Historical review from 2026-11-03. Current price and availability are unconfirmed; check the original marketplace.
Get Funneled delivers $18.4K/mo revenue with exceptional 90% profit margins and a 1.51x annual profit multiple—well below market. The 22-month operating history, verified financials via TrustMRR, and AI-native positioning suggest genuine profitability. The business model is productized service delivery where AI handles 97% of execution, reducing founder dependency. Key confirmations needed: customer count, churn/retention, and the mechanics of AI-driven delivery to ensure durability beyond the current seller.
Building a D2C post-click funnel platform with AI automation at MVP scope—landing page builder, AI copywriting integration (via OpenAI/Anthropic APIs), basic analytics, and template library—would cost $8–18K in hosted infrastructure, AI API subscriptions, and no-code/low-code tools (Bubble, Zapier, Make), plus 10 weeks solo development. The acquisition case rests primarily on verified revenue traction ($16.6K/mo profit), exceptional margins, and proven customer acquisition in a specific niche. However, the buyer acquires no detailed customer data, churn metrics, or technical documentation about the AI integration specifics. If the 90% margins hold post-acquisition and customers remain sticky (both unconfirmed), the verified monthly profit and below-market multiple justify purchase over building. If churn is hidden or margins depend on unsustainable manual intervention, build becomes lower-risk. Verdict: BUY, assuming customer retention and margin sustainability are confirmed in diligence.
Cash estimate includes the AI tools, APIs and infrastructure needed for a solo founder to recreate the software. Build time is informational and lightly weighted. The verdict is driven mainly by customers, users, verified earnings, retention, distribution, brand, data and operating history.
AI Native post click funnel experience for D2C brands Productized service offering that AI does 97% of the work for
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Preliminary screening based on marketplace and public data. Verify all financial, legal, technical, customer, and operational claims independently before making an acquisition decision. This is not financial or legal advice.