GA Insights – Never Log into Google Analytics Again
Hey HN! 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…
What it does
In the maker’s words, at launch
Hey HN! 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.
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