When we launch an optimization project, Evolv’s active learning immediately starts to predict which experiences to serve to make efficient use of time and traffic. The platform uses actual customer behavior to train the machine learning model. That allows us to make incredibly efficient use of time and traffic to the point where we are serving the best combination of experiences. It also reacts to customer feedback in real-time to hone in on the best performers.
The platform serves up experiences drawn from the initial changes and their variations as well combining them into new experiences. The optimization is guided by digital user responses and each unique interaction trains the AI’s active learning model.
As ideas start to emerge as top performers, machine learning starts to direct more traffic to the best performing combinations. It tracks how each element contributes to growth in real-time and delivers results.
The Experience Accelerator is ~<20KB in size and delivers unparalleled advantages: