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Core Concepts

Conversational Funnel

The journey users take from initial AI conversation to conversion. Unlike traditional funnels, conversational funnels are non-linear and context-dependent.

Detailed Explanation

The Conversational Funnel reimagines the customer journey for the AI era. Traditional marketing funnels are linear (awareness → consideration → decision) and based on discrete touchpoints (ad click → landing page → form submission). Conversational funnels are fluid and non-linear. A user might move from awareness to decision and back to consideration within a single conversation. They might ask exploratory questions, then specific product questions, then general questions again as they think through their decision. The AI maintains context throughout, and users can jump between stages naturally. For brands, this means you need visibility and relevant information at every stage, because users can enter and move through the funnel in unpredictable ways. It also means the conversation itself is the funnel—there's no separate landing page or form. The AI conversation is where awareness, consideration, and decision all happen.

Examples

1

A user starts by asking 'What is conversational AI?' (awareness), then 'What are the best conversational AI platforms?' (consideration), then 'Tell me more about how conversational AI works' (back to awareness), then 'How much does conversational AI cost?' (decision)

2

Within one conversation, a user explores multiple product categories, compares options, asks for specific features, and requests pricing—all fluidly without following a linear path

3

A user might ask decision-stage questions first ('What's the pricing for X?') before asking awareness-stage questions ('What exactly does X do?')

Why It Matters

Understanding conversational funnels helps you optimize for the non-linear, context-dependent way users actually interact with AI assistants. It ensures you have the right information available at every stage and can guide users to conversion regardless of their path.

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