E-commerce Revenue Recovery & Retention Automation System

I designed an e-commerce revenue recovery and retention system to show how online stores can recover abandoned sales and bring more customers back to purchase again.

The system automates key customer journeys including abandoned-cart recovery, post-purchase follow-up, win-back campaigns, repeat-purchase reminders, and customer segmentation.

Instead of relying on manual follow-ups, the workflow uses customer behavior and purchase data to trigger the right action at the right time.

The system follows a simple journey:

Customer Visits → Adds to Cart → Abandons → Automated Follow-up → Purchase → Retention Workflow → Repeat Purchase

I also structured the system to track how customers move through each stage, so the business can see where revenue is being recovered and where customers are dropping off.

The project demonstrates how automation can help an e-commerce brand:

Recover lost sales • Increase repeat purchases • Improve retention • Reduce manual follow-up • Increase customer lifetime value

Tools & technologies: Shopify, Klaviyo/Zoho Marketing Automation, n8n, Make, Zapier, CRM systems, email/SMS automation, and customer-data workflows.

What caught my attention was the stage by stage tracking you built, it should pinpoint exactly where the drop offs happen and where the recovered revenue comes from

This is a practice Virtual Assistant project demonstrating task organization, prioritization, scheduling, and status tracking. I created a simple task tracker to show how I can organize administrative work efficiently. This is a self-created sample and not paid client work.