Prioritize Growth Segments with Data

Company Context

FitBuddy is a consumer subscription app offering personalized workout plans, nutrition tracking, and AI coaching. The company has 3.2 million registered users across North America and Western Europe, with 410,000 monthly active users and $28 million in annual recurring revenue. FitBuddy has grown quickly through broad-based paid acquisition, but growth has slowed over the last two quarters and marketing efficiency is deteriorating. The CEO wants a data-driven recommendation on which user segment should be the primary target for the next 12 months of growth investment.

Strategic Situation

FitBuddy currently serves a wide mix of users: college students, young professionals, parents, and adults over 45; free and paid users; casual and high-frequency exercisers. Historically, the company has marketed broadly, but CAC has risen 32% year over year and leadership believes the business is under-segmented. The immediate decision is where to focus limited product, marketing, and partnership resources: which user segment offers the best combination of acquisition efficiency, retention, monetization, and strategic defensibility.

Data Points

Additional business facts:

• Current paid subscriber base: 212,000 users; blended gross margin: 78%
• Marketing budget available for the segment-focused push: $8 million over 12 months
• Product team can support only one major segment-specific roadmap and two tailored acquisition channels this year
• Main competitors: Strava (community/athlete focus), Noom (behavior change/weight loss), Nike Training Club (broad fitness), and local gyms with digital offerings

Deliverables

You are the incoming Head of Growth Strategy. Prepare a recommendation for the executive team.

1. Define how you would use data to identify the highest-value target segment.
2. Compare the four segments using a clear value framework, including market size and unit economics.
3. Recommend one primary segment to target for growth over the next 12 months.
4. Explain what go-to-market approach and product investments should follow from that choice.
5. Identify the biggest risks, assumptions, and what data you would validate first.

Constraints

• Recommendation must be actionable within 90 days
• Budget is capped at $8 million incremental spend
• No major pricing changes allowed in the next 6 months
• Engineering capacity is limited to one segment-specific product initiative and one retention initiative
• Leadership expects a path to at least $10 million in incremental ARR within 12 months