← Walmart Labs Interview Insights

Walmart Labs·Software Engineer·Onsite - Product Sense / Strategy·Senior

SeniorPrefer not to say
Apr 2026

Summary

Walmart Labs adtech PM interview, one question about platform metrics. Not much else to go on but it was a meaty enough question that I spent most of the time just trying not to ramble.

Questions Asked (1)

Q1

What are the most important KPIs for an adtech platform, and what's the reasoning behind each one?

Product Analytics & MetricsProduct StrategyPricing & Monetization
Author's notes

I started with advertiser-side metrics like ROAS and CPM, then tried to cover publisher-side fill rate and eCPM.

Create a free account to read the full note

AI HintsAI Generated

Suggested Approach

Start by clarifying the adtech platform's business model (e.g., demand-side, supply-side, or retail media) and then group KPIs into categories like revenue, operational efficiency, and user engagement. For each KPI, explain its importance and how it ties to business outcomes, emphasizing the engineering implications for tracking and optimizing them.

Pro tip: Tie KPIs to Walmart Labs' retail media context—e.g., ROAS for advertisers, fill rate for publishers—and mention how engineering decisions (like latency reduction) directly impact these metrics.

1. Clarify the platform type and business goals

Ask or state assumptions about whether it's a DSP, SSP, ad exchange, or retail media network, as KPIs vary. Align KPIs with primary goals like revenue growth, advertiser retention, or user experience.

2. Categorize KPIs into key areas

Group KPIs into revenue (e.g., eCPM, ARPU), operational (e.g., fill rate, latency), and engagement (e.g., CTR, viewability). This structure ensures comprehensive coverage.

3. Select and justify the most important KPIs

Choose 3-5 KPIs that are critical for the platform's success, explaining why each matters. For example, fill rate indicates inventory monetization efficiency, while CTR reflects ad relevance.

4. Connect KPIs to engineering impact

Discuss how engineering can influence these KPIs—e.g., optimizing auction latency to improve fill rate, or implementing real-time bidding to boost eCPM. This shows technical depth.

5. Summarize with a balanced scorecard approach

Conclude by emphasizing that no single KPI tells the whole story; a balanced set covering revenue, operations, and user experience is essential for sustainable growth.

Key Points to Mention

  • eCPM (effective cost per mille) – measures revenue per thousand impressions, crucial for monetization.
  • Fill rate – percentage of ad requests successfully filled, indicating inventory utilization and demand.
  • CTR (click-through rate) – measures ad engagement and relevance, impacting advertiser ROI.
  • Viewability – percentage of ads that are actually seen, important for brand advertisers and pricing.
  • Latency – time to serve ads, directly affecting user experience and fill rate; critical for real-time bidding.
  • ROAS (return on ad spend) – for retail media, measures advertiser success and platform value.

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