Outlier AI

Outlier is an AI-based business analytics and anomaly detection platform that acts like a constant watchdog for your company’s data. Once connected to your various data sources (sales databases, marketing analytics, product usage data, etc.), Outlier continuously analyzes trends and relationships across all your metrics and dimensions, without you having to predefine what to look for.

Each day, it surfaces “stories” or insights about unusual changes: for instance, it might alert you that “Traffic from Facebook ads in California dropped 30% yesterday compared to the weekly average” or “New user sign-ups are 15% higher than usual, driven by an increase in referrals.” What sets Outlier apart is it doesn’t just flag a number going up or down – it automatically looks for correlations or segments that might explain why.

So an alert typically comes with context like which segment of users or which product category is most responsible for the change. The platform’s interface allows users to see these insights at a glance, snooze or prioritize certain types of alerts, and dig deeper if needed (e.g., pivot the data around that anomaly). Outlier integrates with a wide range of business systems (Google Analytics, CRM tools, databases, data warehouses, etc.), making setup fairly straightforward – you choose what sources to connect and Outlier handles the rest with its unsupervised machine learning algorithms.

This is incredibly useful for catching issues (like a broken feature causing drop in engagement, or a misconfigured campaign causing a traffic spike) as well as opportunities (like an unexpected sales boost from a region or demographic you can capitalize on). Outlier typically sells to mid-size and large organizations and may have a SaaS pricing model based on data volume or number of integrations.

By using Outlier, companies effectively get an AI analyst that never sleeps, combing through data and highlighting the important things humans should pay attention to, thereby saving time and preventing surprises in KPIs.