Question: Is there a solution that uses causal inference to estimate the impact of different actions on business metrics?

Loops is an information retrieval system that uses causal insights to maximize key performance indicators (KPIs). It can monitor KPIs in real time, perform causal analysis, and estimate effect with simulated A/B tests. Loops connects to data sources like Google Analytics, Amplitude and Mixpanel, and is geared for data analysts and product managers trying to make decisions. The company says its customers have seen results, including a 200% increase in conversions and a 34% increase in logins.

Another good option is Infer, a predictive AI-powered information retrieval system. It offers a range of products, including causal inference, lead scoring, customer churn, and demand forecasting. Infer connects to big data connectors like Snowflake, Azure, Google and Salesforce, and offers a simple interface to help businesses improve KPIs. It's said to have shortened sales cycles and lowered costs, so it's a good option for businesses trying to optimize their operations.

For more sophisticated market research, subconscious.ai uses modern AI to produce faster and more accurate results. It supports advanced causal models and can simulate entire user journeys without integration. With a large pool of human respondents, subconscious.ai can help businesses figure out product feature value, segment audiences, optimize patient care and understand purchase motivations. It's a good option for businesses and policymakers who want to run causal experiments and forecast market effects quickly.