Ben Lang

Loops - Product analytics that surface your biggest causal insights

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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.

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Ariel Kedem
Looks amazing, maybe too good ;) Tom, How do you know that your insights actually work? my number one issue with data is trust... Thanks :)
Iyar Lin
@ariel_kedem2 Hi. DS lead here. Great question. While there's never complete certainty in analytics, we at Loops have the privilege of having access to data from dozens of different companies running hundreds of A/B tests. We thus able to compare the results of our causal models with those obtained from A/B tests that were initiated by those causal analyses. You can read more about how we validate our release impact algorithm here: https://www.getloops.ai/blog/the...
Ariel Kedem
@iyarlin thanks for the reply!
Tom Laufer
@ariel_kedem2 Numbers-wise: 80% of the experiments triggered by Loops insights are successful!
Bridget Piraino
@ariel_kedem2 Definitely check out the Loops blog and the article shared by @iyarlin. Thank you so much for supporting our Hunt today!🤛
Kostya Bolshukhin
Like the hidden users' journey idea. So far analytics tools did a great job in helping users analyze data. I believe the future breakthroughs are in are of "analyzing data" that people are usually can't process or wont have time to track real-time.
Tom Laufer
@kostyabolsh 100% agree. With the amount of data currently being collected, the challenge you described is becoming harder and harder.
Bridget Piraino
@kostyabolsh Absolutely agree, the sheer volume of data today demands a better way.
Naama Ginott
Amazingly useful platform! any team looking to boost their KPIs should try this out
Tom Laufer
@naama_ginott Thanks a lot!!🔥
Liron Asulin
@naama_ginott Thank you!
Imri Barr
I love this product! So easy to use and helpful
Iyar Lin
@imri_barr Glad you liked it! it's tremendously hard to effectively communicate causal insights in scale
Liron Asulin
@imri_barr So happy to hear you liked it!
Nofar Kella
Congrats on the launch! The product looks amazing and I'm excited to see how it grows. Best of luck!
Tom Laufer
@nofar_kella thanks a lot!
Amir Engel
🔌 Plugged in
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!
Iyar Lin
@shnork Thanks Amir! You contributed a lot to our product design. Appreciate it!
Tom Laufer
@aengel Thank you for being an amazing partner of Loops from the early days. We're truly lucky to have you.
Yan Yanko Kotliarsky
Sounds incredible, and you're doing a great job. One question, though, can you elaborate on the integration, please?
Tom Laufer
@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.
Bridget Piraino
@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🙏
Leonid Toshchev
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.
Tom Laufer
@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.
Ido Adiv
@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).
Hazel Pan
💎 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!
Tom Laufer
@hazellllpan Thanks so much for the kind words!
noam stein
It looks amazing! I can't wait to try it out. Good luck!
Tom Laufer
@noam_stein thanks, please check our demo environment in the meantime.