
Case Studies

Discover how I’ve helped businesses like yours achieve success with marketing and digital strategies.
Ecommerce – $400k to $600k Monthly Google Ads Revenue
The Situation: A national provider of packing and industrial supplies, selling everything from standard tape and bubble wrap to high-margin safety gear and specialized industrial machinery. Replaced a previous agency. They had stalled at circa $400k in monthly Google Ads revenue and couldn’t figure out how to scale.
The Problem: The previous agency was treating the account like a commodity catalog. They were maximizing general ROAS by lumping products together with differnet margins and profit prioirties. The business was generating revenue, but it wasn’t maximizing profit.
The Work
Margin Analysis: I optimized based on the client’s internal P&L. I sat down with their leadership to understand exactly which product categories offered the best contribution margin.
Profit-First Restructure: I rebuilt the Google Ads account from scratch. Instead of structuring campaigns by “product type,” I structured them by “Profitability Priority.
Strategic Spend Re-allocation: I dramatically increased spend on the high-profit categories that were previously getting ignored, and I throttled back the budget on low-margin commodity items that were driving “vanity” conversion numbers but draining operational resources.
The Results
Monthly Revenue Jump: Took Google Ads revenue from circa $400k to $600k per month. A direct +$2.4M increase in annualized revenue.
Profitable Scale: The revenue growth came from the categories with the best profit margins and supply chain security.
Business Intelligence Partner: The client now has an ad strategy that is a direct extension of their business model, not just a separate marketing silo.
Halving the Cost of Google Ads Leads:
The Problem: A fast-growing Australian healthcare provider was paying too much for leads. Their previous agency had built an incredibly complex Google Ads account that was hard to manage and even harder to understand. The directors were frustrated because they couldn’t tell what was actually working.
The Work
Clean Up: I stripped out layers of unnecessary campaign complexity that were just wasting budget.
Re-focused Spend: I moved budget away from generic “healthcare” terms and into specific service-based searches (Aged Care/NDIS) where the intent to buy was higher.
Direct Communication: I stopped the agency reporting fluff and started providing clear data they could use for business planning.
The Results
50% Lower Cost Per Lead: We cut the cost of acquiring a lead in half.
30-40% Volume Boost: They got more leads for less money.
Clarity: The business knows what’s working and where to invest
Commerce – 25% Revenue Increase
The Problem: An old Google Ads account with 6,000+ products was a mess. They had hundreds of individual ads running, but because the spend was so fragmented, Google’s AI couldn’t “learn” fast enough to optimize anything. They were spending money on clicks for low-margin parts while big-ticket items got ignored.
The Work
Account Consolidation: I killed the hundreds of individual, low-performing ads and moved them into, high-data Performance Max campaign.
Margin-First Strategy: I used their sales data to prioritise products that actually make the company money, rather than just chasing high-volume, low-profit sales.
Data Aggregation: By grouping the products, we gave the algorithm enough data to actually find buyers instead of just “browsers.”
The Results
+$50k Monthly Revenue: Grew from $200k to $250k a month.
Efficiency: We achieved this without spending a single extra dollar on ads.
6.0 ROAS: Every $1 spent returned $6 in revenue.
Scaling a Franchise Network to Full Operational Capacity
The Problem: A national franchise with 300+ Google Ads across different regions. Each franchise owner had different priorities and budgets. The result was a high cost-per-lead and a lot of enquiries for services that were not a business priority.
The Work
Service Audit: I identified the high margin services that drove profit.
Rebuilt the Structure: I scrapped the 300 messy ads and rebuilt the account around those high-value services.
Lead Quality Filter: I tightened the keyword targeting and ad copy to be very narrow but highly targeted.
The Results
60% Lead Increase: Went from ~800 to ~1,300 leads per month.
At Capacity: The marketing worked so well the business had to ask me to scale back spend because their teams couldn’t keep up with the physical workload.
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