Subscribe
Sign in
Loops
p/loops-5Product analytics that surfaces your biggest causal Insights
Start new thread
Ben Lang

Loops - Product analytics that surface your biggest causal insights

by
Top Product
‱

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.

Add a comment

Replies

Best
Tom Laufer
Maker
📌
Hi Hunters!!!! đŸ˜» I'm thrilled to announce our Loops debut within the ProductHunt community. Let me provide you with some quick background on what we have achieved in the past 4 years. We co-founded Loops in 2020 - we were sick of product analytics “data theater” - endless dashboards but little actionable insight. After running data and analytics at Google EMEA, I advised dozens of companies on analytics and saw this problem first-hand. We knew that data should truly be a force multiplier in the company's growth. Loops empowers analytics and product teams to identify the biggest opportunities to maximize their growth and revenue. We leverage causal inference AI models, which show insights based on causation, not just correlation. Insights are automatically pushed to your Slack/MS teams/Email in natural language, leveraging our GEN-AI models. With Loops, you get insights like: -What’s your aha and habit moment? -What journeys and features causally drive retention? -Why KPIs are going down? -What’s the impact of my recent product launch? (even without A/B tests). With Loops, data analysts can truly make an impact on growth, and product managers focus their efforts where it matters. Our fast-growing customer base includes large and high-growth companies looking for an edge, like Monday.com, Postman, Clickup, Scribd, and many others. ❀ Often, our customers find an all-time top insight during a free Loops trial. Check out our case studies! If you’re looking for a better way to drive growth, take a look at Loops. Try our demo environment, a quick walkthrough will set you up to experience the power of Loops for yourself. Or Try Loops on your OWN data, who knows what you’ll uncover in our 14-day free trial! I’m looking forward to meeting you in the comments. Please let me know what you think! And help make our Product Hunt debut a success! love 🧡 -Tom
Tom Laufer
Maker
@sinikiwe_phahlane thanks a lot!
Tom Laufer
Maker
@ansar thanks, we work hard on a full demo environment, so people can see the product first-hand!
Tom Laufer
Maker
@sinikiwe_phahlane Thanks, check out our new demo environment!
Tom Laufer
Maker
@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.
Tom Laufer
Maker
@antonikozelski Thanks! And more importantly, based on causation and not just correlation. :)
Ido Shamun
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 đŸ€©
Tom Laufer
Maker
@idoshamun thanks so much for supporting us from the early days!
Alon Menczer
Maker
@idoshamun Thanks so much!
Liron Asulin
Maker
@idoshamun Thank you!
Ben Lang
Top Product
Hunter
Congrats on launch team Loops!
Tom Laufer
Maker
@benln Thanks so much for the support, super excited about this launch!
Alon Menczer
Maker
@benln Thanks ben!
Pavel Bocharov
Wow, this is so cool! Will definitely try it out for our upcoming product! Congrats on the launch and kudos to the team, upvoted!
Tom Laufer
Maker
@pavel_bocharov Thanks a lot, looking forward to your feedback :)
Bridget Piraino
@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!
Iyar Lin
Maker
Dashboards have proven time and again the discrepancy between promise and delivery. Product analytics needs better tooling to support data driven decision making. It's great there's a product that does the search for a needle in a haystack for you - going through all possible combinations and utilizing state of the art causal models to uncover those nuggets.
Alon Menczer
Maker
@iyarlin Lets go!
Yuval Gerstel
Wow! How can I get the Demo? @tom_laufer1
Ido Adiv
Maker
@tom_laufer1 @yuval_gerstel Hi Yuval, you can find a link to the demo environment at our website at https://www.getloops.ai/
Yarin Banyan
Amazing product by Loops, in my previous place they helped us get many valuable insights about our app users that made us increase our paid conversion rate.
Tom Laufer
Maker
@yarin_banyan Thanks Yarin for the support, was great working with you!
Lakshya Singh
Wow! This seems amazing. Must have taken a lot of efforts to study the analytics and make this product. Kudos to the team! Congrats on the launch
Alon Menczer
Maker
@lakshya_singh Thanks so much! Loops is indeed the fruit of hard work
Alon Menczer
Maker
So Excited for this launch, Loops will change your product analytics game! 🚀
Stefans Keiss
Congrats on the launch, Tom! Can you describe how the causal AI models differ from traditional correlation analyses in more detail?
Iyar Lin
Maker
@memphys_sk Hi, Lead DS here (: Causal AI differ from traditional correlation analyses by accounting for confounding factors when estimating the effect of different actions in the product. A prime example would be of encouraging users to interact with a certain feature. If we were to simply compare the conversion rate among adopters vs non adopters we'd get an inflated estimate of the adoption effect since the adopters tend to have much higher intent. To account for that intent our causal models' (in a nutshell) stratify the population along intent levels and compares adopters vs non adopters within them, thereby eliminating the intent confounding.
Eran
Its about time a platform can scan a data warehouse for business opportunities instead of having hundreds of analysts do that! Causal models are such a game changer, being able to run meaningful tests without AB testing everything is magic
Iyar Lin
Maker
@eran2 Thanks for the feedback! I was thinking the same
Bridget Piraino
@eran2 Agreed! Those guys have better things to do with their time and expertise than building more and more dashboards every day. With Loops, they are empowered to make an impact on growth and revenue. Thanks for the support!
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
Maker
@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...
Tom Laufer
Maker
@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!đŸ€›
Yan Yanko Kotliarsky
Sounds incredible, and you're doing a great job. One question, though, can you elaborate on the integration, please?
Tom Laufer
Maker
@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🙏
Jackieline Cosares
How does Loops stack up against other analytics tools like Mixpanel or Amplitude in terms of actionable insights and ease of use? Looking forward to trying it out and seeing how it compares!
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
Maker
@kostyabolsh 100% agree. With the amount of data currently being collected, the challenge you described is becoming harder and harder.
Naama Ginott
Amazingly useful platform! any team looking to boost their KPIs should try this out
Tom Laufer
Maker
@naama_ginott Thanks a lot!!đŸ”„
Liron Asulin
Maker
@naama_ginott Thank you!
Imri Barr
I love this product! So easy to use and helpful
Iyar Lin
Maker
@imri_barr Glad you liked it! it's tremendously hard to effectively communicate causal insights in scale
Liron Asulin
Maker
@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
Maker
@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
Maker
@shnork Thanks Amir! You contributed a lot to our product design. Appreciate it!
Tom Laufer
Maker
@aengel Thank you for being an amazing partner of Loops from the early days. We're truly lucky to have you.
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
Maker
@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
Maker
@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).