Commercial structure
Campaigns reflect product categories, margins, stock, geography and the searches that signal buying intent.
E-commerce Google Ads management
Paid search for online stores needs more than traffic. We connect campaign structure, product economics, conversion value and ongoing optimisation so the account is built around what the business actually needs to sell.
What matters
ROAS is useful only when its attribution basis is clear. We keep platform return, blended return, revenue and business constraints properly labelled.
Campaigns reflect product categories, margins, stock, geography and the searches that signal buying intent.
Conversion value, spend and return are reviewed with the correct attribution basis—not mixed into one convenient number.
Search terms, budgets, bidding and product performance are reviewed continuously so spend follows stronger evidence.
Historical case studies
These are historical outcomes from anonymised businesses. Every study states the reporting window, measurement basis and important limitations.
Google Ads optimisation for an anonymised boutique clothing retailer.
Read the evidence and limitations ↗1-22 July 20263.2x blended ROASA short-window paid-media programme measured against Shopify sales and a stated ROAS target.
Read the evidence and limitations ↗90-day comparison ending 23 July 20264.57x ROASPaid-media efficiency gains for an anonymised motorbike helmet retailer.
Read the evidence and limitations ↗1-22 July 20262.5x blended ROASA Shopify-based efficiency programme for an anonymised supplements brand.
Read the evidence and limitations ↗A sensible fit
Straight answers
Campaign planning, product and search structure, conversion-value tracking, budget allocation, search-term review and ongoing optimisation around commercially useful results.
No. The right mix depends on the store, product feed, margins, demand and available data. Search, Shopping and Performance Max can each have a role when the evidence supports it.
No. Historical results can show relevant experience, but they cannot guarantee future performance. Product demand, pricing, margins, tracking, site experience and competition all affect results.
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