Ecommerce SEO Case Study
How an SEO content system took organic revenue from $4,429 to $28,293 in a year
An Australian premium packaging & gift box e-commerce brand (identity anonymized at the client's discretion).
Identity anonymized at the client's discretion. Every number below is real and verified. Seeour case study policy.
The challenge
The brand's organic search presence was underperforming its product quality: average search position sat around 34, meaning most product pages were buried on page three or beyond. Organic traffic existed but rarely converted, and there was no system for finding new keyword opportunities as the catalogue grew. Content was produced ad hoc, not against researched demand.
What we built
Keyword research built as a system, not a one-off
Rather than a single keyword list, we built an ongoing keyword research and demand-validation pipeline, so new product and collection pages were always targeting terms with confirmed search volume, not guesses.
Content mapped to real buyer terms
Pages were optimized around the terms customers actually searched: product-specific queries like "magnetic gift box" and "mailing boxes" alongside the brand's own branded search demand.
Monthly measurement against GSC and GA4, not vanity metrics
Every month we pulled Search Console and GA4 data together, tracking clicks and impressions alongside actual sessions, conversions, and attributed revenue, so the reporting always tied back to business outcomes, not just rankings.
The results
+538.8%
Organic search revenue, year over year
$4,429.17 → $28,293.29 (June 2025 vs June 2026)
+106.9%
Organic conversions, year over year
29 → 60 key events
16.9
Average search position
Improved from position 33.8 a year earlier
+32.5%
Organic clicks, year over year
967 → 1,281 clicks
Source: Google Search Console + GA4 export, June 2025 vs June 2026, pulled directly from the client's own analytics accounts. Site-wide, the same period saw 255 total purchases and $84,164.84 in total purchase revenue across all channels.
The outcome
A year on, the same SEO system that improved average position from 33.8 to 16.9 also lifted organic click-through rate from 0.34% to 0.70%, more than doubling how often a search impression turned into a visit. Most tellingly, organic search sessions that converted into a sale or another tracked action nearly doubled, and organic-attributed revenue grew more than sixfold. Partway through the year, something new appeared in the data: sessions arriving from ChatGPT grew from 53 to 199 year over year, with the first AI-driven conversions and revenue starting to show up. SEO and AI search visibility are no longer separate problems, and this account is already seeing both move together.
Frequently asked questions
What does an ecommerce SEO case study like this actually measure?
Real Search Console and GA4 data pulled directly from the client's own analytics, not third-party estimates. That means clicks, impressions, average position, sessions, conversions (GA4 'key events'), and attributed revenue, compared year over year to control for seasonality.
How long did it take to see these ecommerce SEO results?
This case study reflects a full year of ongoing work, not a quick win. SEO for an ecommerce catalogue compounds: month-over-month gains (this account also improved position and CTR month over month within the same year) build into the larger year-over-year numbers shown here.
Why mention AI search visibility in an SEO case study?
Because it showed up in the data unprompted. ChatGPT-referred sessions nearly quadrupled year over year on this account, with early conversions and revenue attached. Traditional SEO and AI visibility are increasingly the same discipline, measured the same way, in the same analytics accounts.
Can JAS deliver this for a business outside ecommerce?
The same keyword research and measurement system applies to any content-driven SEO programme. See our other case studies for automation and workflow examples outside ecommerce, or book a discovery call to discuss your specific situation.