For MNTN's Connected TV advertising, how can we optimize for both short-term conversion rates and long-term brand awareness metrics?

Introduction

Optimizing MNTN's Connected TV advertising for both short-term conversion rates and long-term brand awareness metrics presents a classic product trade-off challenge. This scenario involves balancing immediate performance goals with building lasting brand value in the competitive CTV advertising landscape. I'll approach this by analyzing the key aspects of the trade-off, proposing a strategic framework, and outlining an experimental approach to inform our decision-making process.

Step 1

Clarifying Questions (3 minutes)

• Context: I'm thinking about MNTN's position in the CTV advertising market. Could you provide some insight into our current market share and primary competitors?

Why it matters: Helps frame the urgency of short-term vs. long-term focus Expected answer: Mid-tier player with 10-15% market share, competing with larger adtech firms Impact on approach: Would influence the balance between aggressive short-term tactics and long-term brand building

• Business Context: Based on our revenue model, I assume we charge advertisers on a performance basis. Is this correct, and how does brand awareness factor into our pricing or value proposition?

Why it matters: Clarifies the immediate business impact of prioritizing conversions vs. awareness Expected answer: Primary revenue from performance-based pricing, with some brand-focused campaigns Impact on approach: Would affect the weighting of short-term conversion metrics in our decision framework

• User Impact: I'm curious about our advertiser segments. Do we primarily serve large brands, SMBs, or a mix? How might their needs differ regarding conversion rates vs. brand awareness?

Why it matters: Different advertiser segments may have varying priorities and tolerance for trade-offs Expected answer: Mix of advertisers, with larger brands more focused on awareness and SMBs on conversions Impact on approach: Would inform how we segment our analysis and potentially tailor solutions

• Technical: Regarding our CTV ad serving technology, how flexible is it in terms of dynamically optimizing for different goals (conversions vs. awareness) in real-time?

Why it matters: Determines the feasibility of sophisticated, adaptive optimization strategies Expected answer: Current system can optimize for either goal, but not simultaneously Impact on approach: Would influence the complexity of potential solutions and experiment design

• Timeline: Is there a specific timeframe we're working with for implementing and seeing results from any changes we make?

Why it matters: Affects the scope of experiments and the balance between short and long-term metrics Expected answer: Aiming for initial results within Q3, with long-term impact assessed over 12 months Impact on approach: Would guide the duration of experiments and the metrics we prioritize