Amazon Growth Case: Turning Existing Customers Into a Referral Channel
Company: Amazon
Role: Product Manager
Category: Product Design & Strategy
Difficulty: medium
Interview Round: Other
You are a product manager at Amazon, asked to improve customer referrals: getting existing customers to bring new people to Amazon's products and services. Explain how you would define a successful referral, choose whose referrals to focus on, find out what holds referrals back today, propose and prioritize ideas, and measure success.
```hint Follow one referral end to end
Picture a single referral from both sides: what would make the customer want to share, and what the invited person sees and has to do before they become a customer.
```
### Clarifying Questions
- Should a referral bring in brand-new shoppers, new Prime members, or users for one of Amazon's newer services?
- Which market is in scope, and how widely is Amazon already used there?
- Can the plan use incentives such as credits, and do paid affiliates and creators count as referrers or stay out of scope?
### What a Strong Answer Covers
- A defined referral outcome and the bar a referred customer must clear to count
- Referrer segments compared, with one chosen and justified, plus a view of the invited person's side
- Barriers on both sides of a referral, drawn from a specific sharing journey
- Referral ideas prioritized against stated criteria, with a first bet chosen and the reasons the others wait or are dropped
- A success metric tied to the defined referral outcome, with guardrails suited to the chosen referral mechanics
### Follow-up Questions
- How would you know whether referred customers would have joined anyway?
- If your plan rewards referrers, how would you stop people from collecting those rewards through fake or self-referred accounts?
- How would your plan change in a country where Amazon is still a newcomer?
Overview: Amazon product manager question on improving customer referrals. It tests how a candidate defines a successful referral, studies both the person who shares and the person invited, prioritizes referral ideas, and chooses a success metric with guardrails that fit the chosen referral mechanics.