Meta·Data Scientist·Technical Phone Screen·Senior

Senior

Jul 2026

Summary

Meta DS interview with a product scenario about ad targeting strategy. One meaty question that pushed into monetization tradeoffs, not just metrics.

Questions Asked (1)

A PM wants to serve ads exclusively to high-intent users. Walk through the pros and cons across revenue, user experience, and long-term growth.

Pricing & MonetizationProduct StrategyProduct Analytics & Metrics

Author's notes

I jumped straight to 'more revenue per impression' and felt pretty good about that angle, but then kind of stalled when thinking about what you lose.

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AI HintsAI Generated

Suggested Approach

Start by clarifying what 'high-intent' means and how it would be operationalized (e.g., predicted conversion probability). Then systematically evaluate the trade-offs across revenue, user experience, and long-term growth, using a structured framework that considers both short-term metrics and long-term ecosystem health. Conclude with a balanced recommendation that acknowledges the tension between these dimensions and suggests potential mitigations.

Pro tip: Frame the analysis around the advertiser's perspective as well—high-intent targeting may improve ROI for advertisers but could also lead to auction pressure and higher costs, which might deter smaller advertisers and reduce auction density. This shows you understand the two-sided marketplace dynamics.

1. Define High-Intent and Clarify Assumptions

Ask clarifying questions to understand how high-intent is defined (e.g., based on predicted conversion, engagement, or explicit signals) and what 'exclusively' means (e.g., all ads only to high-intent users). State assumptions clearly.

2. Analyze Revenue Impact

Consider short-term revenue effects: higher CTR and conversion rates may increase ad revenue per impression, but reduced inventory (fewer eligible users) could lower total impressions and auction density, potentially offsetting gains. Also consider advertiser demand and pricing dynamics.

3. Evaluate User Experience

Assess how targeting only high-intent users affects ad relevance and user satisfaction. High-intent users may see more relevant ads, improving experience, but if they feel over-targeted or if ads become too frequent, it could lead to ad fatigue or privacy concerns.

4. Assess Long-Term Growth Implications

Examine effects on user trust, engagement, and platform growth. Over-optimizing for high-intent users might neglect the broader user base, reduce ad diversity, and hinder the ability to train models on diverse data, potentially harming long-term personalization and monetization.

5. Synthesize Trade-offs and Recommend

Weigh the pros and cons across the three dimensions, propose potential mitigations (e.g., hybrid targeting, gradual rollout), and suggest metrics to monitor (e.g., revenue per user, user retention, advertiser ROI).

Key Points to Mention

Definition and operationalization of 'high-intent' (e.g., predicted conversion probability, engagement signals).
Revenue trade-offs: higher conversion rates vs. reduced ad inventory and auction density.
User experience: improved relevance vs. potential ad fatigue and privacy concerns.
Long-term growth: impact on user trust, engagement, and model training data diversity.
Advertiser perspective: ROI improvements vs. increased competition and costs.
Potential mitigations: hybrid targeting, A/B testing, monitoring key metrics.

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.