

Loops
Overview :
Loops is a data-driven tool for product growth that uses causal inference models to help enterprises identify key opportunities and optimize key performance indicators (KPIs). It can track and identify changes in KPIs in real time, provide root cause analysis, and measure the impact of change through simulation AB testing. The technical advantage of Loops lies in its ability to quickly identify and analyze potential opportunities in data, enabling companies to make more targeted decisions, improve product performance and user experience.
Target Users :
Loops is designed for data analysts, product managers, and business strategy teams. It helps these users quickly identify and optimize the key metrics of their products through providing deep causal insights, driving business growth.
Use Cases
Wahi gained causal insights through Loops to analyze the impact and elevate its KPIs.
Atera's analysts detected that certain modifications were the main cause of KPI declines using Loops, adjusted their perception of the success of new feature releases, and implemented the third round of updates, significantly improving the conversion rate.
Chris Douglas, former Director of Strategy and Analytics at Scribd, stated that Loops simplified the process of converting customer behavior into business metrics, providing the most actionable insights.
Features
Track KPIs in real-time and quickly identify causes of KPI declines.
Monitor all KPIs automatically, identify trends and anomalies, and provide root cause analysis.
Understand KPI changes using a causal inference model.
Simulate and measure the impact of changes without AB testing.
Demonstrate hidden user journeys and funnels to analyze the causes of user conversion or attrition.
Define and track top KPIs, receive insights via Slack, MS Teams, and email.
Goal-oriented tracking, providing early warnings of target deviation, and adjusting strategies in a timely manner.
Loop hypothesis prioritization, improve the success rate of product changes.
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