Get instant opportunities to
crush your KPIs
Loops is a no-code analytics platform that provides product and data teams with growth opportunities hidden in their data.
Companies Who Trust Us
Investors Who Trust Us
How Loops Works
No-code integrationYou can easily connect Loops with your data warehouses and data analytics platforms without any code or R&D resources and then define your KPIs.
Loops - A force multiplier for product and data teams
Go beyond correlation
Loops’ proprietary “Causal Inference” models takes data analysis to a whole new level. Loops identifies the causality behind the correlation so that you won’t waste time on misleading insights.
Loops’ no-code analytics platform provides product and data teams with immediate value. Loops works with your existing data stack, seamlessly integrating with various data sources and data warehouses so you can start optimizing your product in no time.
Insights that speak your language
Stop trying to extract insights from meaningless event names and undefined properties. Loops uses your product and data terminology so you can focus on the most important features and KPIs
Focus on what drives your KPIs
Loops applies proprietary machine learning models that analyze millions of data points, enabling you to easily identify and act upon the most promising growth opportunities while eliminating dashboards and graph fatigue.
Find out how we can help you detect and act
on opportunities to grow your product,
and crush your KPIs
Recent blog posts
Case Study: Taboola – Increased Revenue Impact
Main results: In Short Taboola is one of the leading ad-tech platforms in the industry, serving over 360 billion content recommendations each month. Developing dynamic
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
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