Competitive Analysis and Benchmarking Questions

Covers frameworks and hands on techniques for researching, measuring, and benchmarking competitors using quantitative data and tools. Topics include identifying direct and indirect competitors, mapping channels and acquisition strategies, comparing product positioning and value propositions, and inferring growth and monetization metrics such as user counts, growth rates, ranking trends, retention signals, and revenue models. Practical skills include using SEO and market intelligence platforms and data sources such as SEMrush, Ahrefs, Moz, Screaming Frog, Google Search Console, Google Analytics, SimilarWeb, Sensor Tower, and app store research; extracting competitor keyword and backlink strategies; analyzing content performance and search ranking features; triangulating multiple data sources; recognizing tool limitations and data quality issues; and translating analytical insights into prioritized strategic recommendations, experiments, and tracking metrics for growth and product decisions.

MediumTechnical

0 practiced

Write a SQL query to compute 30-day retention using the table `events(user_id, event_date)` where event_date is a date. Define retention as users who performed any event in both day 0 (first seen) and between day 1 and day 30 after first seen. Provide assumptions and explain edge cases like users first seen less than 30 days ago.

HardTechnical

0 practiced

A competitor launched a viral referral mechanic and is experiencing rapid growth. As Growth PM, propose a rapid 30/60/90 day plan including detection metrics to confirm impact, experiments to neutralize or compete, possible product responses (short-term and long-term), and a communications plan to customers and sales.

MediumTechnical

0 practiced

A competitor rose to #2 in the App Store category in your market last week. Using Sensor Tower / App Annie, what signals would you analyze to infer their acquisition tactics (paid UA, organic features, partnerships)? For each signal, describe the interpretation and a hypothesis you could test in 30 days.

EasyTechnical

0 practiced

Describe a repeatable process to use SEMrush / Ahrefs / Moz to extract a competitor's top organic keywords and backlink anchors. Include specific export steps, how you'd clean the data, and a simple scoring method to surface the top 20 priority keywords for content or landing pages.

MediumTechnical

0 practiced

Write a PostgreSQL query to return the top 10 referral domains by session count for the last 30 days, given the table schema:

referrals( id serial primary key, domain text, sessions integer, recorded_at date)

Return columns: domain, total_sessions. Include handling of null domains and explain assumptions about session aggregation.

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