Sequential decision-making problems in online marketing campaigns: optimisation and learning

<p dir="ltr">This thesis investigates sequential decision-making in online marketing, focusing on the applications of multi-armed bandits (MABs) in reward-based crowdfunding and online advertising, with the aim of supporting marketing practitioners in effectively managing trade-offs in decision-making to maximise total revenue.</p>