Google Analytics

Google Analytics

Utilities / Analytics / General Analytics
Avatar of tspecht
鈥嶤o-Founder and CTO at Dubsmash

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鈥檚 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鈥檚 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

READ MORE
Dubsmash: Scaling To 200 Million Users With 3 Engineers - Dubsmash Tech Stack | StackShare (stackshare.io)
14 upvotes156.8K views
Avatar of tspecht
鈥嶤o-Founder and CTO at Dubsmash

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鈥檛 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

READ MORE
Dubsmash: Scaling To 200 Million Users With 3 Engineers - Dubsmash Tech Stack | StackShare (stackshare.io)
14 upvotes20.7K views
Avatar of devpartorg
CEO at Hivecode

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.

READ MORE
13 upvotes2 comments13.5K views
Avatar of Epistol
Epistol.fr
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.

READ MORE
11 upvotes1 comment404.2K views
Avatar of tomklein
CEO at Gentlent

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.

READ MORE
11 upvotes138.4K views
Avatar of omidfarhang
Sr. Full Stack Developer

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.

READ MORE
11 upvotes2 comments83.3K views

This is my stack in Application & Data

JavaScript PHP HTML5 jQuery Redis Amazon EC2 Ubuntu Sass Vue.js Firebase Laravel Lumen Amazon RDS GraphQL MariaDB

My Utilities Tools

Google Analytics Postman Elasticsearch

My Devops Tools

Git GitHub GitLab npm Visual Studio Code Kibana Sentry BrowserStack

My Business Tools

Slack

READ MORE
10 upvotes1 comment397.8K views
Avatar of jdorfman
Developer Evangelist at StackShare

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鈥橰eilly 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, 鈥渨ell, I mean it works but I really want to try Node.js out so I鈥檓 just going to rewrite everything in Node and Ruby for the S3 scripts.

I didn鈥檛 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 馃憞

READ MORE
Justin Dorfman's Stack Decision | StackShare (stackshare.io)
9 upvotes62.1K views
Avatar of roman_eaton
Product Manager at Carrrot

We chose Webflow to build up websites faster and to make possible for particular employees to fix some misspellings or add an easy element to the page on their own - it is like Adobe Photoshop. To work with the incoming traffic we use our own product, that I can't pin here. It helps to make nurture visitors from the first session into the signing up and further activation into the product. In addition to @Carrrot we use Google Analytics to traffic source awareness, to monitor customers inside the product FullStory helps is a lot with its fury clicking and abandoned links. Activation and retention are done by our own product through the pop-ups, live chat, and emails that all based on customer behavior.

READ MORE
caRRRot.io | Customer conversational and marketing platform (carrrot.io)
8 upvotes27.5K views
Avatar of johnnyxbell
Senior Software Engineer at StackShare

For any project that anyone creates these days (myself included) you want to see how many visitors your site gets, where they come from, what they clicked etc. The easiest and cheapest way to do this is obviously Google Analytics I think that 99% of websites out there have Google Analytics embedded into their code.

I am no different, I wanted to see how the users were getting to my site, what they clicked, how long they were on there for etc. etc. So I added Google Analytics to my site too... Which was really cool and free, but the longer I used Google Analytics I felt that I wanted more insight. Like what if I could actually see how users interacted with my site.

I came across FullStory and this is exactly what I wanted, it will record all your user sessions and you get to replay them in full. So you can see exactly how a user uses your site, what they click, and see if your site might benefit from some A/B tests or changes. - I am on the free plan, so it doesn't need to cost you a fortune.

Both Google Analytics and FullStory allow you to login with your G Suite account which helps you keep your accounts all linked.

With FullStory and Google Analytics I feel that I have the perfect insight into how the users are using my site, and all the analytics around how they get there. Its a perfect combo

READ MORE
6 upvotes52.9K views