What is Google Analytics?

Google Analytics lets you measure your advertising ROI as well as track your Flash, video, and social networking sites and applications.
Google Analytics is a tool in the General Analytics category of a tech stack.

Who uses Google Analytics?

Companies
15292 companies use Google Analytics in their tech stacks, including Google, medium.com, and Slack.

Developers
2375 developers use Google Analytics.

Google Analytics Integrations

CloudFlare, Optimizely, Segment, Google Tag Manager, and Gatsby are some of the popular tools that integrate with Google Analytics. Here's a list of all 57 tools that integrate with Google Analytics.

Why developers like Google Analytics?

Here’s a list of reasons why companies and developers use Google Analytics
Google Analytics Reviews

Here are some stack decisions, common use cases and reviews by companies and developers who chose Google Analytics in their tech stack.

Tim Specht
Tim Specht
‎Co-Founder and CTO at Dubsmash · | 14 upvotes · 6.7K views
atDubsmash
Google BigQuery
Amazon SQS
AWS Lambda
Amazon Kinesis
Google Analytics
#BigDataAsAService
#RealTimeDataProcessing
#GeneralAnalytics
#ServerlessTaskProcessing

In order to accurately measure & track user behaviour on our platform we moved over quickly from the initial solution using Google Analytics to a custom-built one due to resource & pricing concerns we had.

While this does sound complicated, it’s as easy as clients sending JSON blobs of events to Amazon Kinesis from where we use AWS Lambda & Amazon SQS to batch and process incoming events and then ingest them into Google BigQuery. Once events are stored in BigQuery (which usually only takes a second from the time the client sends the data until it’s available), we can use almost-standard-SQL to simply query for data while Google makes sure that, even with terabytes of data being scanned, query times stay in the range of seconds rather than hours. Before ingesting their data into the pipeline, our mobile clients are aggregating events internally and, once a certain threshold is reached or the app is going to the background, sending the events as a JSON blob into the stream.

In the past we had workers running that continuously read from the stream and would validate and post-process the data and then enqueue them for other workers to write them to BigQuery. We went ahead and implemented the Lambda-based approach in such a way that Lambda functions would automatically be triggered for incoming records, pre-aggregate events, and write them back to SQS, from which we then read them, and persist the events to BigQuery. While this approach had a couple of bumps on the road, like re-triggering functions asynchronously to keep up with the stream and proper batch sizes, we finally managed to get it running in a reliable way and are very happy with this solution today.

#ServerlessTaskProcessing #GeneralAnalytics #RealTimeDataProcessing #BigDataAsAService

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Tim Specht
Tim Specht
‎Co-Founder and CTO at Dubsmash · | 12 upvotes · 3K views
atDubsmash
Pushwoosh
Google Analytics
#Communications
#GeneralAnalytics
#Analytics
#WebPushNotifications

We used Google Analytics to track user and market growth and Pushwoosh to send out push notifications by hand to promote new content. Even though we didn’t localize our pushes at all, we added custom tags to devices when registering with the service so we could easily target certain markets (e.g. send a push to German users only), which was totally sufficient at the time.

#WebPushNotifications #Analytics #GeneralAnalytics #Communications

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Epistol
Epistol
PHP
Bulma
Asana
Stripe
Let's Encrypt
CloudFlare
Deployer
Git
GitHub
Ubuntu
nginx
Buddy
Webpack
Vue.js
JavaScript
HTML5
Sass
Google Analytics
PhpStorm
Laravel
#CDG
CDG

I use Laravel because it's the most advances PHP framework out there, easy to maintain, easy to upgrade and most of all : easy to get a handle on, and to follow every new technology ! PhpStorm is our main software to code, as of simplicity and full range of tools for a modern application.

Google Analytics Analytics of course for a tailored analytics, Bulma as an innovative CSS framework, coupled with our Sass (Scss) pre-processor.

As of more basic stuff, we use HTML5, JavaScript (but with Vue.js too) and Webpack to handle the generation of all this.

To deploy, we set up Buddy to easily send the updates on our nginx / Ubuntu server, where it will connect to our GitHub Git private repository, pull and do all the operations needed with Deployer .

CloudFlare ensure the rapidity of distribution of our content, and Let's Encrypt the https certificate that is more than necessary when we'll want to sell some products with our Stripe api calls.

Asana is here to let us list all the functionalities, possibilities and ideas we want to implement.

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Omid Farhang
Omid Farhang
Sr. Full Stack Developer · | 11 upvotes · 16.1K views
Google Analytics
JavaScript
GitHub
GitHub Pages
gulp
Bootstrap
HTML5

Developing static sites like a landing page for mobile app or just a personal resume using HTML5 and Bootstrap is a lot fun when you are using build tools like gulp . I made a personal resume using above tools and published them on GitHub Pages. It was fast and easy, Thanks to GitHub for the free service. All the JavaScript codes worked perfectly after being concat and minified and uglified by gulp and running perfectly on GitHub Pages. gulp created sitemap and inserted Google Analytics code into all pages and saved about 30% of images size by compressing them during build.

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Tom Klein
Tom Klein
CEO at Gentlent · | 9 upvotes · 8.5K views
atGentlent
TensorFlow
Let's Encrypt
Twilio
PayPal
Stripe
CloudFlare
Google Maps
Google Drive
Stack Overflow
Postman
Google Analytics

Google Analytics is a great tool to analyze your traffic. To debug our software and ask questions, we love to use Postman and Stack Overflow. Google Drive helps our team to share documents. We're able to build our great products through the APIs by Google Maps, CloudFlare, Stripe, PayPal, Twilio, Let's Encrypt, and TensorFlow.

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Justin Dorfman
Justin Dorfman
Developer Evangelist at StackShare · | 8 upvotes · 8K views
atBootstrapCDN
Ruby
Node.js
Amazon S3
MaxCDN
Google Analytics
Bootstrap
#BootstrapCDN

This is the second Stack Decision of this series. You can read the last one to catch up (link below). Bootstrap, Jacob Thornton aka @fat tweeted about #BootstrapCDN and according to Google Analytics, that sent 10k uniques to the site in 24 hours. Now I was pumped but I knew I was way over my head and needed help. Fortunately, I met my co-maintainer Josh Mervine at the 2013 O’Reilly Velocity Conference and we hit it off immediately. I showed him the MaxCDN and Amazon S3 stats and his eyebrows went up. When I showed him the code, he was very polite, “well, I mean it works but I really want to try Node.js out so I’m just going to rewrite everything in Node and Ruby for the S3 scripts.

I didn’t know what to expect from Josh, to be honest. In the next decision (part 3), I will go over how he completely transformed the project.

AMA below 👇

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Google Analytics's features

  • 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.

Google Analytics Alternatives & Comparisons

What are some alternatives to Google Analytics?
Mixpanel
Mixpanel is an advanced analytics service that helps improve web and mobile applications by tracking how users interact & engage with them.
Piwik
Piwik is a full featured PHP MySQL software program that you download and install on your own webserver. Piwik aims to be a Free software alternative to Google Analytics, and is already used on more than 1,000,000 websites. Privacy is built-in!
Google Tag Manager
Tag Manager gives you the ability to add and update your own tags for conversion tracking, site analytics, remarketing, and more. There are nearly endless ways to track user behavior across your sites and apps, and the intuitive design lets you change tags whenever you want.
Amplitude
Amplitude provides scalable mobile analytics that helps companies leverage data to create explosive user growth. Anyone in the company can use Amplitude to pinpoint the most valuable behavioral patterns within hours.
Heap
Heap automatically captures every user action in your app and lets you measure it all. Clicks, taps, swipes, form submissions, page views, and more. Track events and segment users instantly. No pushing code. No waiting for data to trickle in.
See all alternatives

Google Analytics's Stats

- No public GitHub repository available -