Loops Corporate Overview

Many teams still make important product decisions based on simple before and after analysis. The approach often leads to misleading conclusions due to its failure to account for key factors like seasonality, time, user mix changes, and concurrent events and to model time dynamics and multiple releases. Find out how to get it right.

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.

The Loops KPI Tree helps you understand how each of your KPIs affects others. You can create a map of your KPIs and discover the biggest levers that move each one.

Colossyan leveraged Loops to redefine experimentation, track key product KPIs, and prioritize high-impact features. Learn how causal insights from Loops helped the team at Colossyan determine key steps in their AI video creation platform strategy.

A Loops-empowered R&D Team pinpoints the specific code release behind a core KPI change

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