CORDIE LACEY
CASE STUDY: Custom Apparel E-Commerce
eCommerce Conversion
Optimization
Reduced Cart
Abandonment
18%
See additional KPIs in the "Results" section below.
Here is what happened...
Summary
Despite continuously attracting customers worldwide, high-intent shoppers were making it all the way to checkout, only to back out at the last minute because the experience was confusing, slow, and had little trust—especially on mobile. And, limited access to data disabled clear indications of the core problem(s). As the Senior Product Manager, I led a cross-functional initiative to connect Shopify, GA4, and a Customer Data Platform into a single analytics layer for clear assessments and prioritized objectives. Additionally, there was a significant need to optimize the end-to-end mobile checkout experience for speed and simplicity, and to inject trust-building elements (like clear policies and security signals) throughout the purchase journey.
By unifying the data, we finally saw where customers were getting stuck, identified the exact friction points, and prioritized a mobile-first optimization strategy that validated our trust approach. This transformed a disjointed experience into a confident, high-converting mobile funnel. Regardless of having limitations via Shopify and having to select key trade-offs, the efforts resulted in an 18% reduction in cart abandonment, a significant lift in mobile checkout conversion rate (CCR), and a measurable increase in revenue.
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Summary
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Summary
CASE STUDY: Custom Apparel E-Commerce
eCommerce Conversion Optimization
See additional KPIs in the "Results" shared below.
Cart Abandonment REDUCED
18%
See additional KPIs in the "Results" section below.
Summary
Despite continuously attracting customers worldwide, high-intent shoppers were making it all the way to checkout, only to back out at the last minute because the experience was confusing, slow, and had little trust—especially on mobile. And, limited access to data disabled clear indications of the core problem(s). As the Senior Product Manager, I led a cross-functional initiative to connect Shopify, GA4, and a Customer Data Platform into a single analytics layer for clear assessments and prioritized objectives. Additionally, there was a significant need to optimize the end-to-end mobile checkout experience for speed and simplicity, and to inject trust-building elements (like clear policies and security signals) throughout the purchase journey.
By unifying the data, we finally saw where customers were getting stuck, identified the exact friction points, and prioritized a mobile-first optimization strategy that validated our trust approach. This transformed a disjointed experience into a confident, high-converting mobile funnel. Regardless of having limitations via Shopify and having to select key trade-offs, the efforts resulted in an 18% reduction in cart abandonment, a significant lift in mobile checkout conversion rate (CCR), and a measurable increase in revenue.
46%
B2C Revenue Growth
eCommerce Conversion Optimization
Reduced Cart
Abandonment
18%
See additional KPIs in the "Results" section below.
I launched a 0→1 enterprise SaaS-style Offer Management platform that cut marketing promotion wait time from months to a day and unlocked major revenue and efficiency gains.
I launched a 0→1 enterprise SaaS-style Offer Management platform that cut marketing promotion wait time from months to a day and unlocked major revenue and efficiency gains.
I launched a 0→1 enterprise SaaS-style Offer Management platform that cut marketing promotion wait time from months to a day and unlocked major revenue and efficiency gains.
Summary
Summary
Summary
46%
B2C Revenue Growth
Manual Workflows
System Constraints
Engineering Dependency
Major Problem
Manual Workflows
System Constraints
Engineering Dependency
Data Management
Bottlenecks
Time-to-Market (TTM)
The real problem wasn’t just cart abandonment. We actually had no clear picture of why it was happening. Critical data was very limited. Shopify, the infrastructure showed one version of the truth - how many sales made, and which products were bought. But, it doesn't know what a customer did before they bought something. The infrastructure was not integrated with GA4 or any Customer Data Platform. We were unable to determine how customers arrived at the website and what pages they clicked on and so much more. It felt like trying to solve a puzzle with lots of pieces missing. Meanwhile, our mobile shoppers—who made up the majority of our traffic—were running into a checkout experience that felt cramped, slow, and unpredictable. Customers told us they felt unsure about what they were actually paying because shipping and customization fees appeared at the very last step. Others hit pages that stalled or reloaded, making them question whether the site was trustworthy. Many used the cart just to “see the real price,” then abandoned the purchase entirely. The emotional friction for customers and the data friction for the business collided into one urgent issue: we couldn’t see where people were struggling, and customers couldn’t trust what they were seeing. Until we fixed both, revenue would continue slipping away at the moment it mattered most.
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Limited artifact disclosure due to confidentiality and proprietary info
Manual Workflows
System Constraints
Engineering Dependency
Data Analysis
Time-to-Market (TTM)
Bottlenecks
Limited artifact disclosure due to confidentiality and proprietary info
Data Analysis
Time-to-Market (TTM)
Bottlenecks
46%
B2C Revenue Growth
Challenges
(More Info Coming Soon)
Brief Info: Key challenges included resource constraints due to having a small team working remotely, and critical data limitation - tradeoffs were required and initial product decisions had to be made without a unified view of where customers were struggling which resulted in cart abandonments.
Collaborating with Engineering to ensure the platform supports experimentation, segmentation, and rapid iteration — critical drivers of digital subscription growth.
46%
B2C Revenue Growth
Key Actions
(More Info Coming Soon)
Brief Info: I led cross-functional collaboration with engineering, marketing and a designer around a shared view of the customer journey and data analytics, turning scattered behavioral signals into a prioritized roadmap of experiments focused on reducing friction where purchase intent was highest.
46%
B2C Revenue Growth
Data Management
Bottlenecks
Time-to-Market (TTM)
MVP Definition
Release Planning
Outcome-Based Delivery
Solutions
(More Info Coming Soon)
Brief Info: Within Shopify’s platform constraints, we reshaped the mobile purchase journey by simplifying customization decisions and streamlining checkout interactions to feel faster, clearer, and integrated GA4 and a Customer Data Platform with Shopify.
MVP Definition
Release Planning
Outcome-Based Delivery
Stakeholder Alignment
Limited artifact disclosure due to confidentiality and proprietary info
MVP Definition
Release Planning
Outcome-Based Delivery
Stakeholder Alignment
Prioritization
Refinement
Edge-Case Coverage
Acceptance Criteria
Definition of Done
Prioritization
Refinement
Edge-Case Coverage
Acceptance Criteria
Definition of Done
46%
B2C Revenue Growth
"Cordie built and delivered the first end-to-end Offer Management platform that fundamentally changed how we grow revenue — turning a months-long process into a scalable growth engine. She is one of the rare individuals who can operate at the intersection of strategy, technology, and execution and consistently deliver material business results."
- CLAY FISHER
SVP, Consumer Marketing & Revenue
"Cordie led the creation of the first end-to-end Offer Management platform at The New York Times, transforming a months-long process into a scalable revenue engine. Her rare ability to unite strategy, technology, and execution enabled faster growth and exceptionally earned her another NYT Award."
- CLAY FISHER
SVP, Consumer Marketing & Revenue
"Cordie built and delivered the first end-to-end Offer Management platform that fundamentally changed how we grow revenue — turning a months-long process into a scalable growth engine. She is one of the rare individuals who can operate at the intersection of strategy, technology, and execution and consistently deliver material business results."
- CLAY FISHER
SVP, Consumer Marketing & Revenue
"Cordie led the creation of the first end-to-end Offer Management platform at The New York Times, transforming a months-long process into a scalable revenue engine. Her rare ability to unite strategy, technology, and execution enabled faster growth and exceptionally earned her another NYT Award."
- CLAY FISHER
SVP, Consumer Marketing & Revenue
Different Industries. Different Domains. Same Results.
EFFICIENCY * GROWTH * CUSTOMER SATISFACTION
Case Studies
Real problems. Real Challenges. Real Solutions.
See Now!
46% Revenue Growth
I led the end-to-end launch of a 0→1 platform that accelerated go-to-market speed, reduced operational overhead, and drove measurable business impact:
21% Conversion Lift
I lead integration of a website, marketing platform and AI chat boosting lead generation and operational efficiency.
Major Problem
The real problem wasn’t just cart abandonment. We actually had no clear picture of why it was happening. Critical data was very limited. Shopify, the infrastructure showed one version of the truth - how many sales made, and which products were bought. But, it doesn't know what a customer did before they bought something. The infrastructure was not integrated with GA4 or any Customer Data Platform. We were unable to determine how customers arrived at the website and what pages they clicked on and so much more. It felt like trying to solve a puzzle with lots of pieces missing. Meanwhile, our mobile shoppers—who made up the majority of our traffic—were running into a checkout experience that felt cramped, slow, and unpredictable. Customers told us they felt unsure about what they were actually paying because shipping and customization fees appeared at the very last step. Others hit pages that stalled or reloaded, making them question whether the site was trustworthy. Many used the cart just to “see the real price,” then abandoned the purchase entirely. The emotional friction for customers and the data friction for the business collided into one urgent issue: we couldn’t see where people were struggling, and customers couldn’t trust what they were seeing. Until we fixed both, revenue would continue slipping away at the moment it mattered most.
.png)
Challenges
(More Info Coming Soon)
Brief Info: Key challenges included resource constraints due to having a small team working remotely, and critical data limitation - tradeoffs were required and initial product decisions had to be made without a unified view of where customers were struggling which resulted in cart abandonments.
Collaborating with Engineering to ensure the platform supports experimentation, segmentation, and rapid iteration — critical drivers of digital subscription growth.
Key Actions
Brief Info: I led cross-functional collaboration with engineering, marketing and a designer around a shared view of the customer journey and data analytics, turning scattered behavioral signals into a prioritized roadmap of experiments focused on reducing friction where purchase intent was highest.
(More Info Coming Soon)
Limited artifact disclosure due to confidentiality and proprietary info
Vision
Scope / Trade-Offs
Feasibility
Dependencies
Scalability
Integrations
Solutions
(More Info Coming Soon)
Brief Info: Within Shopify’s platform constraints, we reshaped the mobile purchase journey by simplifying customization decisions, and streamlining checkout interactions to feel faster, clearer, and integrated GA4 and a Customer Data Platform with Shopify.
Different Industries. Different Domains.
Same Results.
EFFICIENCY * GROWTH *
CUSTOMER SATISFACTION
KPIs
46% increase in digital subscription revenue
$200K+ in annual operational savings
Offer creation time dropped from 2-3 months to 24 hours
KPIs
Case Studies
Real problems. Real Challenges. Real Solutions.
I led the end-to-end launch of a 0→1 platform that accelerated go-to-market speed, reduced operational overhead, and drove measurable business impact
46% Revenue Growth
