What it does

Use when a user mentions "engaged non-buyer conversion", "high-engagement-low-conversion", "stuck free user journey", or asks for related help. Free/trial users who consistently engage with the product (multiple sessions, deep feature use, opens marketing emails) but haven't converted after 30+ days get a diagnostic intervention — personalized offer + AE/human touch option + agent handoff. NOT generic upgrade nag.

You get

Attribute

AI-Derived Attribute produced by this recipe.

Segment

Segment produced by this recipe.

Content Asset

Asset produced by this recipe.

agent

AI Agent Scenario produced by this recipe.

Journey

Journey produced by this recipe.

Dashboard

Dashboard produced by this recipe.

How it works

1

Build Engagement-vs-Conversion AI Attribute

create_ai_attribute

Create an AI-derived attribute

Produces:Attribute

2

Identify Engaged Non-Buyers

Create Segment

Build a segment

Produces:Segment

3

Build Diagnostic Content

Generate Content

Generate diagnostic email variants per inferred blocker. Price-sensitivity blocker:

Produces:Content Asset

4

Build Agent Diagnostic Flow

create_agent

Configure an AI agent scenario

Produces:agent

5

Build Conversion Journey

Create Journey

Build a 3-touch diagnostic journey wired to engaged-non-buyer segment. Touch 1 (Day 0 of entry): diagnostic email matched to inferred blocker. Touch 2 (Day 3, if no engagement): in-app chat invitation to the diagnostic agent on next session. Touch 3 (Day 7, if still no conversion): personalized AE outreach task with the full engagement-paradox profile + inferred blocker + suggested approach attached. Exit on: subscription_created (won — celebrate), explicit decline / opt-out, or successful agent diagnostic (handoff to appropriate downstream — sales, support, or PM).

Produces:Journey

6

Build Engagement-Paradox Dashboard

Build Dashboard

Compose an engaged-non-buyer dashboard: paradox-cohort size over time (is this cohort growing or shrinking — product fit signal), conversion lift vs. control (cohort getting this journey vs. holdout staying on generic free-tier nurture), conversion by inferred blocker (which diagnostic angle actually converts — informs pricing/product/sales-collateral decisions), agent-diagnostic completion rate, and time-to-conversion distribution (most paradox conversions happen within 14 days of journey entry — if not, the blocker is structural).

Produces:Dashboard

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Engaged Non Buyer Conversion

What it does

You get

How it works

Build Engagement-vs-Conversion AI Attribute

Identify Engaged Non-Buyers

Build Diagnostic Content

Build Agent Diagnostic Flow

Build Conversion Journey

Build Engagement-Paradox Dashboard

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