Ecommerce
How we helped a Workwear Store grow revenue by 274% with Google Ads
Project Overview
Elevating a Market Leader
This business is a Workwear Store selling safety gear, clothing and seasonal workwear products. The business needed a Google Ads strategy that could increase revenue while managing spend carefully and learning from limited initial data.
Breaking Through Barriers
The Workwear Store needed to grow online revenue through paid advertising, but the campaign had little historical data to work from. The key challenges were: No strong historical data to guide early optimisation, seasonal product demand, need to avoid wasted spend, need to scale budget without sacrificing profitability, and a broad workwear product range requiring better segmentation.
Strategic Thinking Meets Tactical Execution
Taktic created a Performance Max campaign designed to gather data, test demand and scale gradually. We built the campaign structure from the ground up (Create), aligned product groups with seasonal demand (Align), launched with a lean budget and scaled in 20% increments (Implement), and used negative keywords and tighter targeting to reduce wasted spend (Optimise).
Precision Marketing In Action
Built a Google Ads Performance Max campaign, started broad to collect early data, created seasonal asset groups, segmented winter and summer products, launched with a controlled budget, scaled ad spend by 20% increments, managed negative keywords, reduced wasted spend, introduced product-specific asset groups, and optimised monthly based on ROAS and conversion data.
Measuring Real Business Impact
The campaign delivered: 274% revenue growth over 12 months (January 2025 to January 2026), a 382.61% average ROAS (peaking at 699% in January 2026), and a highly efficient cost per conversion of $24.20. By using data-led scaling and tighter campaign segmentation, the Workwear Store was able to grow revenue while keeping performance profitable.
The Numbers That Matter
This campaign worked because the strategy matched how ecommerce customers actually buy. Rather than forcing all products into one generic campaign structure, the campaign was shaped around seasonal demand and product relevance. Starting broad helped collect data, but ongoing optimisation made the campaign more precise over time.
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