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Google Analytics

Enterprise-class web analytics.
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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
67086 companies reportedly use Google Analytics in their tech stacks, including Airbnb, Uber, and Spotify.

Developers
18060 developers on StackShare have stated that they use Google Analytics.

Google Analytics Integrations

CloudFlare, Google Tag Manager, Optimizely, Segment, and Gatsby are some of the popular tools that integrate with Google Analytics. Here's a list of all 122 tools that integrate with Google Analytics.

Why developers like Google Analytics?

Here’s a list of reasons why companies and developers use Google Analytics
Private Decisions at about Google Analytics
Private to your company

Here are some stack decisions, common use cases and reviews by members of with Google Analytics in their tech stack.

명훈 안
명훈 안
Manager at Software in Life · | 1 upvotes · 21 views
Kubernetes
Kubernetes
Google Analytics
Google Analytics

Kubernetes Google Analytics

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Google Analytics
Google Analytics

To keep track of who is visiting the site. Google Analytics

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Lee Munroe
Lee Munroe
Google Analytics
Google Analytics

Metrics and insights. Google Analytics

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James Wallace
James Wallace
at James Wallace · | 1 upvotes · 0 views
Google Analytics
Google Analytics

Broad Use Google Analytics

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Google Analytics
Google Analytics
Chartio
Chartio

Most companies use Google Analytics via the web interface. And although it packs a lot of power and features, it still lacks integration with all other data sources. You can hook Search Console and Adwords but that would be it. However, there is a way you can tap into Google Analytics and overlap it with any other data source you have - from your backend or any other tool you might use. And that is by using the Google Analytics API. Lots of people are familiar with its existence but few are using it. The decision to move and use Google API was based on the shortcomings of the web interface and the ability to collaborate using the same data set, the same view.

So combining Chartio for a good sharable view with Google Analytics API and all the other data we have ( semrush, oncrawl and backend data from several sources) provides a quick view on the KPI we care about and a common view that can be discussed easily - especially for remote teams.

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Google Analytics
Google Analytics

Helps to check out what are visitors looking for and where the UI experience needs to be improved. Google Analytics

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Public Decisions about Google Analytics

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

Alex Step
Alex Step
CEO at Hivecode · | 15 upvotes · 29.8K views
atHivecode.ioHivecode.io
Google Analytics
Google Analytics
Slack
Slack

We used to use Google Analytics to get audience insights while running a startup and we are constantly doing experiments to lear our users. We are a small team and we have a lack of time to keep up with trends. Here is the list of problems we are experiencing: - Analytics takes too much time - We have enough time to regularly monitor analytics - Google Analytics interface is too advanced and complicated - It's difficult to detect anomalies and trends in GA

We considered other solutions on a market, but found 2 main issues: - The solution created for analytic experts - The solution is pretty expensive and non-automated

After learning this fact we decided to create AI-powered Slack bot to analyze Google Analytics and share trends. The bot is currently working and highlights trends for us.

We are thinking about publishing this solution as a SaaS. If you are interested in automating Google Analytics analysis, drop a comment and you'll get an early access.

We will implement this solution only if we have 20+ early adaptors. Leave a message with your thought. I appreciate any feedback.

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Tim Specht
Tim Specht
‎Co-Founder and CTO at Dubsmash · | 14 upvotes · 335.4K views
atDubsmashDubsmash
Google Analytics
Google Analytics
Amazon Kinesis
Amazon Kinesis
AWS Lambda
AWS Lambda
Amazon SQS
Amazon SQS
Google BigQuery
Google BigQuery
#ServerlessTaskProcessing
#GeneralAnalytics
#RealTimeDataProcessing
#BigDataAsAService

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 · | 14 upvotes · 26.4K views
atDubsmashDubsmash
Pushwoosh
Pushwoosh
Google Analytics
Google Analytics
#WebPushNotifications
#Analytics
#GeneralAnalytics
#Communications

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
Laravel
Laravel
PhpStorm
PhpStorm
Google Analytics
Google Analytics
Sass
Sass
HTML5
HTML5
JavaScript
JavaScript
Vue.js
Vue.js
Webpack
Webpack
Buddy
Buddy
nginx
nginx
Ubuntu
Ubuntu
GitHub
GitHub
Git
Git
Deployer
Deployer
CloudFlare
CloudFlare
Let's Encrypt
Let's Encrypt
Stripe
Stripe
Asana
Asana
Bulma
Bulma
PHP
PHP
#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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Tom Klein
Tom Klein
CEO at Gentlent · | 11 upvotes · 198K views
atGentlentGentlent
Google Analytics
Google Analytics
Postman
Postman
Stack Overflow
Stack Overflow
Google Drive
Google Drive
Google Maps
Google Maps
CloudFlare
CloudFlare
Stripe
Stripe
PayPal
PayPal
Twilio
Twilio
Let's Encrypt
Let's Encrypt
TensorFlow
TensorFlow

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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Omid Farhang
Omid Farhang
Sr. Full Stack Developer · | 11 upvotes · 103.8K views
HTML5
HTML5
Bootstrap
Bootstrap
gulp
gulp
GitHub Pages
GitHub Pages
GitHub
GitHub
JavaScript
JavaScript
Google Analytics
Google Analytics

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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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 Followers
17491 developers follow Google Analytics to keep up with related blogs and decisions.
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