Pulled a $4M fashion brand out of the ROAS trap and built a system that actually works.
The brand was doing $4M a year with paid media as the primary growth engine. Meta and Google were running, seasonal drops were moving inventory, and revenue was climbing. From the outside, things looked like they were working. But the financial infrastructure behind those decisions simply didn’t exist.
Revenue was growing but profit was inconsistent month to month. The business had real momentum but every scaling decision was being made without the numbers to back it up. The problem wasn’t the ad spend. It was the complete lack of visibility into what that spend was actually doing to the bottom line.
We didn’t just look at the ad account. We built the financial infrastructure the business was missing, then used it to find where money was leaking and where it needed to go.
Step 1
Locked meeting dates upfront, set a pre-read process one week before every meeting, and defined who owned what across the CEO, CFO, and board chair. Meetings had agendas, minutes, and action-item tracking so nothing fell through the cracks between sessions.
Step 2
Set a weekly leadership meeting rhythm, defined the month-end close window with a hard target of the 15th and no later than the 21st, and built KPI dashboards with named owners across sales, marketing, and finance.
Step 3
Modeled weekly inflow targets against operating outflows of roughly $197K per week excluding rent and $250K including rent. Rent scenarios, funding needs, and runway were visible in one place and updated on a consistent basis.
Step 4
Pressure-tested unit-level labor costs, revenue targets, and cash break-even assumptions at the location level. Set the FY2026 budget deadline at January 31 with year-end financials due February 15 and assigned clear ownership across the leadership team.
Step 1
Weekly reporting on blended ROAS, contribution margin, channel CAC and LTV by cohort. The founder could finally see what each dollar of ad spend was actually returning.
Step 2
Google traffic had a materially better 90-day LTV than Meta cold audiences. High-spend campaigns looked good on the dashboard but were quietly compressing margin at the bottom line.
Step 3
Cut inefficient cold prospecting by 18%, shifted toward high-intent search, introduced bundling to lift AOV and fixed the checkout flow that was bleeding mobile conversions.
Step 4
Set break-even ROAS thresholds, tied ad spend to inventory purchasing and built scenario models. The founder could stress-test decisions before making them.
Three months in, the numbers started moving in the right direction. Blended ROAS hit 3.5 for the first time in 8 months. Contribution margin was finally positive. Cash flow was no longer a source of stress.
Metric
Before
After
Growth
ROAS
2.1
4.3
+105%
Revenue Growth
—
+38% YoY
+38%
Customer Acquisition Cost
High
Reduced
-27%
Conversion Rate
1.8%
3.5%
+94%
Average Order Value
$78
$102
+31%
The numbers improved fast. But the more lasting change was how the business started operating day to day. With the right financial infrastructure in place, decisions that used to feel like guesses became straightforward calls backed by real data.
Growing revenue on top of invisible margin is just a faster way to run out of cash.
Most DTC brands aren't losing to bad ads. They're losing to a lack of financial clarity behind them.
You can't confidently scale spend if you don't know your CAC, your contribution margin, or where your break-even ROAS sits.
When those numbers are in front of you, scaling stops feeling like a leap of faith.
DTC Women’s Fashion (E-commerce)
~$4M Annual Revenue
6 Months
Scaling
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The cash flow improved fast. But the bigger change was how the business started operating day to day.
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