Loops is a no-code platform that empowers product and data managers to maximize conversion, retention and other KPIs. Instead of more dashboards, it leverages causal AI models to proactively identify insights hidden across their data.
A long-time Loops enthusiast here!
I've been using Loops daily for the past year, and it has significantly enhanced various aspects of my work as a product analytics group leader. Loops makes it easy to track the health of our main KPIs, alerting us to any anomalies with detailed explanations of the drivers behind each one. It validates and analyzes our AB tests enabling us to harness the power of Bayesian AB testing. We also rely on Loops for product research questions, seeking causality in existing features, and understanding feature performance across different customer segments.
The list goes on and on, keep on building a great product and good luck!
@yan_yanko Sure. It's a no-code integration. We connect to your analytics solution (like Amplitude, Mixpanel, Amplitude,etc) or data warehouse and map out the data automatically. Then you define your KPIs. On average, the integration takes a few hours. And we run in your environment: We don't store the data, and you don't send us the data, which makes it easier from a privacy/security perspective.
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@yan_yanko Thanks for the question! @tom_laufer1 has you covered on how straightforward and fast it is to connect your data to Loops.Thank you for asking and for your interest in Loops🙏
Congrats on the launch.
Could it identify statistically nonsignificant data? From my experience product managers could push analytics for dashboards when there are no useful data, and try to deduce insight from it, even though it's impossible.
@hr6134 If there is not enough data, we'll surface that there are non-significant results. We do use different methods to minimize the amount of data needed to produce these insights, but you're right that there is not enough data sometimes and it's just noise, and we mark that.
@hr6134 This is a great point, I think as humans we see connections even when the data doesn't support it - this is why it's important to us to always add a statistical test to any analysis in the platform, protect from small sample sizes and in general help you translate your business question into an analysis that will actually answer the question (so many times even with enough data you can get the wrong conclusion by just phrasing the question in the wrong way).
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💎 Pixel perfection
Congratulations on the launch of Loops on Product Hunt! This innovative platform looks like a game-changer in the world of product analytics, leveraging causal AI models to uncover valuable insights hidden in your data. I'm excited to see how Loops can help product and data teams maximize their key metrics and drive growth. Great work to the entire Loops team!
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