Introduction
The trade-off between showing more ads on the Facebook Newsfeed versus displaying a "People you may know" recommendation widget is a critical decision that impacts user experience, engagement, and revenue. This scenario involves balancing immediate monetization opportunities with long-term user growth and retention. I'll analyze this trade-off by examining the context, potential impacts, and data-driven decision-making process.
Analysis Approach
I'll start by asking clarifying questions, then identify the trade-off type, analyze the product, and develop a hypothesis. From there, I'll define key metrics, design an experiment, plan data analysis, create a decision framework, and provide a final recommendation with next steps.
Step 1
Clarifying Questions (3 minutes)
- Why it matters: Understanding the current ad saturation helps assess the potential impact of increasing ad frequency.
- Hypothetical answer: The current ad load is 1 ad per 5 organic posts, which is slightly below industry average.
- Impact: If ad load is already high, increasing it further might lead to diminishing returns or user backlash.
- Why it matters: This helps evaluate the effectiveness of the widget in achieving its intended goals.
- Hypothetical answer: The widget has a 5% click-through rate and results in 2 new connections per user per month.
- Impact: Strong performance might favor keeping or expanding the widget, while poor performance could justify its replacement.
- Why it matters: This information helps understand the long-term effects of ads and social connections on user retention.
- Hypothetical answer: Users who see more ads have 5% lower 30-day retention, while those who make more connections have 10% higher retention.
- Impact: This data would strongly influence the decision, potentially favoring the option that boosts long-term retention.
- Why it matters: Understanding the business model helps prioritize between short-term revenue and long-term growth.
- Hypothetical answer: 90% of revenue comes from ads, with the remaining 10% from other sources like marketplace fees.
- Impact: High dependence on ad revenue might push towards increasing ad load, but not at the expense of user engagement.
- Why it matters: Aligning with broader company strategy is crucial for long-term success.
- Hypothetical answer: There's a plan to launch a new feature for discovering local events and businesses in the next quarter.
- Impact: This could influence the decision, as the "People you may know" widget might synergize well with a local discovery feature.
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