For CHEQ's programmatic ad verification, how should we weigh real-time blocking capabilities against potential latency issues in ad delivery?

Introduction

The trade-off between real-time blocking capabilities and potential latency issues in ad delivery for CHEQ's programmatic ad verification is a critical challenge. This scenario involves balancing the need for effective fraud prevention with the imperative of maintaining seamless ad delivery. I'll analyze this trade-off by examining the product context, identifying key metrics, designing experiments, and providing a strategic recommendation.

Step 1

Clarifying Questions (3 minutes)

• Based on recent market trends, I'm thinking ad fraud might be a growing concern. How significant is the current impact of ad fraud on our clients' campaigns?

Why it matters: Helps quantify the problem we're solving Expected answer: Ad fraud is costing clients 10-20% of their ad spend Impact on approach: Higher fraud rates would justify more aggressive blocking

• Considering user experience, I'm assuming latency is a key factor in ad engagement. What's our current average latency for ad delivery, and how sensitive are our clients to changes in this metric?

Why it matters: Establishes baseline and sensitivity to latency changes Expected answer: Current latency is 100ms, clients notice 50ms+ increases Impact on approach: High sensitivity would require more careful latency management

• Looking at our tech stack, I'm thinking our current architecture might influence our ability to implement real-time blocking. What's our current infrastructure's capacity for real-time decision making?

Why it matters: Determines technical feasibility of real-time blocking Expected answer: Current system can handle 10,000 decisions per second Impact on approach: Lower capacity would require phased implementation

• Considering our revenue model, I'm assuming we charge based on the volume of ads verified. How would implementing stricter real-time blocking affect our revenue in the short term?

Why it matters: Helps balance business impact with product improvements Expected answer: Stricter blocking could reduce billable ad volume by 5-10% Impact on approach: Significant revenue impact might require gradual rollout

• Given the competitive landscape, I'm thinking time-to-market might be crucial. How urgent is this feature compared to other priorities on our roadmap?

Why it matters: Helps prioritize this feature against other initiatives Expected answer: High priority, aiming for release within next quarter Impact on approach: High urgency might justify accepting some trade-offs