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On the Blog
Flipping a Hidden A/B Test Setup Error into a 12% KPI Lift
A customer's own dashboards indicated their A/B test experiment variant was losing. Fortunately, they looked at the Loops validation analysis. Ultimately, it drove a 12% lift in Conversion to Paid
Product Analytics Leaders' Meetup Masters Mini-Series - Snehal Karanjkar
Snehal Karanjkar of Kong, and formerly of ProductBoard and Dropbox, discusses best practices for effective business reviews and the best analyses for streamlined reporting
Major Consumer Goods Company Discovers Hidden KPI Drop with Loops - Avoiding $5M Revenue Loss
This case study highlights that many firms may be losing money without knowing it. In this case, a customer of Loops avoided a $5M revenue loss by quickly identifying an issue before it impacted the majority of their client base.
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200%
Lift in Conversion to Next Step at Wahi
34%
Lift in Logins at uDocz
34%
Lift with Loops Release Impact at Atera
Trusted by the best growth teams
Resources
View all
Customer Case Studies
Data Science
Interviews
Company
Events
Event
Product Analytics Leaders Virtual Meetup
Recorded Aug 6, 2024: Learn from the experts who presented in this very special online event.
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Case Study
Flipping a Hidden A/B Test Setup Error into a 12% KPI Lift
A customer's own dashboards indicated their A/B test experiment variant was losing. Fortunately, they looked at the Loops validation analysis. Ultimately, it drove a 12% lift in Conversion to Paid
Read
Event
Product Analytics Leaders' Meetup Masters Mini-Series - Snehal Karanjkar
Snehal Karanjkar of Kong, and formerly of ProductBoard and Dropbox, discusses best practices for effective business reviews and the best analyses for streamlined reporting
Read
Case Study
Major Consumer Goods Company Discovers Hidden KPI Drop with Loops - Avoiding $5M Revenue Loss
This case study highlights that many firms may be losing money without knowing it. In this case, a customer of Loops avoided a $5M revenue loss by quickly identifying an issue before it impacted the majority of their client base.
Read
Event
Product Analytics Leaders' Meetup Masters Mini-Series - Olga Berezovsky
Olga Berezovsky, author of the Data Analysis Journal and experience growth leader, offers detailed advice on defining KPIs
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Event
Product Analytics Leaders' Meetup Masters Mini-Series - Ken Rudin
Ken Rudin, Executive Growth Advisor, shifts the focus from "actionable insights" to actual impact, describing the prerequisites of impact.
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Event
Product Analytics Leaders' Meetup Masters Mini-Series - Casey Winters
Casey Winters, renown Product Growth Advisor, and growth builder of EventBrite and Pinterest, shares his thoughts on build to a "Learning Machine" to drive growth
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Event
Product Analytics Leaders' Meetup Masters Mini-Series
Enjoy the Product Analytics Leaders' Meetup sessions in this "Masters Mini-Series". First up is Tom Laufer on how to deal with the correlation / causation problem by leveraging causal inference models.
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Company
Loops Corporate Overview
Got two minutes? Check out this snappy overview of Loops, hosted by Loops CEO, Tom Laufer
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Data Science
Whitepaper. Measuring the Causal Effect of Product Launches
How to leverage causal inference models. Understand causal insight accuracy versus A/B tests. Learn how to make impactful decisions with less traffic, time, and cost.
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Data Science
Protecting Revenue Playbook
The ultimate playbook for understanding your product KPI changes and avoiding loss.
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Event
SF Meetup - What a Night!
Wow, what a night for Product Analytics Leaders at our San Francisco Meetup! It was great seeing all the networking happen...
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Case Study
Wahi: Gain Causal Insights, Analyze Impact, and Increase its KPIs by 50-200%
Wahi has always had a focus on product analytics, but quickly determined that their correlation-based approach of formulating hypotheses, trying to optimize campaigns and the product, and waiting weeks to months on A/B tests trying to identify causation, was not optimal.
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Event
B2C Subscription Growth
An insightful discussion amongst B2C Subscription Growth Leaders, Casey Winters, Phil Carter, Tablish Gilani and Tom Laufer
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Case Study
Atera: Impact Model led to 34% Lift – with no A/B Testing
Using Loops, Atera’s analysts detected that a particular modification was the primary cause of a KPI decline. Armed with this newfound insight, Atera’s team was able to adjust their views about the success of a new feature release, ultimately implementing a third round of updates in the same product area. These subsequent changes resulted in a substantial boost in Atera’s funnel conversion rates. Thanks to the insights provided by Loops, Atera’s team rapidly learned from their previous iterations and could react accordingly until achieving success.
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Event
Driving B2B Product Growth
B2B experts discuss the top execution drivers for product growth in B2B businesses, in 2024
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Data Science
KPI Drop Checklist
It’s 2024 and analysts are still wasting time figuring out why their KPIs dropped. We know this from our interviews with 40 growth analytics leaders. They all said the same thing
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Case Study
monday.com: Closing the Loop on Hypotheses Prioritization
Generating hypotheses is a critical aspect of the data analysis team’s work at monday.com. However, assessing the worthiness of a hypothesis can be overwhelming, particularly for a team that conducts hundreds, if not thousands, of analyses daily.
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Data Science
Moments We Call "Change-Led" Growth ;-)
Moments I call “change-led growth” ;) When Ido and I founded Loops, it wasn't to change the world, at least not all of it at once. We saw a specific problem.
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Event
From Data Analysis to Company Influence
How data teams can move beyond building dashboards to actually moving the product and the business needle.
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Interview
Why Loops - with Andreas Gross
Andreas Gross started Life360 and scaled other businesses, such as Reddit and Credit Karma. Here he discusses "Why Loops."
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Event
From Staring at Dashboards to Moving the Needle
Insights and hard truths about why so many product teams are misusing data and how you can break the cycle
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Interview
Why Loops - with Gad Allon
Gad Allon, Loops angel investor and Jeffrey A. Keswin Professor, and Professor of Operations, Information and Decisions at the Wharton School ta;lks with Tom Laufer about "Why Loops"
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Interview
Why Loops - with Japna Sethi
Japna Sethi, a Loops angel investor and Director of Product Management, Growth at Calendly, tells us in her own words, “Why Loops."
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Interview
Why Loops - with Tabish Gilani
We talked with Tabish Gilani, Growth at Kajabi and former Head of Product at Replit, who shared his thoughts on why A/B testing is so much more than an easy experimentation tool
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Data Science
Is There An Alternative to AB Testing?
The simple answer is yes. The not-so-simple answer is that Loops’ "Release Impact" offers a proven alternative to A/B testing. Let me elaborate.
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Data Science
Experimentation for B2B Companies
For data and product professionals, one of the significant challenges we often face is conducting meaningful experiments when product traffic is relatively low, a known scenario in B2B products.
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Data Science
Gen-AI at the Service of Product and Growth Teams
Until recently, AI was perceived as almost imaginative, only reserved for particular usages. But in a very short time, and with the emerging generative AI, we have an AI solution for almost anything - including Product and Growth teams.
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Interview
Why Loops – With Casey Winters
In this session, we asked Casey Winters, the former CPO at Eventbrite, about what opportunity he sees in Loops for product and data teams. Casey shares a lot of valuable tips about how to approach experimentations, how to align product managers and data teams, and shares from his vast experience working in companies like Eventbrite and Grubhub. Enjoy.
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Case Study
18Birdies – Remarkable Growth in KPIs
When 18Birdies started working with Loops, the platform presented an opportunity to improve on 18Birdies’ pre-set KPIs with the “Goal Driver” analysis. This analysis automatically identifies the features that maximize a company’s KPIs using causal inference models, which enable you to get significant results with minimal traffic.
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Data Science
The False Sense of Confidence With “Before-After” Analysis
In this article, Iyar Lin, data science lead at Loops, goes through the “behind the scenes” of one of our most used types of analyses: Release Impact.
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Interview
Why Loops – with Adam Fishman
In this session, we asked Adam Fishman, the former VP Product/Growth at Patreon, about what opportunity he sees in Loops for product managers, and to share some tips about experiments and alignment between product managers and data analysts. Enjoy.
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Case Study
uDocz: Powering 20-34% Lift Across Top KPI’s
A partnership between the firms aimed to identify more product growth opportunities by validating uDocz’s hypotheses using Loops’ unique causal inference models and analyses.
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Latin America
Company
A Letter From Our CEO: Loops’ $14M Funding Round
Hi, I’m Tom Laufer, and together with Ido Adiv, we founded Loops, a revolutionary analytics tool that helps product and data teams crush their KPIs by finding impactful growth opportunities hidden across their data.
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Case Study
Taboola – Increased Revenue Impact
Taboola is one of the leading ad-tech platforms in the industry, serving over 360 billion content recommendations each month.
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Data Science
From Data Insights to Hypothesis
Whether you’re looking to make product feature updates, increase customer retention, enhance the conversion rate of a particular stage of the customer journey, or penetrate an entirely new market segment, the “how” will start with a hypothesis. Just like other fields of scientific studies, product management and growth requires data to back up your hypothesis and ensure the insights gathered are accurate and yield the best decision.
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Data Science
4 ways you’re misinterpreting your product data
There’s no doubt that in today’s data-driven digital landscape, the amount of raw data a product manager encounters on a daily basis is enormous. Analytical product managers and their team members alike spend hours upon hours, staring at dashboards analyzing data, as they pursue their “never-ending quest” in discovering valuable insights about how users interact with their product.
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Data Science
The Secrets of Successful Product Growth Teams
In today’s forward-thinking, customer-focused organizations, product teams are constantly evolving and changing. New teams and functions are created as a way to empower the specialized expertise that’s leveraged to establish a competitive advantage. As the issue of acquiring and retaining users is critical to a product’s success, the evolution of product growth teams that focus on moving the needle on critical success metrics of their products should come as no surprise.
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Data Science
The Problem with Product Analytics
The explosion in the use of data has upended the way product and growth professionals make critical decisions about how they build their products. Product teams do their best to leverage near-infinite amounts of data to discover insights that help them develop better products. They’re on a mission to gain clarity regarding how users interact with their products and more specifically, discover the features and flows that delight users to the point that they become ambassadors that drive viral growth.
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Heading goes here
Lorem ipsum dolor sit amet, consectetur adipiscing elit.
Medium length title goes here
200%
Lift in Conversion to Next Step at Wahi
34%
Lift in Logins at uDocz
34%
Lift with Loops Release Impact at Atera
Trusted by the best growth teams