Loops

Meet me in #NewYorkCity, Tuesday October 22nd 6-8:30pm! I’ve teamed up with analytics leaders Mary Alfheim of Scribd, Inc., Elena Dyachkova of Bubble, and Jenna Lemonias of The Atlantic for a NYC Product Analytics Leaders’ Meetup, in-person! 🔥 🎉 👉 We’ll be talking about causal analytics in real-life today, optimizing career paths in data analytics, empowering data analytics stakeholders, and the three things the best product analysts do to ensure their insights are actionable. 🚀 ✅ Network with your peers. ✅ Be inspired by our expert speakers. ✅ Enjoy fabulous food and drinks. 🫵 SAVE YOUR SPOT! REGISTER TODAY! https://lnkd.in/dG5C_yBZ #productanalytics #meetup #causalml

Finally, an in-person MEETUP for New York Tri-State Product Analytics Leaders! 🔥 Join us in NYC, following the hugely successful meetup Loops hosted in San Francisco, this past Summer. Join me and analytics leaders from Scribd, Inc., Bubble, and The Atlantic on Tuesday October 22nd 4th, NYC, 6:00pm. 👉 Network with fellow Product Analytics leaders at our opening reception 👉 Be inspired by our incredible industry expert speakers 👉 Enjoy some fabulous food and drinks Here’s the rapid-fire program, with lots of opportunity to meet and mingle in-between: 🎤 Mary Alfheim, VP Data, Scribd OPTIMIZING PRODUCT ANALYSTS' CAREER PATHS FOR MAXIMUM IMPACT 🎤 Elena Dyachkova, Head of Analytics, Bubble EMPOWERING PRODUCT ANALYTICS STAKEHOLDERS: PROCESS, DATA, & METRICS 🎤 Jenna Lemonias, PhD, VP Data, The Atlantic THREE THINGS THE BEST PRODUCT ANALYSTS DO TO ENSURE THEIR INSIGHTS ARE ACTIONABLE 🎤 And, I will be addressing causal analytics in my session: UPPING YOUR [CAUSAL] ANALYTICS GAME SAVE YOUR SPOT❗LINK in 1st Comment SIGN-UP TODAY

A question I get frequently is “How should I define my Activation metric?” Most of us are familiar with Meta Facebook’s famous example of “7 friends in 10 days,” but in reality #Activation is a journey. Usually, it’s not as clean-cut and there may be no single feature or use case that drives the desired long-term KPI, such as retention. For this reason at Loops, we examine two types of activation metrics: Simple and Complex. ✅ The Simple, like the Facebook example, pins the answer to a single metric within some time period. ✅ The Complex is not so easy - as you’ll see from the example below, representing the case of a video creation platform company. SIMPLE EXAMPLE: Completed 3 exports in the first 7 days It's easy to communicate and report on. However, in many cases, it is also less accurate - you can push this metric, but the KPIs would not really move. COMPLEX EXAMPLE: Completed 2 exports, one integration and shared twice. This is much harder to communicate, but is much more accurate. So what should you do? There is actually no wrong or right solution. Many teams go for the simple approach, perhaps adding a few additional constraints. 👉 However, another interesting method is to: Report on the simple case to leadership and in weekly/monthly reports, but internally ensure that your hypotheses and experiments actually move the more complex KPI as well. 💡 💡 💡 Ultimately, the choice between Simple and Complex activation measures depends on your team’s goals and resources. By balancing both approaches, you can deliver clarity for management and in reporting, while building your own peace of mind by pursuing deeper insight and accuracy with more complex measures that remain in the background until the causal effect is proven.

While the data analytics and growth teams are studiously focused on monitoring #KPIs and testing product analytics-driven hypotheses, R&D can end up being the last group brought into the loop when a KPI changes for the worst. In this case study, an R&D team was informed of a KPI change a full month after it had begun changing. While they jumped into action, it took another month of manual investigation by the team to find what they thought was the answer, a bug in one of their development releases. 🗓️ It was at this time that the R&D team were introduced to Loops. A Root Cause analysis run on the Loops platform immediately pinpointed the same release that the team had suspected. 💪 This case study highlights the challenge of measuring the causal effect of releases on KPIs. Many times, due to a lack of traffic, time, and /or resources, measuring the effect of releases on KPIs using A/B Testing is skipped. While the A/B Test remains the gold standard approach, it is not always feasible, especially in highly customized, high-volume development environments. 😟 👉 Loops was able to assist in immediately confirming the specific development release behind the KPI issue with its Root Cause analysis. 🔥 In addition as an ongoing best practice, Loops also introduced the R&D team to its Loops Release Impact Analysis capability - a unique innovation that simulates standard A/B testing, but with minimal traffic and less time and resources required. 📣 Closing the loop, the company decided to also take advantage of Loops’ Slack notifications to issue weekly updates on KPI changes, ensuring the R&D team and other stakeholders are kept informed, further mitigating risk and facilitating rapid response. 🔥 🏆 It has been proven 90+% as accurate as standard A/B testing. The difference is that it’s a practical, highly accurate solution that empowers R&D, and Product, teams to test the causal effect of every development release. 🚀 I hope you’ll find this post and case study inspiring and you’ll consider sharing it with your friends in R&D. 📣 #MeasureTheCausalEffectofEveryRelease READ THE CASE STUDY VIA THE LINK IN 1ST COMMENT #ProductAnalytics #CausalML #ABTesting #RandD #Researchanddevelopment

If you want to know how YOU compare in terms of using AI in Product Analytics and Growth today, you need to watch this short webinar🔥 Our experts listed what you should already be leveraging AI for, and what to stay away from - for now. Eye-opening stuff 👀 Team-changing perspective 💪 The expert skinny - netted out for you by growth and data science leaders 🏆 ...and we had some fun with it, too! 😄 Thank you Marc Stone, Darius Contractor, and Iyar Lin for a joining me in this inspiring Loops webinar. Thank you to the folks who tuned in live today. 🙏 👉 To view the recording click the link in the first comment! #AI #CausalML #ProductAnalytics

It is not loo late to sign up for the AI, Product Analytics, and Growth webinar tomorrow, Tuesday 9/24 at 8:30am PT | 11:30am ET. It's exciting to see the attention that this event is drawing🔥. AI is changing product analytics - find out what you can do to leverage it, right now. Learn how your peers have leveraged AI to slay the product growth dragon 🐉 : 👉 The AI they used 👉 What’s under the covers - how AI enhanced the data science 👉 The impact of AI on their experiment success rates 👉 How AI-enhanced insight bridged departmental gaps and helped their teams drive tangible business success Don't miss out on this power-packed line-up: 🔥 Marc Stone has transformed data and analytics using AI at ClickUp. 🔥 Darius Contractor has leveraged analytics and AI in product growth strategy at Otter.ai, Meta, Dropbox and Airtable. 🔥 Iyar Lin, and I, of Loops, have seen many companies successfully utilize AI in product analytics to grow their businesses and they understand the latest AI-enhanced product analytics trends across the market. Join us and find out how 🚀 https://bit.ly/47yHi9W

Many of your peers in Product Analytics and Growth are already leveraging AI. Find out what's real 🔍 - sign up for our expert webinar. 👉 “AI, Product Analytics, and Growth: Harnessing the Success Multiplier“ webinar, Tuesday Sept. 24, 8:30am - 9:30am PT. We'll be cutting through all the buzz and focusing on the role that AI is actually playing in product analytics and growth today. 💪 Join us for real-life examples of companies who have leveraged AI as a success multiplier. 🔥 Dig into the details of AI-enhanced data science, how to integrate AI and optimize use of it across growth teams, and how it is changing the make-up of our organizations. 😎 Join me and Marc Stone of ClickUp, Darius Contractor of Otter.ai ex Dropbox, Meta, and Airtable, and Loops' own Iyar Lin! Register today! https://bit.ly/47yHi9W #ProductAnalytics #AI #growth #CausalML

Hey Everyone, I'm teaming up with fellow Data Analytics and Growth experts on the “AI, Product Analytics, and Growth: Harnessing the Success Multiplier“ webinar, Tuesday Sept. 24, 8:30am - 9:30am PT. We'll be cutting through all the buzz about AI and focusing on the role that AI plays in product analytics and growth today. Join us and hear real-life stories of companies who have leveraged AI in Product and Growth. Dig into the details of AI-enhanced data science, and how to integrate AI and optimize use of it across growth teams. Join me and Marc Stone of ClickUp; Darius Contractor of Otter.ai ex Dropbox, Meta, and Airtable, and Loops Iyar Lin! Register today! #ProductAnalytics #AI #growth #CausalML

Product Analytics has changed so much in recent years but I’d like to talk specifically about integration with Product Analytics systems, in 2024. Typically, when companies consider implementing analytics solutions, they’re immediately afraid of the complex, tedious, and time-consuming integration that’s involved. Everyone has experienced the trauma of an integration with an analytics platform that took ages …and eventually failed. It’s natural that the first question I hear from people looking to add causal analytics into their product analytics environment is regarding the data and integration process. Analytics solutions traditionally required a massive engineering effort, taking a lot of resources and time to integrate. The more complex the environment, typically, the longer it took to integrate. Also, because they are not warehouse-native, costs would tend to explode. Many of these older systems also make copies of your data to work on. This often leads to additional storage costs, and security and privacy compliance concerns. Current analytics must offer a better solution: Warehouse-native, supporting various data sources, mapping out data automatically, helping create the semantic layer, etc. in order to make the process as seamless as possible. We built Loops to be #WarehouseNative from the ground up for rapid integration - and of course to bring easy-to-use, built-in, causal analytics to the market. Our platform does not care if you have messy data, or it is siloed across multiple warehouses or analytics systems, it contains PII, or you have thousands of events. Here’s how we handle getting you fully integrated - and up and analyzing- in just a few hours: ✅ We connect to your data with a dedicated login you provide for Loops. ✅ Loops automatically starts to build a semantic layer in the Loops platform representing all of your siloed data. ✅ Our dedicated team meets with you and helps you setup your KPIs in Loops in a single session. ✅ Immediately upon KPI definition, Loops starts analyzing your data and generating insights. ✅ You’ll receive training and a login, and can start exploring Loops, reviewing the opportunities Loops has found, and asking your own questions. Loops has delivered incredible ROI and GTM benefits for our leading B2B and B2C company customers. 🚀 Learn more on our #getloops .ai website Enjoy the video and see how easy it is to integrate Loops and start generating new, CAUSAL insight. 🔥 Let me know in the comments if you would like to see what Loops would help you discover from your OWN data, in a free 14-day trial of the platform. #ProductAnalytics #CausalML

Are you looking for your next high-growth sales role? We've got an awesome opportunity at Loops for an Account Executive to help us expand our sales team. This strategic role requires someone experienced in building and leading a high-performance sales team and is critical to the fast-paced journey we are experiencing! 🚀 Loops is revolutionizing Product Analytics. 💪 Our customers are leading-edge digital product companies. They connected Loops to their data effortlessly. Many found some of their biggest insights during their Loops proof of concept. Our customers no longer waste time staring at dashboards looking for answers, they are making an impact on growth using Loops. 🔥 Join the team that’s changing the way product analytics is done. Work alongside a passionate, collaborative team and bring your sales game to a new and exciting mission, at Loops. 🚀 https://lnkd.in/d_EraFda #productanalytics #causalml