Opportunity Assessment: Adding Product Recommendations Beside Google Shopping Ads
Company: Google
Role: Product Manager
Category: Analytics & Experimentation
Difficulty: medium
Interview Round: Other
Google Shopping already shows a block of ads on its pages. The team is considering adding a "You may also like" block of product suggestions alongside that existing ads block. As the product manager, how would you assess whether this is an opportunity worth pursuing?
```hint Name the block's job first
Before reaching for numbers, decide what the new block does for a shopper and for Google, because that determines which outcomes you count as gains and which as losses taken from what is already on the page.
```
### Clarifying Questions
- Would the items in the new block be paid placements, unpaid listings, or a mix of both?
- Which page would carry the block (the results page for a shopping query, the page for a single product, or both), and on which devices?
- Does the new block add space to the page, or must it share the space the ads block uses today?
- Is the decision judged mainly on Google's revenue, on shopper satisfaction, or on outcomes for merchants?
### What a Strong Answer Covers
- The purpose of the block for shoppers, merchants and Google, stated before any metric
- A sizing of the potential upside built from labeled assumptions about traffic, engagement and monetization
- An explicit account of how the block could take clicks or attention away from the existing ads block and other listings
- A primary decision metric with guardrails for shopper experience and merchant value
- An experiment design with launch criteria that would settle the decision
### Follow-up Questions
- If the test showed more total clicks but lower revenue from the existing ads block, how would you decide?
- How would your assessment change if the block's items were unpaid listings instead of ads?
- How would you decide how many items to show and where the block should sit relative to the ads?
Overview: A metrics and opportunity-sizing case about adding a you-may-also-like block of product suggestions next to the existing ads on Google Shopping. It tests defining the block's purpose, sizing upside net of cannibalization, choosing decision metrics and guardrails, and designing an experiment.