SEO Copy · GA4 · Content Strategy

Brand & PLP
SEO Copy Program

24 brand and category pages written and tracked across two retail banners. Built the measurement system alongside the content — so every page had a performance baseline from day one.

24
Pages authored
2
Brands covered
10+
National brands
GA4
Tracked from publish
01 — The Work

Researched, written, and tracked across two banners

This project covered brand pages and subcategory PLPs for Shoe Carnival and Shoe Station. Shoe Station pages were primarily net new; Shoe Carnival was a mix of net new and refreshes of existing copy that had not been updated for AI-era search.

Each page required keyword research, brand voice calibration for the specific banner, structured formatting for SEO and AI readability (H-tag headlines, bullets, sectioned content), and a publish record in the tracking system before it was considered done.

Brands covered

Nike Birkenstock Clarks Hoka Frye and Co. Asics Brooks Adidas Cole Haan Ryka White Mountain Sperry
02 — Copy Examples

Live copy — structured for search and for AI crawlers

The format follows a consistent structure: an opening paragraph, H2-level thematic sections with bullet subcategories, a gender/category navigation block, a "why shop here" value section, and a closing CTA. This structure satisfies both traditional SEO signals and the entity-recognition patterns used by AI search engines.

Brand SEO copy — top of page
Top of page — brand intro + trending section
Brand SEO copy — bottom of page
Bottom of page — navigation + value section
03 — Live Example

Shoe Carnival Nike brand page — live on site

This was the reference page for the SC brand page format. The structure, heading hierarchy, and bullet pattern established here carried forward across all subsequent brand pages for the Shoe Carnival banner.

Live brand page copy example
shoecarnival.com/nike — live brand page
04 — Tracking System

Every page logged. Every metric captured from publish date.

A tracking spreadsheet logs every page: brand name, page URL, which banner it lives on, the publish date, and a link to the source document. GA4 performance data was pulled and attached to create a pre/post baseline for each page.

The tracking system was built in parallel with the writing — not added retroactively. This means every page has a clean performance baseline from the day it went live.

GA4 tracking — page-level performance
GA4 tracking — page-level performance data
05 — GA4 Performance

What the data showed after publish

Selected GA4 results from pages tracked in the system. These represent performance change between the pre-publish window and the post-publish window for pages that had enough history to measure.

+1,028%
/birkenstock/womens
Views increase post-publish
+550%
/birkenstock/mens
Views increase post-publish
+360%
/nike/kids
Views increase post-publish

I wrote the descriptions and ensured each page was complete and live. I built the tracking system to measure what happened after. The GA4 data shows page performance post-publish. I tracked it. I did not claim sole credit for it.

06 — Stack

What it's built on

SEO Copywriting GA4 Keyword Research H-tag Structure AI-Readable Formatting Excel Tracking Google Drive Shoe Carnival CMS
SEO Copywriting·GA4 Analytics·Brand Pages·PLP Copy·Content Strategy·Shoe Carnival·Shoe Station·AI Search·Keyword Research·Performance Tracking· SEO Copywriting·GA4 Analytics·Brand Pages·PLP Copy·Content Strategy·Shoe Carnival·Shoe Station·AI Search·Keyword Research·Performance Tracking·