CRM / Retention / Winback Strategy Engines

Lifecycle automation engines for conversion, retention, and revenue recovery

Media & Demos

Role

Systems Architect

Period

2026

Category

full stack

Overview

A generalized playbook of production CRM strategy engines: lead capture routing, lifecycle segmentation, retention triggers, and winback automation. Built as reusable strategy architecture, not tied to a single business domain.

Key Highlights

  • Lead-routing engine with source/channel attribution and SLA-based escalation
  • Retention segmentation by lifecycle stage, recency, frequency, and conversion intent
  • Winback automation for dormant cohorts with offer ladders and cadence controls
  • Campaign measurement framework: uplift tracking, holdout groups, and cohort-level LTV
  • Operational safeguards: frequency caps, suppression lists, and policy-compliant messaging windows

Tech Stack

Python / FastAPI
PostgreSQL
Event-Driven Workflows
Lifecycle Automation
Attribution Analytics
A/B Testing

Summary

On-page overview

This is a concise summary of the challenges, solution, and outcome for this project. Use the Case Study button above for the full deep dive.

The Problem

Most businesses run fragmented CRM motions where acquisition, retention, and winback are handled as disconnected campaigns, causing weak attribution and inconsistent follow-through.

The Solution

Defined reusable strategy engines that convert lifecycle state changes into deterministic actions: lead routing, retention nudges, and winback sequences with measurable guardrails.

The Outcome

A generalizable CRM architecture that converts one-off campaign execution into repeatable, analyzable systems.

Team & Role

Architected the full strategy and execution model end-to-end.

What I Learned

CRM performance compounds when lifecycle state, attribution, and message governance are modeled as system primitives rather than campaign spreadsheets.

Chat on WhatsApp