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Intempt
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Churn prevention

Flags customers who are drifting away, reaches them automatically while it is still cheap to fix, and pulls in a CSM when it is not.

Authored by Sid Chaudhary

Founder & CEO at Intempt

Agentic workflow

Coming soon

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

  1. 1

    Score churn risk

    Coming soon

    Blu builds a step

  2. 2

    Split into low, medium and high

    Coming soon

    Blu builds a step

  3. 3

    Tell the CSM about high risk

    Coming soon

    Blu builds a step

  4. 4

    Write the win back emails

    Coming soon

    Blu builds a step

  5. 5

    Reach medium risk first

    Coming soon

    Blu builds a step

  6. 6

    Compare churn by risk tier

    Coming soon

    Blu builds a step

  7. 7

    See if the saves are working

    Coming soon

    Blu builds a step

About this recipe

When to use it

Most churn prevention starts too late, after the user has already decided. This scores risk with AI, alerts the CSM, and fires re-engagement while there's still time to change the outcome.

What it delivers

Runs AI-derived churn risk scoring, alerts CSMs on at-risk accounts, fires automated re-engagement, and measures retention outcomes.

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

“Flags customers who are drifting away, reaches them automatically while it is still cheap to fix, and pulls in a CSM when it is not.”

recipe.md preview

Built from the published catalog. Blu Agent's full step prompts load in your workspace when you run it.

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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. 01Score churn riskDefine an AI-derived churn_risk_score attribute using engagement decline, support ticket sentiment, and feature-usage signals.
    2. 02Split into low, medium and highSegment users into low/medium/high churn-risk buckets. Use the result of "Score churn risk".
    3. 03Tell the CSM about high riskCreate a workflow alerting CSMs when high-risk users cross the threshold, with context payload to Slack. Use the result of "Score churn risk", "Split into low, medium and high".
    4. 04Write the win back emailsGenerate re-engagement content: win-back-feature emails, success-story emails, value-reminder emails. Use the result of "Score churn risk", "Split into low, medium and high", "Tell the CSM about high risk".
    5. 05Reach medium risk firstBuild a journey for medium-risk users with auto-engagement before CSM intervention is needed. Use the result of "Score churn risk", "Split into low, medium and high", "Tell the CSM about high risk", "Write the win back emails".
    6. 06Compare churn by risk tierCompose a retention report tracking churn rate by risk tier and intervention type. Use the result of "Score churn risk", "Split into low, medium and high", "Tell the CSM about high risk", "Write the win back emails", "Reach medium risk first".
    7. 07See if the saves are workingCompose a dashboard showing risk distribution, intervention success rate, and net retention impact. Use the result of "Score churn risk", "Split into low, medium and high", "Tell the CSM about high risk", "Write the win back emails", "Reach medium risk first", "Compare churn by risk tier".

    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 /churn-prevention 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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