I jumped straight into personalization and upsell tactics and felt pretty good about it, but looking back I skipped the part where you actually interrogate the number.
Start by clarifying the metric: per-user spending (ARPU) and the 25% target, then segment users to identify high-leverage opportunities. Structure your answer around a funnel-based approach—acquisition, activation, monetization, retention—and prioritize initiatives by impact and feasibility. Conclude with a measurement plan to validate the impact.
Pro tip: Anchor your answer in Meta's business context: emphasize how increasing ARPU on an e-commerce platform can feed into Meta's ad targeting and commerce ecosystem, showing you understand the broader strategic fit.
Confirm what 'per user spending' means (e.g., ARPU, average order value, or total spend per user) and the timeframe. Ask about the platform's current monetization model and user base to tailor your answer.
Break down users by behavior, demographics, and spending tiers to find where the biggest gains are possible. For example, focus on increasing frequency for occasional buyers or basket size for frequent buyers.
List potential levers across pricing, promotions, personalization, product recommendations, and loyalty programs. Prioritize using an impact/effort matrix, considering Meta's strengths in AI and social graph.
Propose A/B tests or multivariate tests for top initiatives, defining success metrics and guardrails. Outline how you would measure incremental lift and ensure the 25% goal is achievable without harming long-term retention.
Describe how you would analyze results, iterate on winning experiments, and scale successful strategies across user segments. Emphasize continuous learning and alignment with Meta's product principles.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.