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Engagement & Retention

AI Lifecycle Engagement Platform.

An event-driven customer engagement and retention system.

Event-drivenPersonalizationRetention

ai_lifecycle_engagement_platform.project

Concept illustration · not a product screenshot
The right moment matters as much as the message.
A case study in progress

Experience and results reflect my résumé. Sections marked “Documentation pending” await a deeper walkthrough. Screenshots and decision records will be added when available.

PRODUCT SCOPE

A connected product experience.

  • User behavior triggers
  • Personalized messaging
  • Push notification automation
  • In-app messaging
  • Admin monitoring
  • Audience segmentation
  • Lifecycle campaigns
  • Retention & conversion workflows
01

Context

The AI Lifecycle Engagement Platform connects user behavior to audience segmentation, personalized messaging, and push notification workflows across the customer lifecycle.

02

Customer problem

The system supports lifecycle campaign management and the consumers receiving those messages. The key product question is when a message helps the customer; verified research and campaign results have not been supplied.

03

What I owned

Built a Ditto-based lifecycle system that automates personalized push and in-app messaging from user behavior, marketplace activity, and wishlists, with event triggers, audience segmentation, and admin monitoring.

04

Strategy & prioritization

Documentation pending

Document the lifecycle moments selected for the first campaigns and why they deserved attention. Explain the relationship between customer value, message relevance, and business goals.

05

Constraints & options considered

Documentation pending

Record the actual decisions behind trigger immediacy, message frequency, audience overlap, and user consent. Explain how the system resolves competing campaigns without overwhelming recipients.

06

Key decisions & why

Documentation pending

The decisions behind the first version, the alternatives, and the reasoning are still to be written up.

07

Execution

A Ditto-based system connects user behavior, marketplace activity, and wishlists to event triggers and audience segments. It supports personalized push and in-app messages alongside admin monitoring.

08

Outcome & learning

Delivered event-triggered, personalized push and in-app messaging with audience segmentation and admin monitoring. Quantitative retention and conversion results are not included in the supplied résumé.

09

Challenges & lessons

Documentation pending

Add an observed challenge around event reliability, overlapping segments, or notification timing. Describe the product consequence and how the workflow was changed in response.

10

What I’d change

Documentation pending

A proposed next evaluation would audit event quality and campaign overlap, then examine message usefulness alongside opt-outs. This describes future evaluation criteria, not measured retention or conversion lift.

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