Resources · Case studies
Real client work. Real before-after numbers.
15ecom and B2B accounts scaled across Google Search, Shopping, Performance Max, YouTube, and Demand Gen. Pulled straight from Patrick's daily newsletter, with a link back to the original write-up on every detail page.
+18% revenue in 7 days. Without increasing spend
Most accounts chase growth by increasing budgets. This account did the opposite: structural tightening at the margins, no creative refresh, no budget changes. 18% more revenue in 7 days at the same spend.
From €0 to €31K/month with no efficiency decay
Most case studies start after the hard part is done. This one starts on day one of a brand-new Google Ads account with no historical data. As spend increased, performance didn't deteriorate. It improved.
+112% revenue in November with ROAS holding above target
Most accounts lose discipline in November. Budgets surge, promos stack, ROAS gets sacrificed. This account took a different path: revenue +112%, spend +134%, ROAS softened only 4% and stayed above 2x target.
Shopping coverage 49% → 57% in one month
Shopping performance jumps when coverage improves, not when bids increase. We didn't raise bids or loosen targets. We implemented feed duplication. Impression share went from 49% to 57% against the same competitors.
YouTube conversions +100% with no spend increase
Most YouTube performance issues aren't creative problems. They're signal problems. We changed three things: excluded app inventory, built a conversion-led video system, layered in a purchaser-based first-party audience. Conversions doubled.
$106K revenue from YouTube + Search in 28 days
B2B client in a competitive niche. We ran YouTube + Google Search only. Steady climb from $0 to $106K of attributed revenue in 28 days. The system was the win, not the budget.
Casa Beyond scaled to $560K/month without raising CAC
Casa Beyond came in with broad campaigns, no SKU prioritisation, and ROAS pressure. We segmented by margin, built tight campaign clusters, and optimised for conversion-value-over-cost at the SKU level. Same brand, same products, same ad spend appetite. Different system.
Crossed $500K/month in Google Ads revenue
One ecom client just crossed half a million in monthly Google Ads revenue. 2× growth since we partnered three months ago. Founder reaction: "Let's gooo." Q4 target is $1M/month.
3.47x ROAS on a fresh campaign in a struggling account
Client had historically struggled to break performance ceilings. Fresh campaign, right system. 3.47x ROAS on $1.83K of spend. Quote from the client: "I have never seen this type of ROAS on this account."
Niche ecom: $34.7K in 42 days at 3.05x ROAS
Fast-growing niche ecom brand. Six weeks. $8.7K of spend, $34.7K of sales at 3.05x ROAS. Engineered, not lucky. Funnel-stage campaign architecture + feed work + conversion-first landing pages.
17.97x ROAS on a freshly built ecom account
$9.9K spend → $178K revenue → 17.97x ROAS. No viral spike, no seasonal promo, no discount. Built from scratch with profitable scale in mind. Systems, not luck.
€104K in revenue with 70%+ from cold traffic
Most brands treat Google as a harvest channel for branded clicks. Built right, it becomes an acquisition engine. Here's how we drove €104K in revenue with 70%+ from cold traffic.
$1.18M in sales on $469K ad spend across 90 days
Once you cross $100K+ in monthly ad spend, your biggest risk isn't the platform. It's operational chaos. This account ran $469K of spend over 90 days with $1.18M in tracked revenue, blended 2.52x. Sustained, not a flash.
+$248K in 90 days without killing ROAS
February: $172K revenue, $62.7K spend, inconsistent daily performance. March: $421K revenue, $178K spend, stable optimised performance. The difference? A growth system instead of a gamble.
Conversion rate doubled by fixing the shipping schema
Ads dialled. CTR healthy. CPC low. Conversions embarrassing. We went deeper than the campaign and looked at the tech layer. Google was showing a 4-day shipping estimate; the brand fulfilled in 2. Fixed the schema, conversion rate doubled in 7 days.
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