Recovering $85,000 in Lost Revenue Through Abandoned Cart & Browse Abandonment Flows

⚡ The Challenge

The fashion retailer was generating steady website traffic through paid ads, organic search, social media, and returning visitors

Product pages were receiving engagement, and customers were adding items to cart

However, too many shoppers were leaving before completing the checkout

This created a serious revenue leak

In fashion eCommerce, abandonment happens for many reasons

Customers may be comparing prices, checking shipping costs, waiting for payday, unsure about sizing, distracted by another task, or simply not ready to buy at that moment

Sometimes they love the product but need one more reminder before purchasing

Before working with MTI Tech, the brand's recovery system was weak

The abandoned cart emails were basic and generic

Browse abandonment was not properly built

SMS was either missing or not connected to customer behavior

There was no strong segmentation between shoppers who only viewed a product and shoppers who added items to cart

As a result, high-intent customers were slipping away

The main problems were

The brand needed a smarter recovery system that could automatically identify intent and send the right reminder at the right time

🎯 The Goal

The main goal was to recover revenue that was already being lost inside the funnel

Instead of spending more money on new traffic, MTI Tech focused on converting the visitors the brand already had

These customers had already shown buying interest by viewing products, adding items to cart, or starting checkout

That made them much warmer than a completely new audience

The project had three core goals

To achieve this, MTI Tech built two major automation systems

Together, they created a stronger recovery engine for the fashion retailer

📋 The Strategy

MTI Tech started by mapping the customer journey inside Shopify and Klaviyo

The goal was to understand where shoppers were dropping off and what type of message would be most effective at each stage

A customer who only views a product is interested but not fully committed

That shopper may need inspiration, product education, social proof, or styling ideas

A customer who adds a product to cart is much closer to purchase

That shopper may need urgency, reassurance, delivery confidence, sizing support, or a simple reminder to complete checkout

A customer who starts checkout is even more valuable

This shopper has shown the highest level of intent and should receive faster, more direct recovery communication

Based on this behavior, MTI Tech created a layered recovery strategy

The strategy included

The messaging was designed to feel helpful, not aggressive

For a fashion brand, tone matters

Customers should feel guided back to the product, not pressured

🔗 Shopify and Klaviyo Integration

Shopify was the main eCommerce platform, while Klaviyo was used for customer data, segmentation, and automation

MTI Tech connected customer behavior from Shopify into Klaviyo so that the flows could trigger based on real shopping actions

The automation system tracked actions such as

This allowed MTI Tech to build flows that responded to customer intent

For example, if a shopper viewed a product but did not add it to cart, they entered the Browse Abandonment Flow

If they added the product to cart but did not purchase, they moved into the Abandoned Cart Flow

If they completed the purchase, they were automatically removed from recovery messaging to avoid sending irrelevant emails

This improved customer experience and prevented unnecessary reminders after purchase

👀 Flow 1: Browse Abandonment Flow

The Browse Abandonment Flow was designed for shoppers who viewed a product but did not add it to cart

These customers were interested, but they were still early in the decision process

The goal was to bring them back with inspiration and confidence

The flow included

🛒 Flow 2: Abandoned Cart and Checkout Recovery Flow

The Abandoned Cart Flow was built for customers with stronger purchase intent

These shoppers had added items to cart or started checkout

This flow had a more direct conversion focus

The flow included

📱 SMS Recovery Layer

SMS was added as a high-intent recovery channel

MTI Tech did not use SMS for every shopper

Instead, SMS was reserved for customers who had shown stronger purchase intent and had opted in to receive text messages

SMS reminders were short, direct, and easy to act on

The SMS included a direct link back to checkout, reducing friction and making it easy for customers to return

SMS worked especially well for mobile shoppers because many fashion purchases happen on mobile devices

A short text reminder could bring the shopper back at the exact moment they were ready to complete the purchase

📈 Results

After MTI Tech implemented the Abandoned Cart and Browse Abandonment flows, the fashion retailer recovered $85,000 in lost revenue

The new automation system improved the brand's ability to convert shoppers who were already showing interest

Key results included

The Abandoned Cart Flow became one of the brand's highest-performing automation flows because it targeted customers closest to purchase

The Browse Abandonment Flow also played an important role by warming up shoppers earlier in the decision process and bringing them back before they fully disappeared

Together, these flows created a more complete recovery system

💡 Why It Worked

The strategy worked because MTI Tech focused on customer intent

Not every website visitor is the same

Someone who only views a product needs a different message from someone who has already started checkout

By separating browser abandonment from cart abandonment, the brand delivered more relevant communication

The system also worked because it combined multiple conversion triggers

Instead of sending one basic abandoned cart email, MTI Tech created a multi-step recovery journey

This helped customers return to the website and complete purchases they had already considered

🎯 Key Takeaway

This case study shows that abandoned cart and browse abandonment flows can become major revenue recovery tools for fashion eCommerce brands

By using Shopify, Klaviyo, and SMS recovery, MTI Tech helped a fashion retailer recover $85,000 in lost revenue while improving cart recovery rate and conversion performance

For brands like TELFAR, where product demand, customer behavior, and timely communication are extremely important, automated recovery flows can directly support revenue growth

A strong CRM system ensures that interested shoppers do not simply disappear

Instead, they are reminded, reassured, and guided back to complete the purchase