Whether to use an advertising revenue model for Quinn is a very relevant discussion because Quinn is a service that suggests users pieces of clothing to buy. Thus, it’s a natural direction to consider using an advertising revenue model to allow sponsored suggestions of clothing or accessories.
Pros: Quinn is uniquely positioned to use an advertising revenue model because users of the app are already interested in buying clothing, so they are more likely to click on ads for clothing than ads in other apps. Thus, an advertising revenue model would be extremely profitable. Additionally, the more Quinn learns about the user’s style preferences, the more it is able to tailor the ads to the user’s profile, further increasing the clickthrough rate.
Cons: The pro that Quinn would have a successful advertising revenue model is also a con. We have to consider the ethics of this. Quinn is intended to recommend clothing “in good faith” to the user, meaning that we recommend clothing we truly think the user would enjoy, not because we have ulterior motives for doing so. Having an advertising revenue model could make Quinn seem not genuinely interested in the user’s fashion well being, and from an ethical standpoint, not uphold the user’s trust in the service.
