Three case studies showing how I helped mature enterprise CMS experiences, improve on-site search and product discovery, and support a WordPress-to-Shopify transformation through structured content, UX, SEO, analytics, taxonomy, QA, and cross-functional delivery.
◆Confidentiality note. These examples focus on my role, working methods, decisions, tools, and resulting improvements. Confidential data, proprietary system details, and restricted business information have been removed, recreated, or generalized.
How I approach digital transformation
A website migration creates the platform. The experience still has to be built.
I approach website transformation as an ongoing maturity program rather than a one-time launch — beginning with stability and content quality, then progressing into stronger structure, discoverability, measurement and continuous optimization.
01
Stabilize
Resolve content, functionality, tracking, and launch-quality gaps.
02
Structure
Create reusable components, taxonomy, governance, and consistent page patterns.
03
Improve
Strengthen journeys, usability, accessibility, search, content, and SEO.
04
Measure
Connect important interactions to analytics, dashboards, and customer behaviour.
05
Optimize
Use evidence to prioritize the next improvement cycle.
Case studies
Choose where to start
Three transformation stories across enterprise CMS maturity, on-site search, and a WordPress-to-Shopify migration. Jump directly to the one most relevant to you.
Why the first website release was only the starting point
Shortly before I joined Medisca, the organization had migrated from its legacy website to a new headless CMS platform. The initial launch established a modern technical foundation, but the website remained at an early level of maturity.
It offered limited page and component options, basic content structures, inconsistent product information, developing search capabilities, limited analytics visibility, and several opportunities to improve usability, SEO, customer journeys, governance and publishing workflows. The website transformation therefore did not end with the migration.
My role
What I directly owned and shaped
I helped mature the new platform through phased post-migration development across the United States, Canada English, Canada French and Australia websites.
My work combined hands-on Contentstack execution with structured content, UX, website search, product information, SEO, analytics, campaign support, QA, UAT, stakeholder collaboration and continuous website improvement.
My role was not maintaining a finished website. It was helping transform a newly migrated platform into a more scalable, searchable, measurable, and customer-focused digital experience.
Featured example from the Medisca digital ecosystem
Public website example
A representative view of the Medisca website and digital experience environment referenced in this case study.
The website may have evolved after my involvement. Confidential internal details may be removed or generalized.
What this demonstrates: A live view of the multi-market Medisca experience — the type of structured, component-based page work supported through Contentstack and continuous post-migration development.
Transformation roadmap
How the platform matured across three phases
Each phase built on the previous one — stabilize the foundation, then structure the experience, then advance search, analytics and continuous optimization.
Phase 01
01
Purpose. Create an accurate, reliable, measurable foundation before expanding the experience.
Stabilize the newly migrated platform
Work completed
Reviewed migrated pages for missing, outdated, duplicated, or incorrectly formatted content
Created and updated pages using Contentstack components and templates
More relevant results, fewer zero-result experiences and a repeatable search-optimization process that also informs SEO and navigation.
Live Website
Public website: Visitors can explore the current Medisca website and its product-discovery experience. Search configuration and website functionality may have continued to evolve after my involvement.
Why customers and internal terminology didn't always match
Medisca's website contained complex product information, technical terminology, resources and market-specific content. Customers didn't always know exact product names or use the same terminology as internal teams.
This could result in irrelevant results, repeated searches, search abandonment or zero-result experiences. The opportunity was to treat website search as a strategic customer journey and a source of customer intelligence — not simply as a search box.
My role
Search as a connected discovery system
I supported the analysis, configuration, optimization and continuous improvement of the Algolia search experience.
My work combined search behaviour, customer terminology, product information, taxonomy, content structure, analytics, SEO and business priorities.
Featured search and product-discovery example
Public website example
A representative view of the search and product-discovery experience referenced in this case study.
Configuration details may be simplified or redacted. The live website may have evolved after my involvement.
What this demonstrates: A live view of the Medisca on-site search experience — product suggestions, imagery, product codes and detail previews of the type improved through synonyms, attributes, indexing and ranking work.
Search optimization model
A continuous Observe → Diagnose → Improve → Validate loop
Rather than treating search as a one-time configuration task, I worked with it as a repeatable optimization cycle informed by behavioural evidence.
01Loop stage
Observe
Popular searches
Zero-result searches
Search abandonment
Repeated queries
Poorly engaged result sets
Market-specific terminology
02Loop stage
Diagnose
Determine whether the issue came from:
Missing synonyms
Incomplete product attributes
Weak tags or taxonomy
Incorrect indexing
Product naming inconsistencies
Missing content
Ranking configuration
Filter or facet coverage
03Loop stage
Improve
Create and refine synonyms
Improve searchable attributes
Correct tags and product information
Strengthen taxonomy
Improve filters and facets
Update indexing
Support ranking-rule changes
Improve related website content
04Loop stage
Validate
Test priority searches
Compare result relevance
Review related queries
Monitor zero-result and abandonment trends
Confirm that improvements did not negatively affect other searches
Continue iterating
Key contribution areas
Where I directly influenced search relevance and discovery
Search behaviour analysis
Reviewed how customers searched, where they struggled, and what their queries revealed about unmet intent.
Synonym strategy
Connected common terminology, technical names, abbreviations, spelling variations and customer language without creating overly broad relationships.
Zero-result reduction
Investigated the underlying reason for unsuccessful searches and selected the appropriate content, data, taxonomy or configuration solution.
Ranking and relevance
Reviewed important result sets and supported ranking-rule and attribute-priority improvements.
Product data and taxonomy
Improved the information that powered search instead of depending only on manual rules.
Filters and refinement
Reviewed attributes, labels and filter coverage to support faster product discovery.
Wider customer insight
Used search behaviour to inform navigation, SEO, product content, category pages and future information needs.
Governance
Supported an ongoing review process for synonyms, zero-result queries, data quality, ranking decisions and search health.
Featured strategic decision
Why product data mattered more than additional manual rules.
Why: Manual rules can improve individual queries, but stronger underlying information — attributes, synonyms, taxonomy and content — creates more scalable and reliable search experiences across many customer journeys.
Resulting improvements
Search became more relevant, and more useful across disciplines
More relevant results for important customer searches
Fewer unsuccessful search experiences
Stronger alignment between customer language and product information
Improved product-data and taxonomy quality
Better understanding of unmet customer needs
A repeatable search-optimization process
Search insights informing SEO, content and navigation decisions
A commerce-platform change, not just a website rebuild
Turpone needed to move from WordPress to Shopify to create a more manageable, scalable and commerce-focused digital platform.
The transformation involved more than transferring visible website content. It affected page architecture, products, collections, URLs, metadata, redirects, tracking, structured data, Merchant Center, local search, customer journeys, internal workflows and launch quality.
The business needed to modernize the website without unnecessarily losing useful content, SEO value, product visibility or customer familiarity.
My role
Content, commerce, SEO and QA across the migration
I supported the migration through content planning, Shopify implementation, product organization, redirect mapping, SEO, analytics, Merchant Center, local visibility, structured information, responsive QA and launch preparation.
Featured Shopify migration example
Public website example
A representative view of the Turpone website referenced in this Shopify migration case study.
The website may have continued to evolve after my involvement. Internal migration details may be generalized or removed.
What this demonstrates: A live view of the Turpone Shopify storefront referenced in this case study — the kind of content, product organization and navigation supported through the migration.
Migration flow
How SEO value and customer paths were protected end to end
From audit and mapping through launch and post-launch monitoring, each step was designed to preserve equity while improving the underlying experience.
Step 01
WordPress audit
Step 02
Content and URL mapping
Step 03
Shopify product and collection structure
Step 04
SEO and redirect implementation
Step 05
Tracking, feed and local-search validation
Step 06
QA and launch
Step 07
Post-launch monitoring
Contribution areas
What I directly worked on across the migration
Website and content audit
Reviewed existing pages, products, categories, URLs, metadata and internal links
Identified content to migrate, improve, consolidate, redirect or remove
Reviewed high-value pages and existing organic-search considerations
How this experience maps to enterprise digital experience work
These projects required both strategic judgment and hands-on execution across content, UX, analytics, SEO, CMS operations, product information and website delivery.
01
Enterprise CMS management
Created, updated, organized and quality-checked pages, components, structured content and product information.
02
Website transformation
Helped mature a newly migrated enterprise platform through phased development and continuous improvement.
03
Page structures and templates
Worked with reusable components, repeatable layouts and consistent content structures.
04
UX and customer journeys
Reviewed hierarchy, navigation, calls to action, mobile usability, information gaps and conversion paths.
05
Website search
Improved synonyms, attributes, taxonomy, indexing, filters, ranking and result relevance through Algolia.
06
Analytics and behaviour
Used GA4, GTM, dashboards and search data to understand performance and prioritize improvements.
07
SEO
Supported technical SEO, on-page optimization, metadata, internal linking, content strategy, redirects and reporting.
08
Product information and taxonomy
Improved naming, categories, tags, attributes, structured information and product discoverability.
09
Campaign experiences
Built and optimized landing pages, forms, UTMs, tracking and campaign customer flows.
Digital experiences improve when content, systems and customer behaviour are considered together.
My work combines hands-on website execution with the strategic thinking required to improve how enterprise digital platforms are structured, measured, searched, maintained and experienced.