A product analytics solution that helps data analysts impact company growth
Data analysts leverage Loops’ unique causal inference models to drive actionable insights, and enhance overall product strategy.
Trusted by companies that rely on data to inform their decisions.
From building dashboards to making a real impact on the product with Loops.
Read how Taboola used Loops to show a clear link between a product initiative and the impact on revenue, which gave the organization the confidence to expose more users to the feature.
Loops offers unique analysis powered by causal inference.
Identify the features, content, or user behavior that maximize your KPIs using causal inference models.
See the specific combinations of features that causally maximize or minimize your KPIs, going through millions of permutations.
Go through all engagement levels and different time frames to find the causal habit moment that sets up a user for success and drives long-term KPI.
Use causal models to measure the real impact of your product efforts when you lack the resources to run A/B tests.
Find anomalies or trends in your data and see the “why” behind them: Differences in segments, data changes, errors, or seasonality.
Save time by focusing on hypotheses that have a true impact on KPIs
Enhance your data science capabilities
Loops applies advanced analytics and causal inference models to your data and links them to your KPIs.
Have confidence in your decisions
Loops helps you understand your hypothesis’s potential impact before you test it.
Measure results faster
Loops understands the impact of your actions, using minimal traffic and time, and helps you share the learnings easily with your team.