E-Commerce / Fashion Retail

Abandoned Cart Recovery and Post-Purchase Automation That Added $220K in 90 Days

A fashion e-commerce brand with a 70%+ cart abandonment rate and no post-purchase automation. After deploying Autogility's revenue system, the brand recovered $220K in additional revenue in 90 days and increased customer lifetime value by 2.4x.

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Industry:

Fashion E-Commerce

Platform:

Shopify + Multi-Channel

Location:

United States

Timeline to Live:

22 days

Services Used:

AI E-Commerce Automation + Marketing Automation

Primary Goal:

Recover cart revenue and increase customer lifetime value

View Our Services

About the Client

The Challenge

  • Cart abandonment above 70% — single recovery email generating under 4% recovery rate
  • Post-purchase journey ending at order confirmation — no upsell, loyalty, or re-engagement sequence
  • 45,000+ customer email list activated only for promotional broadcasts — no segmentation or behavioral flows
  • No lapsed customer re-engagement — significant potential revenue left completely unaddressed
  • No personalization — all customers receiving identical communications regardless of purchase history

Our Approach

01

Revenue Opportunity Audit

02

Customer Segmentation Build

03

Cart Recovery System Build

04

Post-Purchase Journey Design

05

Win-Back Campaign Build

What We Built

Three-Touch Cart Recovery System
Automated sequences at 1 hour, 24 hours, and 72 hours post-abandonment — personalized by cart value and product category, with subject line and offer variants tested continuously.
Seven-Step Post-Purchase Journey
Complete automated communication from delivery updates through cross-sell recommendations, review requests, loyalty recognition, and referral invitation — timed to actual delivery and behavior milestones.
Lapsed Customer Win-Back Flows
Automated re-engagement for customers inactive at 60, 90, and 180 days — escalating messaging and offers calibrated to purchase history and customer lifetime value.
AI Product Recommendation Engine
Personalized product recommendations in post-purchase and browse abandonment flows — based on purchase history, browsing behavior, and real-time inventory.
Customer Segmentation & Lifecycle Automation
Dynamic segmentation updating automatically based on purchase behavior — ensuring every customer receives communication relevant to where they are in their relationship with the brand.

The Results

$220K

Revenue — 90 Days

68%

Cart Recovery Improvement

2.4x

Customer LTV

+31%

Repeat Purchase Rate

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The Revenue Is Already There.
You Just Need the System to Capture It.