Automated predictive analytics
Automates behavioral analytics to track and forecast any KPI or conversion goal in real-time
Enables true causal insights, analyzing your user funnel to recommend which behaviors have the greatest potential lift towards any goal
Predicts which users are most likely to perform any goal, and enable dynamic personalization across any digital channel by intent to convert
ClearBrain works by importing your users’ attributes and actions on your website and app (clicks, pageviews, screenviews) and uses your past user events to inform the likelihood of a future event. This requires instrumenting your website or app, and sending the historical data from a tag manager or data warehouse to ClearBrain, which will in turn convert that data into a machine learning format. Traditional tag managers enable this via a codeless integration, but require you to wait several weeks to collect enough data to power a predictive model. Connecting to ClearBrain via a data warehouse like Redshift or BigQuery gives you all the necessary historical data, but set up may take a couple days due to heterogeneous schemas.
Setting up ClearBrain with Segment shortens your onboarding process from weeks to minutes. Segment’s historical replay enables you to leverage all your historical data to power more accurate causal insights. This includes cross-channel signals across email and mobile and web, automatically centralized by Segment into ClearBrain. Customers are also able to operationalize their ClearBrain recommendations via Segment Personas, passing through user propensity scores automatically to hundreds of ads, email, and A/B testing destinations in Personas to trigger personalized digital experiences by likelihood to convert.
Segment makes it easy to set up ClearBrain.
