First, it shows using keyword tools and trend data to quantify search volume, seasonality, and CPC to spot demand. Second, it walks through competitor gap analysis. Third, it trains on customer-intent signals from analytics: high bounce rates, short session times, and low conversion pages flag weak fit. Fourth, A/B and small-budget ad tests measure real willingness to pay before scaling. Fifth, cohort and funnel analyses reveal lifetime value and churn risks. Finally, it ties all findings into a scoring model so you can rank niche candidates objectively and pick the most profitable one.