Information Design in Crowdfunding under Thresholding Policies

In crowdfunding, an entrepreneur often has to decide how to disclose the campaign status in order to collect as many contributions as possible. We propose information design as a tool to help the entrepreneur to improve revenue by influencing backers' beliefs. We introduce a heuristic algorithm to dynamically compute information-disclosure policies for the entrepreneur, followed by an empirical evaluation to demonstrate its competitiveness over the widely-adopted immediate-disclosure policy. Our work sheds light on information design in a dynamic setting where agents follow thresholding policies.