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Loops — Product analytics that surface your biggest causal insights
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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@ansar thanks, we work hard on a full demo environment, so people can see the product first-hand!
@kjosephabraham Thanks! Many surprises. One example: We were surprised how many analytics and product teams don't measure the impact of their product launches. They launch and move on, simply because they don't have the ability to measure it. They just don't have enough, traffic and resources.
With Loops, we simulate what would have happened had you not launched this product initiative, measuring the true impact of your launch.
@antonikozelski Thanks! And more importantly, based on causation and not just correlation. :)
@sentry_co Indeed, we're pushing insights to your Slack via AI summary, a Gen-AI bot.
@tom_laufer1 That slack integration looks 🔥Im using a few slack bots with google analytics. But they are more of the heuristic nature. Would love some AI smarts on top of the analytics data. but in slack. I don't like dashboards 😅 I prefer a river of information, consumed and forgotten 😬. How is the price tho? can't find any pricing tables on your site 😅
I'm so proud to be an investor and supporter of Loops. I am confident this platform is going to be the future of data-informed decision making. Any product or growth leader should definitely check it out!
Congratulations on the launch! Love the Opportunities and Slack integration features. Great work!
Long time user of Loops and it's just amazing! It speeds up our ability to bring valuable insights to table and eventually iterate at a speed of light. Keep up the good work looking forward for new features to unlock our growth 🤩
@praisebuilds Hey there!
Thanks so much - data insights are the way to go!
And yes, we have tons of integrations - check out our integrations page
https://www.getloops.ai/integrat...
No more endless data crunching to find out why retention rates are changing. Nice work, Loops team!
My go-to when I need a really deep and causal analysis - great work @tom_laufer1 and team 🚀
@oba2311 Thanks so much Omer, we're lucky to have you as a customer and partner. :)
Looks amazing, maybe too good ;)
Tom, How do you know that your insights actually work? my number one issue with data is trust... Thanks :)
@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_kedem2 Numbers-wise: 80% of the experiments triggered by Loops insights are successful!
@ariel_kedem2 Definitely check out the Loops blog and the article shared by @iyarlin. Thank you so much for supporting our Hunt today!🤛
@imri_barr Glad you liked it! it's tremendously hard to effectively communicate causal insights in scale
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.
@kostyabolsh 100% agree. With the amount of data currently being collected, the challenge you described is becoming harder and harder.
Sounds incredible, and you're doing a great job.
One question, though, can you elaborate on the integration, please?
@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.
@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🙏
Wow, this is so cool! Will definitely try it out for our upcoming product! Congrats on the launch and kudos to the team, upvoted!
@pavel_bocharov Awesome! Thanks for the support! Enjoy playing around in our demo environment and remember to let us know if you prefer to try it out with your own data!
@pachi_codes It is! You should check out our new demo or book a Free Trial on your on data with me :)
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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