Question

A media company wants to test five different article headline variants on its homepage to maximize click-through rate. The traffic is high, and business stakeholders want to minimize the number of impressions wasted on clearly underperforming headlines while the test is running, dynamically shifting more traffic toward better-performing variants as evidence accumulates. Which modeling approach best fits this requirement?

Accepted Answer

A multi-armed bandit approach that adaptively allocates more traffic to higher-performing headlines during the experiment

Answer

A fixed 20/20/20/20/20 A/B/n split held constant until a predetermined sample size is reached, then a chi-square test

Answer

A linear regression model predicting click-through rate from headline text length

Answer

A time-series forecasting model to predict daily click volume for each headline