Lead generation
Attract, qualify, and convert your ideal clients — with an AI product that does the first conversation for you.
The most common use case on Productised is lead generation — and it's where the platform delivers the most immediate, measurable return.
Traditional lead magnets (PDFs, checklists, mini-courses) attract attention but don't qualify. Contact forms collect information but don't impress. A Productised lead generation product does both: it delivers genuine value to the person going through it, and gives you exactly the data you need to follow up with confidence.
How it works
A lead generation product on Productised collects the right information through a natural AI conversation — typically 5–10 questions — then delivers a personalised outcome that reflects their specific situation. At the same time, their details and decision result are captured in your analytics and routed to your CRM automatically.
The outcome is what does the heavy lifting. When someone receives a personalised diagnostic report that accurately describes their situation, identifies what's holding them back, and presents a clear next step — they don't feel like they've been marketed to. They feel understood. That's the moment that converts.
What to build
Lead diagnostic → Report
Ask 6–10 questions. Evaluate against your framework. Deliver a personalised diagnostic report with a CTA routing high-fit leads to your calendar.
Readiness scorecard → Report
Score someone's readiness across multiple dimensions. Deliver a visual breakdown with a personalised recommendation for their next step.
Offer qualifier → Offer
Understand someone's situation. Present a personalised commercial recommendation — your service, framed around their specific need.
Discovery call filter → Redirect
Route high-fit leads straight to your calendar. Send everyone else to a nurture sequence or lower-ticket entry point.
What the AI decides
In a lead generation product, the AI Product's decision model is typically set to Lead Fit — evaluating each person on how well they match your ideal client profile. The outcome they receive is shaped by that evaluation:
- A high-fit lead receives a report that emphasises their strengths and presents your offer with confidence
- A lower-fit lead receives a report that's still genuinely valuable — with a different recommendation and CTA
Both experiences feel personal. Neither feels like a funnel.
The advantage over standard lead magnets
A static PDF says the same thing to everyone. An AI product says something different to each person — because it's built from their conversation.
This is also why Productised outcomes go beyond what native AI capabilities deliver on their own. An AI conversation without a structured outcome is a chat. A Productised product produces a report that gets saved, a document that gets downloaded, an offer that gets acted on. These are real deliverables that exist in the world — not platform artifacts that disappear when the session ends.
Powers that enhance lead generation products
- Research — pull in live market data to make your diagnostic report feel researched and current
- Knowledge — ground the AI's recommendations in your proprietary methodology
- Visual Insights — add score gauges and charts to make results land harder
- Connections — route completed leads to your CRM, tag them by fit level, and notify your team automatically