Case Study · Google Shopping · Fashion · UK

£4.5M Generated From Google Shopping — £3.5M From New Customers Alone

£4.5M
Total Sales
£3.5M
New Customer Revenue
66,863
Total Orders
4.37x
ROAS
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The Client

A UK-based fashion brand selling clothing and accessories to customers worldwide. They had an established Google Ads account with a reasonable budget — but inconsistent results, no clear attribution between new and returning customers, and a Shopping setup that had been left largely untouched for months.

The account had potential. The structure and management were the problem. A solid foundation was all it needed to unlock the growth that was already sitting in the data.

What Was Holding the Account Back

Poor account structure — brand and non-brand campaigns were mixed together, making it impossible to measure true new customer acquisition or optimise bidding accurately.
Unoptimised Google Shopping feed — product titles, descriptions, and attributes were generic with no keyword strategy, resulting in poor match quality and wasted spend.
Weak negative keyword management — irrelevant search terms were consuming budget daily with no systematic process to identify and exclude them.
Untouched account management — large parts of the account hadn't been reviewed or acted on in months, leaving significant revenue potential completely unrealised.
Relying on GA4 tag for conversions — using GA4 as the primary conversion source introduced attribution gaps and fed the bidding algorithm inaccurate signals.

What We Did

1

Tracking & Attribution First

Before touching campaigns, we replaced GA4 tag reliance with native Google Ads conversion tracking. This gave the bidding algorithm clean, accurate signals — and gave us reliable data to make decisions from.

2

Brand vs Non-Brand Separation

We fully restructured the account to cleanly separate brand and non-brand campaigns. This made it possible to measure true new customer acquisition costs, protect branded traffic with controlled budgets, and bid aggressively where it mattered most.

3

Product Category Testing

We ran systematic tests across multiple product categories to identify which performed best on Shopping. Rather than spreading budget evenly, we doubled down on winning categories once the data was clear — reducing wasted spend and accelerating returns.

4

Competitor Research & Feed Optimisation

We audited competitor Shopping listings and used those insights to sharpen product titles, descriptions, and attributes in the feed. We also layered in promotional pricing strategies to improve click-through rates during key periods.

5

Systematic Negative Keyword Management

We implemented a weekly negative keyword review process — continuously eliminating irrelevant search terms and tightening match quality across all Shopping campaigns to prevent budget leakage.

The Results — Directly From Shopify

Shopify UTM Report — Google Shopping Revenue Breakdown
Shopify UTM report showing £4,514,149 total sales from Google Shopping with 66,863 orders
Metric Result
Total Sales Generated£4,514,149
New Customer Revenue£3,509,580
Returning Customer Revenue£1,003,788
Total Orders66,863
New Customer Orders50,459
Returning Customer Orders16,396
ROAS4.37x
ChannelGoogle Shopping

What Made the Difference

Separating new customer acquisition from retention campaigns gave us a clear signal to optimise against — and scaling what was already working produced compounding returns over the full year.

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