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Case study / Product concepts

Customer Churn Signal Pipeline

Turn usage, tickets, and invoices into a daily churn-risk score

Period
Product concept

Role
Product direction and workflow design

Type
Independent product concept

Portfolio product concept. This page presents an independent product direction. The proposed workflows and visuals are illustrative and do not claim a shipped product or real customer deployment.

Product preview

Illustrative concept screens · Select any image to zoom

4 screens

Product overview: illustrative concept screen

01 / Overview

A data engineering concept combining product usage, support tickets, invoices, and NPS into a daily churn-risk score with recommended actions.

02 / Challenge

Churn is often discovered only after cancellation.

  • /Signals live in separate tools.
  • /Scores lack explanation.
  • /Outreach is reactive.

03 / Proposed capabilities

  • 01Data ingestion
  • 02Feature engineering
  • 03Churn scoring with reasons
  • 04Retention playbooks
  • 05CRM alerts

Potential technologies

PythondbtPostgreSQLAirflowNext.js

Possible implementation

Proposed implementationPython, dbt, PostgreSQL, Airflow, Next.js

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