Explaining advertising's effect on consumer decisions, from awareness to repeat purchase

You are interviewing for a product manager role at Rakuten and are asked how advertising influences user behavior. Explain the ways an ad can change what a person notices, believes, prefers and does, from before they recognize a need through to after they buy, and point out where ads also change behavior in ways the advertiser or the platform showing them may not intend. ```hint Follow one purchase Pick a single purchase and trace it from the moment a need appears to whether the person buys again, asking what an ad could change at each step. Then remember that the people who see ads on a site or app are also that product's users. ``` ### Clarifying Questions - By "user behavior", do you mean the buying behavior of the people an advertiser wants to reach, the behavior of users on the platform that displays the ads (time spent, return visits, ad blocking), or both? - Should I focus on one format, such as sponsored listings in marketplace search, display banners, video ads or cashback and points offers, or cover advertising in general? - Are you interested only in immediate responses such as clicks and purchases, or also in slower effects like brand preference and loyalty? ### What a Strong Answer Covers - A structured walk through the stages of a purchase decision, with the specific way advertising acts at each stage. - The underlying mechanisms (information, memory and familiarity, emotion and identity, social proof, price framing, urgency and incentives) and how product-focused and brand-building ads differ. - Effects on the users of the platform that shows the ads, such as displaced content, annoyance and learned ad avoidance as ad load grows. - The difference between ads that merely correlate with purchases and ads that cause them, and how that influence would be measured. - Limits and responsibilities: diminishing returns and wear-out, privacy, disclosure and manipulative patterns. ### Follow-up Questions - An analysis shows that people who saw an ad bought far more often than people who did not. Why might that overstate the ad's effect, and how would you measure the real lift? - A marketplace wants to add more sponsored listings to its search results. How would you weigh the extra ad revenue against the effect on shoppers? - At what point does showing the same person an ad again stop helping, and how would you set a frequency limit?