Loops

Maker

📌

Hi Hunters!!!! 😻 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

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11mo ago

Antoni Kozelski

Evryface

@tom_laufer1 Congratulations on the debut of Loops in the ProductHunt community. I think many companies are interested in learning what paths and features are the reason for retaining growth and revenue. Great product!📈

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11mo ago

Tom Laufer

Loops

Maker

@sinikiwe_phahlane thanks a lot!

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11mo ago

Tom Laufer

Loops

Maker

@ansar thanks, we work hard on a full demo environment, so people can see the product first-hand!

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11mo ago

Tom Laufer

Loops

Maker

@sinikiwe_phahlane Thanks, check out our new demo environment!

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11mo ago

Joseph Abraham

SaaS for Greater Good

@tom_laufer1 Hats off to the team! Wishing you a bright and successful journey ahead. What has been the biggest surprise during development?

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11mo ago

André J

FlowLayout

🙌 Love it! Does it have slack bot integration? 🙏

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11mo ago

Tom Laufer

Loops

Maker

@sentry_co Indeed, we're pushing insights to your Slack via AI summary, a Gen-AI bot.

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11mo ago

André J

FlowLayout

@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 😅

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11mo ago

Leonid Toshchev

mgmate

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.

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11mo ago

Tom Laufer

Loops

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.

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11mo ago

Ido Adiv

Loops

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).

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11mo ago

Loops

Product analytics that surfaces your biggest causal Insights