Loops

Loops uses causal insights to help users find opportunities to optimize their key performance indicators (KPIs). It spots KPI drops rapidly and explains the causes, for example changes in traffic or feature releases. Loops' proprietary causal inference models run A/B tests in simulation to estimate the effect of actions without requiring a lot of traffic. That lets users make decisions and steer their projects when they go wrong.

Among Loops' features are:

• Real-time KPI monitoring: Spotting when KPIs are dropping and explaining why.
• Hidden segment detection: Automatically finding trends and anomalies in KPIs.
• Causal analysis: Figuring out what's causing KPI changes and prioritizing them by impact.
• Impact estimation: Simulating A/B tests to estimate the effect of actions without requiring a lot of traffic.
• User journey analysis: Finding out how user behavior affects KPIs.

Loops connects to common data sources like Google Analytics, Amplitude, Mixpanel and to data warehouses like Snowflake, Redshift and BigQuery. That makes it easy to connect and analyze user data.

The service is geared for data analysts and product managers trying to make decisions. It offers suggestions that let teams zero in on the most important opportunities and spend their time wisely.

Loops says its customers have achieved results including:

• 200% lift in conversion to next step at Wahi.
• 34% lift in logins at uDocz.
• 34% lift with release impact at Atera.

The company doesn't reveal pricing, but offers a 14-day free trial. You can also request a custom demo to learn more about the service.

Loops is designed to make it easier to turn customer behavior into business metrics that are useful. By giving growth teams fast and accurate insights, it can help them boost their KPIs and make better decisions.

Published on July 19, 2024