Attention, Recall and Purchase: Experimental Evidence on Online News and Advertising
In: CESifo Working Paper No. 8991
5 Ergebnisse
Sortierung:
In: CESifo Working Paper No. 8991
SSRN
We conduct an experiment where subjects read online news articles and are shown ads for brands next to those articles. Using eye-tracking technology, we measure the attention that each individual devotes to each article and ad. Then, respondents choose between cash or vouchers for the brands advertised. Attention to ads is a predictor both of willingness-to-pay for brands, and brand recall. The main predictors of attention include the type of news and the match between individual political preferences and the media outlet.
BASE
In: The Rand journal of economics, Band 53, Heft 3, S. 453-483
ISSN: 1756-2171
AbstractWe study incumbency advantage in markets with positive consumption externalities. Users of an incumbent platform receive stochastic opportunities to migrate to an entrant and can either accept them or wait for a future opportunity. In some circumstances, users have incentives to delay migration until others have migrated. If they all do so, no migration takes place, even when migration would have been Pareto‐superior. We use our framework to identify environments where incumbency advantage is larger. A key result is that having more migration opportunities actually increases incumbency advantage.
SSRN
Working paper
In: American economic review, Band 107, Heft 5, S. 191-195
ISSN: 1944-7981
Successful platforms attract not just many users, but also those of the right kind. 'The right kind of user' is one who can either be directly monetized or who differentially attracts other valuable users. Bonacich centrality on the network of user sorting with direct value of monetization captures this feedback loop and thus characterizes the value of user characteristics. We use this value to determine optimal steady-state platform design and reliable means for platforms to reach such a steady state. We apply these results respectively to explain the dynamic growth strategy of social networks and urban development policies of cities.