Metrics question

How would you regain lost sellers at Amazon without crunching its budget?

Practice this question out loud. An AI interviewer asks it, follows up like a real interviewer would, and scores your answer. Type or speak.

What this question tests

Growth and retention thinking under a budget constraint, similar to a churned seller win back problem but framed around prevention and regain.

Segment lost sellers by cause: uncompetitive fees, operational complexity, or better opportunities on competing marketplaces.
Prioritize sellers lost to operational complexity or poor tooling, since that's fixable without spending on discounts or fee cuts.
Favor low cost, high leverage fixes given the budget limit, like improved seller analytics dashboards or faster payout cycles instead of fee waivers.
Propose a targeted campaign: personalized outreach highlighting a specific improvement relevant to why that seller left, paired with a small no cost trial period rather than a cash incentive.
Test the campaign on a small cohort of lost sellers first to validate the win back rate before scaling.
Define success as seller reactivation rate and their sales volume 90 days after returning, not just the initial signup.

Segments lost sellers by root cause instead of a single blanket win back campaign.
Explicitly designs around the budget constraint by favoring product and service fixes over cash discounts.
Gives an illustrative number, for example assuming an 8 percent reactivation rate from a targeted, low cost campaign.
Tracks post reactivation sales volume, not just signups, to ensure real value was regained.

Proposing fee cuts or cash incentives as the primary lever despite the explicit budget constraint.
Treating all lost sellers as the same segment instead of separating fixable causes from unfixable ones.

How would you identify which lost sellers are worth prioritizing given limited outreach capacity?
How would you measure whether the win back campaign is profitable given its cost?