Data Science Democratization
Collect first-party data from all online and offline channels to form a single customer view that’s accessible to marketing, CX, and other growth teams across the enterprise. Data is automatically normalized and cleaned.
Use out-of-the-box and custom machine learning models with scheduled refreshes and parameters to keep scores current. Technical teams tweak models while growth teams use updated scores to inform CX.
Become less dependent on IT and analytics to pull segments or run machine learning models for customer scores. Transparent models allow you and your technical teams to work together to test new experiences and messaging on the fly.
Non-technical teams can build segments using real-time transactional, behavioral, and predictive customer data in under two minutes. Gather insights to optimize customer experiences across the lifecycle and deliver timely, relevant messages at scale.
