maintenance and Updates**: Autotrack automatically updates its tracking functionalities to align with the latest changes in online user behavior and technology trends, reducing the need for manual intervention. Google Analytics also receives updates regularly but may require manual adjustments to fully utilize new features.

In Summary, Autotrack streamlines the tracking process with automated events and advanced customization options, while Google Analytics offers more manual control over tracking setup and reporting, with both tools providing integration with other Google analytics platforms.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs

CLI (Node.js)

Manual

Advice on Google Analytics, Autotrack

Dennis

Founder, Software Engineer & Product Manager at BlazingMedia

Nov 28, 2020

Decided

We have integrated Panelbear on our Website, rather than Google Analytics, because it is way more respecting of the User's Privacy. Whilst Google Analytics gives us in-depth information on virtually everything, we don't even need that much. Panelbear keeps it simple and in addition to that, displays the data well structured in a simple and intuitive dashboard

19.8k views19.8k

Comments

Detailed Comparison

Google Analytics	Autotrack
Google Analytics lets you measure your advertising ROI as well as track your Flash, video, and social networking sites and applications.	It provides default tracking for the interactions most people care about, and it provides several convenience features (e.g. declarative event tracking) to make it easier than ever to understand how people are interacting with your site.
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.	-
Statistics
GitHub Stars -	GitHub Stars 4.9K
GitHub Forks -	GitHub Forks 558
Stacks 128.5K	Stacks 86
Followers 50.7K	Followers 121
Votes 5.1K	Votes 0
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	No community feedback yet
Integrations
Mad Mimi Hipmob Visual Website Optimizer Squarespace ClickTale CloudFlare Segment Optimizely FreshDesk SnapEngage	No integrations available

What are some alternatives to Google Analytics, Autotrack?

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

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 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.

Plausible

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

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 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

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

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 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)

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.

Related Comparisons

Autotrack vs Google Analytics: What are the differences?

### Introduction
When it comes to analyzing data on your website, both Autotrack and Google Analytics are popular tools that provide valuable insights. However, there are key differences between the two that can impact how you track and interpret user behavior.

1. **Setup Complexity**: Autotrack is an extension library for Google Analytics that offers advanced tracking capabilities without the need for manual code adjustments. On the other hand, Google Analytics requires manual configuration of tracking codes and tags, which can be time-consuming for users who are not familiar with coding.

2. **Customization**: Autotrack allows for greater customization of tracking parameters and events, enabling users to tailor their data collection to specific needs. Google Analytics, while robust, may be limited in customization options without additional plugins or configurations.

3. **Automatic Events**: Autotrack automatically tracks common user interactions such as scroll tracking, outbound link clicks, and form submissions, providing a more comprehensive view of user engagement. Google Analytics requires manual setup for tracking such events, potentially leading to oversight or incomplete data.

4. **Real-time Reporting**: Google Analytics offers real-time reporting features to monitor website traffic and user interactions as they happen, providing immediate insights for time-sensitive decision-making. Autotrack, being an extension of Google Analytics, leverages this real-time functionality for enhanced tracking capabilities.

5. **Integration**: Both Autotrack and Google Analytics can be seamlessly integrated with other Google tools such as Google Tag Manager, Data Studio, and Optimize, allowing for a cohesive data ecosystem that facilitates data analysis and optimization efforts.

6. **Maintenance and Updates**: Autotrack automatically updates its tracking functionalities to align with the latest changes in online user behavior and technology trends, reducing the need for manual intervention. Google Analytics also receives updates regularly but may require manual adjustments to fully utilize new features.

Autotrack vs Google Analytics

Overview