Free-tier generosity killed conversions — limit prompts to convert users

Many consumer investing apps have eroded their paid-conversion funnels by being overly generous on free tiers: unlimited prompts and full research access satisfy beginner curiosity but keep conversion in the low single digits, leaving value capture on the table. The people most affected are the roughly 60 million global beginner and casual retail investors who want simplified, readable analysis and are willing to pay for confidence and time savings—a segment that supports an $18.0B addressable market at about $300 ARPU/year. You could build a subscription-first, LLM-powered research assistant that intentionally limits free prompts and offers clearly graduated access to higher-value capabilities—personalized watchlists, exportable one-page theses, and scheduled briefings—designed to move users from free to paid without destroying trust. Priceing and packaging should target the $100–$300/year window, with experiments to lift conversion from low single digits to sustainable double digits while tracking LTV/CAC and inference cost per dollar of revenue. This is an attractive moment: LLMs make high-quality, readable analysis achievable at scale, retail investing continues to expand with fractional shares and low fees, and consumers are increasingly comfortable with micro-SaaS subscriptions (market score 92/100, revenue potential 78/100). Competition is medium, so differentiation is possible but not guaranteed. To stand out, emphasize explainability, human-in-the-loop editorial quality, and regulatory-safe disclosures, plus partner integrations with brokers to reduce friction; operationally, prioritize prompt-cap UX experiments and tight cost controls on model usage. Be candid about challenges: unit economics hinge on LLM costs and conversion lift, customer acquisition remains nontrivial, and compliance/content liability will require early legal design.