Loops - A Real Opportunity for Data Analysts to Impact Product Growth.
Loops simplify data analysis, save time, improve decision-making, and enhance communication of findings.
Loops -
Streamlining Product Language
Loops’ built-in DMP allows data analysts to determine a uniform product language for the organization and produce a dictionary of the product data.
Efficient Data Analysis
Loops’ Phenomena feature helps data analysts save time by pointing directly to opportunities that can help make a big impact on KPIs. It also provides a TL;DR for insights from the product data.
Automated Causality Detection
The ability to find causality automatically with Loops’ feature provides data analysts with a valuable tool to uncover meaningful relationships between variables. By simplifying the process of identifying causality, analysts can focus on interpreting insights and making data-driven decisions.
Expanding the Scope of Data Analysis
Loops’ Machine Learnings models allow data analysts to answer questions they wouldn’t be able to answer otherwise, not to mention even thinking about those questions.
Enhancing Data Communication
With Loops Data Story feature, data analysts can tell a better story about an analysis. It’s not only the insight they found but also how they got there.
Efficient Data Monitoring
Loops’ Health Monitor gives data analysts the ability to define what is essential to look at, save time on research, and save time on outsourcing the data monitoring.
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
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