Show HN: GA Insights – Never Log into Google Analytics Again
We are Patrick & Chris, bootstrapped co-founders of GA Insights (https://www.ga-insights.com) - a simple way of getting reports and alerts for your tools inside Slack and Teams. We started as a technical tool to monitor client accounts in Slack, interfacing with Microsoft Azure insights, and then pivoted to supporting business intelligence tools like Google Analytics and Google Search Console.
The idea was born out of the angst that we had experienced using disparate tools to monitor our metrics, client & to share information. Google Analytics has an ever-evolving interface that most developers would rather not spend a day getting lost in. We decided to take the primary use cases we had for Google Analytics and provide an engine to process, visualize, and ship to Slack or Teams. This gets us daily or weekly reports on metrics such as page speed, bounce rates, page engagement, and when the cart checkout breaks.
Once we started to gain some traction with clients, we extended the capacity to include other data sources like Google Search Console and Google Ads, making it simple for indie businesses and large corporations to extract the value from these reporting surfaces and send them to a channel that we use every day, like Slack or Teams. We use ML to analyze 100s of metric streams to detect anomalies in your data, and are soon expanding into providing root-cause analysis when anomalies occur.
Currently, we send 2.6k alerts per week and 3.2K scheduled reports into Slack, Teams & Email. Slack has seen the biggest uptake followed by Teams. We run on Azure, combines NoSQL, Serverless, Redis, Warehousing, and scalable architecture to deal with bursty loads (common in report scheduling).
We're launching new data sources and integrations rapidly, with Facebook, Stripe, and Zapier next on our docket.
Happy to answer any questions you might have.
https://blog.parse.ly/post/9616/shadow-traffic-why-your-traf...
Regulators will also be paying attention to this over the next few years.
I think a startup should be very aware of these risks if building off of GA.
I'd love to be proved wrong on this though.
Many of Chrome's features are implemented in Edge by replacing Google services with Microsoft ones. So for many things, Microsoft may be collecting similar data (though likely not monetizing it at all).
But the key thing is that tracking prevention: It means your browser is leaking your data around the internet significantly less. Not just less to Google, but less to almost everyone else on the Internet. Chrome, by refusing to implement tracking prevention, is pretty much a leaky ship with holes in it.
Here's Edge's implementation: https://docs.microsoft.com/en-us/microsoft-edge/web-platform...
Here's Firefox's implementation: https://support.mozilla.org/en-US/kb/enhanced-tracking-prote...
Here's Safari's implementation: https://webkit.org/blog/7675/intelligent-tracking-prevention...
Chrome has nothing. Google paid some of their staff to write a FUD piece about how preventing tracking was a privacy risk somehow.
I was coming from a position of "Why would MS remove anything instead of redirecting it to themselves", but failed to consider that they would be adding things themselves to prevent other tracking.
Microsoft's data collection and use seems primarily to be focused on telemetry for product improvement. They obviously do it in Edge too. I find it less malicious than ad targeting, but I'm strongly opposed to mandatory telemetry. And I think telemetry-driven development is a mistake that should be avoided. It dehumanizes software support and still provides incomplete information, while also violating the privacy of your users.
//https://stackoverflow.com/questions/1634748/how-can-i-delete...
Have you considered adding a hobbyist plan or 1 month trial for startups or small projects to try before buying?
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This shiny piece of software engineering at their Github account is currently commoditizing the infrastructure F500 companies would outsource to SaaS and agencies because they didn't do tech.
Last year more than half of the big companies out of Europe started moving to a brand new in-house data driven marketing team. Vodafone and Adidas are already fully operational.
It's written in Python and it seems to operate like Airflow with DAG recipes but simpler without coding.
Plug & play realtime dash-boarding in Data Studio that can visualize a ridiculous amount customization of all the data Google services produces.
https://datastudio.google.com/gallery?category=marketing
StarThinker sends out custom reporting via email of all Google ads services which even has a custom DAG rate limiter recipe named floodlight.
StarThinker supports currently more API's out of the box than you, even Smartsheets API has a custom recipe.
You can spin up a cluster with working UI in the cloud within 8 minutes.
https://google.github.io/starthinker/