Loops
AI analytics platform that identifies why KPIs change and provides causal insights without A/B testing
| What is it | AI analytics platform that identifies why KPIs change and provides causal insights without A/B testing |
|---|---|
| Pricing | Contact for Pricing |
| Free tier | No |
| Platform | Web Application |
| Works with | Integrately, Make, n8n, Zapier |
| Best for | identifying why conversion rates dropped, measuring feature release impact without A/B testing |
| Domain registered | 2021 |
Data updated Aug. 1, 2026
What does Loops do?
Loops is an AI-powered analytics platform that helps businesses understand why their key performance indicators change. Instead of just showing what happened, it explains why it happened using causal inference models. The core of the platform is Scout, an AI agent that answers questions about metric changes in natural language, making complex data analysis accessible to non-technical team members.
The platform works by continuously monitoring your KPIs and automatically identifying trends, anomalies, and their root causes. It analyzes various potential factors including marketing efforts, product performance, bugs, seasonality, and population shifts, then ranks them by impact size. What sets Loops apart is its ability to provide causal insights without requiring A/B testing, using proprietary models that simulate experiments even with minimal traffic.
Growth teams, data analysts, and product managers benefit most from Loops. It helps them quickly diagnose why metrics are dropping, measure the impact of new features, and identify hidden user segments that drive conversion or churn. Companies use it to improve hypothesis prioritization, reduce time spent on manual analysis, and make data-driven decisions about where to focus product improvements.
Key features
What makes it stand outWho is Loops for?
Who benefits most from this toolTrust & presence
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