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Engaged users who never buy

Identifies highly engaged free users who have not converted, sending targeted email check-ins and routing replies using sentiment analysis.

Authored by Intempt Technologies

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Agentic workflow

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6 steps Blu runs end to end. It drafts a plan and nothing runs until you approve it.

  1. 1

    Measure the gap

    Coming soon

    Blu builds a step

  2. 2

    Find engaged free users

    Coming soon

    Blu builds a step

  3. 3

    Write one email per blocker

    Coming soon

    Blu builds a step

  4. 4

    Ask what is stopping them

    Coming soon

    Blu builds a step

  5. 5

    Diagnose, then bring a human in

    Coming soon

    Blu builds a step

  6. 6

    See which angle converts

    Coming soon

    Blu builds a step

About this recipe

When to use it

Free or trial users who use the product heavily but haven't converted after 30+ days aren't disengaged, they're stuck on something specific. This runs a real diagnostic intervention instead of another nag.

What it delivers

For free/trial users who consistently engage but haven't converted after 30+ days, runs a diagnostic intervention - a personalized offer, an AE/human touch option, and an agent handoff - not a generic upgrade nag.

How you prompt this

Describe the outcome in your own words and Blu Agent maps it to this recipe, or run it by name. It drafts a plan first and nothing runs until you approve it.

Tell Blu Agent what you want

“Identifies highly engaged free users who have not converted, sending targeted email check-ins and routing replies using sentiment analysis.”

recipe.md preview

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Inputs & outputs

What the recipe needs before it runs, and what it leaves in your workspace.

Inputs

  1. Nothing declared beyond an Intempt workspace. Blu asks for anything else it needs as it goes.

Outputs

    How the recipe runs

    Blu follows the steps in order and shows you each one before anything goes live.

    1. 01Measure the gapCreate an AI-derived attribute 'engagement_paradox_score' on the User object. Calculates the gap between engagement intensity and conversion behavior. Inputs: sessions in last 30 days, feature breadth/depth, marketing email engagement (opens / clicks), in-product activity vs. typical-converter benchmarks. High score = the user behaves like a converter SHOULD behave, but hasn't converted. Output: numeric 0-100. Score >= 70 = high engagement paradox (engaged but stuck: the most interesting cohort). Includes a diagnostic field naming the likely blocker (price-sensitivity / feature-gap / authority-issue / decision-paralysis / no-urgency) inferred from behavior patterns.
    2. 02Find engaged free usersBuild a segment 'Engaged non-buyers - last 60 days' capturing users where (a) account age is 30+ days AND (b) subscription_status is free or trialing AND (c) engagement_paradox_score >= 70. Excludes users in active sales conversations (don't double-orchestrate) and users who explicitly declined an upgrade in the last 90 days (respect the no). Use the result of "Measure the gap".
    3. 03Write one email per blockerGenerate diagnostic email variants per inferred blocker. Price-sensitivity blocker: 'You're using [Product] like a paid customer: here's a 30% retention discount for the first 3 months.' Feature-gap blocker: 'We noticed you tried [feature X] but didn't continue. Here's what most users do next: and 1:1 help if you'd like.' Authority-issue blocker: 'Need help making the case internally? Here's a business-case template + your team's usage summary to share with your manager.' Decision-paralysis blocker: 'You've evaluated [Product] thoroughly. Want a 15-min decision-clarity call?' No-urgency blocker: 'No rush: but if a deadline is approaching, here's a limited-time price-lock offer.' Send-from: success@ or matched AE. Use the result of "Measure the gap", "Find engaged free users".
    4. 04Ask what is stopping themConfigure an AI agent scenario 'Engaged non-buyer diagnostic' that engages high-engagement-paradox users via in-app chat or email reply. Scenario: surface user's product usage warmly ('I see you've been using [Product] for 45 days: that's great!'), then ask the diagnostic question ('What's keeping you from upgrading? Cost, features, internal approval, timing, or something else?'). Branch on response: route price to retention-discount offer, feature-gap to PM-feedback queue + feature-roadmap signal, authority to business-case generation, timing to deferred-followup, other to human handoff. The agent generates qualified diagnostic signal for the AE/CSM, not raw chat. Use the result of "Measure the gap", "Find engaged free users".
    5. 05Diagnose, then bring a human inBuild 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 started (won (celebrate), explicit decline / opt-out, or successful agent diagnostic (handoff to appropriate downstream) sales, support, or PM). Use the result of "Measure the gap", "Find engaged free users", "Write one email per blocker", "Ask what is stopping them".
    6. 06See which angle convertsCompose 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). Use the result of "Measure the gap", "Find engaged free users", "Write one email per blocker", "Ask what is stopping them", "Diagnose, then bring a human in".

    Install Intempt and run it

    1. 1

      Sign up

      Create a free Intempt workspace.

    2. 2

      Connect your data

      Add the sources this recipe reads from.

    3. 3

      Ask Blu

      Type /engaged-non-buyer-conversion in Blu once this recipe is live there.

    4. 4

      Review and approve

      Blu builds each step and waits for your OK before anything goes live.

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