Valuation Results

No usable profit or revenue figures were provided, so the valuation defaults to an asking-price fallback. I attempted to build valuations from trailing twelve-month profit or revenue (or from monthly averages annualized), but neither profit nor revenue inputs were available. Year-over-year revenue growth was set to 0.0 because prior-year monthly revenue is missing, so no growth signal could be calculated. Key traffic and SEO indicators are also absent: unique visitor counts, domain authority/authority score and referring domain counts are not provided, so I could not apply SEO or backlink modifiers. Customer economics are similarly missing: churn rate, conversion, LTV and CAC are unavailable, preventing unit-economics adjustments. With that lack of data, I applied a conservative approach using the seller's asking price of 10000000 as the anchor and produced a low estimate at 85 percent (8500000) and a high estimate at 110 percent (11000000) to reflect a reasonable negotiation range around the ask. The absence of projections, proof of recurring revenue, traffic trends and unit economics materially increases uncertainty, so these valuations should be treated as preliminary. To produce a more rigorous range, provide TTM revenue or profit, average monthly revenue/profit, visitor and backlink metrics, churn, and LTV/CAC; with those I would apply profit- or revenue-based multiples and growth, SEO, referral and risk modifiers to arrive at a data-driven valuation.