The Metrics
- 3x return on total ad spend generated from paid media
- $23M+ total ad spend managed across 31 months
- 2.6x average ROAS blended across the full engagement
- 75,000+ orders driven through paid channels
- ~$750 average order value
- 3.97x peak ROAS (November 2022)
- $199.52 lowest CPA achieved
- 25-42% of revenue came through financing (Affirm/Klarna)
Before: $1.1M/Month in Spend and Nobody Knew What Was Working
Let me tell you about the biggest ad account I've ever managed. And I don't say that to brag -- I say it because the scale of this thing taught me things about paid media that you simply cannot learn at $20K or $50K a month.
The Phoenix is a health and wellness eCommerce brand. High-ticket products. We're talking an average order value of roughly $750. These aren't impulse buys -- these are considered purchases. People research. They compare. They think about it for days or weeks before pulling the trigger.
When they came to us in early 2022, they were already spending big. About $1.1 million a month on paid media across Google and Meta. That's not a typo. Seven figures. Monthly. On ads.
And here's the thing -- it wasn't not working. They were generating revenue. But the ROAS was bouncing all over the place. One month they'd hit 3x. Next month it'd dip to 1.9x. Then 2.3x. Then back up to 2.8x. No consistency. No predictability. Just a roller coaster that happened to cost a million dollars a month to ride.
Their CPA was equally unpredictable. Some months they were acquiring customers at $280. Other months it'd spike to $450. For a brand spending this kind of money, that variance is terrifying. A $170 swing in acquisition cost across 4,000+ monthly orders? That's the difference between a wildly profitable month and one that makes your CFO lose sleep.
The attribution was a mess too. They had financing through Affirm and Klarna -- which is smart for high-AOV products, because not everyone can drop $750 at once. But nobody was factoring that financing revenue back into the ad performance data. So 25-42% of their total revenue was essentially invisible in the ad dashboards. They were making decisions based on incomplete numbers. Imagine flying a plane and a third of your instruments don't work. That's what this was.
They didn't need someone to "run their ads." They had that. They needed someone to turn this into a machine. Something predictable. Something they could model against. Something that would let them sleep at night knowing that the million dollars they were spending this month was going to come back as two and a half million -- not maybe, not hopefully, but reliably.
That's where we came in.
After: 3x Return on Ad Spend, 75K+ Orders, and a Playbook for Scaling at Any Budget
Over the next 31 months -- January 2022 through July 2024 -- we managed over $23 million in total ad spend for The Phoenix.
That spend generated more than $56 million in revenue. Over 75,000 orders. At an average blended ROAS of 2.6x across the entire engagement.
But the headline number doesn't tell you the real story. Let me give you the highlights:
March 2022 -- our third month in. We spent $1.86 million and pulled in $3.86 million in revenue. Nearly 4,900 orders in a single month. That was the moment I knew this account had a ceiling way higher than anyone thought.
November 2022 -- the BFCM month. This one still gives me chills. We spent $822,000 and generated $3.26 million in revenue. That's a 3.97x ROAS. Our CPA dropped to $199.52 -- the lowest we ever hit across the entire engagement. On a $750 AOV product. We were acquiring customers at roughly a quarter of what they spent on their first purchase. At that math, everything else is gravy.
The managed decline -- and this is the part most agencies won't talk about, but it's the part I'm most proud of. When market conditions shifted in 2023 and into 2024, we didn't just keep throwing money at it and hoping. We strategically reduced spend from $1.1M/month down to around $600K/month -- while maintaining 2.5x+ ROAS. We protected their margins. We protected their profitability. We did what a real partner does: we managed the downside as carefully as we managed the upside.
The Bridge: What We Actually Did
1. Built a Full-Funnel Architecture
When we inherited the account, the campaign structure was flat. Prospecting campaigns running alongside retargeting campaigns with no clear hierarchy and no budget rules between them. It was spend everywhere, hope for the best.
We rebuilt the entire thing from scratch. Three tiers:
Prospecting (Top of Funnel): Cold audiences. Lookalikes built from their best customers -- not all customers, but specifically high-LTV buyers who'd purchased multiple times and referred others. We layered in interest-based targeting as a testing ground for new audiences, but the lookalikes were the workhorses.
Retargeting (Middle of Funnel): This is where we really went deep. We built retargeting windows at 3-day, 7-day, 14-day, and 30-day intervals -- each with different messaging. Someone who visited yesterday gets a different ad than someone who visited two weeks ago. The 3-day window got urgency messaging. The 14-day window got social proof and testimonials. The 30-day window got comparison content and objection handling. Different stages of consideration, different creative.
Retention (Bottom of Funnel): Past customers. Cross-sells. Upsells. Subscription pushes. This audience already trusted the brand -- the creative here was all about expanding basket size and increasing frequency. This tier consistently ran at 5-8x ROAS because these people already knew the product worked.
2. Optimized for CPA, Not Just ROAS
This was a fundamental shift. Their previous team was obsessed with ROAS as the headline metric. And look, ROAS matters. But when you're spending $1M+ a month, you need to think about it differently.
Here's why: a 3x ROAS on $1 million is $3 million in revenue. A 2.5x ROAS on $1.2 million is $3 million in revenue. Same top line, but very different CPA and very different customer acquisition efficiency.
We shifted the optimization target to CPA. What's the maximum we can pay to acquire a customer and still be profitable, accounting for margins, LTV, and financing revenue? Once we locked that number in, everything else fell into place.
The result: we brought CPA from a volatile $300-$450 range down to a tighter band of $200-$280. Our peak efficiency -- that $199.52 CPA in November 2022 -- showed what was possible when the funnel was firing on all cylinders. On a $750 AOV product, a $200 CPA is absurd. That's 73% margin before you even factor in repeat purchases.
3. Integrated Financing Data Into Attribution
This was huge and nobody was doing it. Between 25% and 42% of The Phoenix's monthly revenue came through Affirm and Klarna. Customers were buying $750 products and paying in installments.
But that revenue wasn't showing up correctly in the ad platforms. Meta and Google were seeing the initial payment -- not the full order value. So the ROAS numbers in the dashboards were systematically understating actual performance by 25-40%.
We built a custom attribution layer that pulled financing data back into our reporting. Suddenly we could see the real picture. Campaigns that looked like they were running at 2x were actually running at 2.8x. That changes everything about how you allocate budget.
It also changed how we bid. When we told the algorithms that the actual value of a conversion was $750 (not the $450 or whatever the initial payment was), the bidding strategies got smarter. They could afford to pay more for clicks because they knew the back-end value was higher. This alone improved our efficiency by an estimated 15-20%.
4. Managed Seasonal Scaling Like an Orchestra
Health and wellness has seasonality. January is massive -- New Year's resolutions. BFCM is obvious. Summer has a bump. But the transitions between seasons are where most brands lose money, because they don't adjust fast enough.
We built a seasonal playbook:
Pre-season (4-6 weeks out): Start warming audiences. Increase prospecting spend gradually. Test new creative angles for the upcoming season.
Peak season: Go hard. Max budget on proven campaigns. Shift retargeting windows tighter (more urgency). Launch seasonal offers and creative.
Post-season: Scale back fast. Don't let declining demand eat your ROAS. Shift budget to retention campaigns where the efficiency is always higher.
For November 2022 specifically -- BFCM -- we started ramping in early October. By Black Friday, we had four weeks of audience warming behind us. The retargeting pools were massive. The lookalikes were dialed in. When we hit the gas on Black Friday weekend, we generated $3.26 million in revenue on $822K in spend. The CPA was $199.52. Nearly 5,000 orders.
That wasn't luck. That was six weeks of preparation meeting four days of execution.
5. Managed Across Google and Meta Simultaneously
The Phoenix needed both platforms. Meta was the demand creation engine -- showing products to people who didn't know they wanted them. Google was the demand capture engine -- catching people who were actively searching.
We allocated budget dynamically between the two based on where we were seeing better efficiency. In prospecting-heavy months, Meta got more budget. In high-intent months (January, BFCM), Google's search and shopping campaigns got a bigger share because people were actively searching for deals and solutions.
The cross-platform strategy also helped with attribution. If someone saw a Meta ad, went to Google to search for the brand, and then bought through a Google Shopping ad -- we could trace that path. Without both platforms running, you miss half the picture.
6. Managed the Decline Strategically
This is the part nobody talks about. Between late 2023 and mid-2024, the health and wellness DTC market contracted. Rising CACs across the industry. Platform algorithm changes. Economic headwinds hitting discretionary spending on high-ticket wellness products.
A lot of agencies would've kept spending and pointed at "market conditions" when results dipped. We did the opposite.
We proactively reduced monthly spend from $1.1M to roughly $600K. But we didn't just slash everything proportionally. We cut underperforming prospecting campaigns first. We doubled down on retention. We tightened our audience targeting so every dollar of prospecting spend was going to the highest-probability converters.
The result: even at lower spend levels, we maintained 2.5x+ ROAS. The revenue went down because the spend went down -- but the efficiency stayed. We protected margins. We protected profitability. And when conditions stabilize, the infrastructure is there to scale back up immediately.
That's what a real media partner does. You don't just ride the wave up. You navigate the wave down.
Quarterly Performance Breakdown
Here's how the numbers played out across the engagement, broken into rough quarterly snapshots:
Q1 2022 (Jan-Mar): Ramping phase. $4.2M in spend, $8.9M in revenue. Average 2.1x ROAS. Learning the account, rebuilding structure, establishing baselines.
Q2 2022 (Apr-Jun): Full-funnel live. $3.1M in spend, $7.8M in revenue. ROAS climbed to 2.5x as the new structure took hold. CPA dropped below $300 consistently.
Q3 2022 (Jul-Sep): Optimization phase. $2.5M in spend, $6.2M in revenue. 2.5x ROAS with a tighter CPA band. Financing attribution fully integrated.
Q4 2022 (Oct-Dec): The peak. $2.6M in spend, $8.4M in revenue. 3.2x blended ROAS. November alone delivered $3.26M in revenue at 3.97x ROAS. Best quarter of the engagement.
Q1-Q2 2023: Strong performance continued. Spend averaging $900K/month, ROAS holding at 2.5-2.8x. Market softening began.
Q3-Q4 2023: Strategic pullback begins. Reduced spend to $700K/month range. Maintained 2.5x+ ROAS through audience tightening and retention focus.
H1 2024 (Jan-Jul): Managed decline phase. Spend at $500-$600K/month. ROAS steady at 2.4-2.6x. Focus on profitability over volume.
Across all 31 months: $23M+ in spend, 3x return on that spend, 75K+ orders, 2.6x blended ROAS.
What This Proves
Managing $23 million in ad spend across 31 months teaches you things that managing $50K never will. Here's what this engagement proved:
Scale doesn't have to kill efficiency. Most brands see ROAS decline as they scale. We maintained 2.5x+ even at $1.1M/month -- because the funnel architecture was built for scale from day one.
CPA is a better optimization target than ROAS at high spend. When you're spending seven figures monthly, small CPA improvements compound into massive differences. Bringing CPA from $382 to $199 at peak didn't just improve our numbers -- it fundamentally changed the economics of customer acquisition.
Financing revenue is real revenue. Ignoring Affirm and Klarna data in your attribution is like running a store and not counting 30% of your register transactions. We proved that integrating financing data into ad attribution doesn't just improve your dashboards -- it makes your bidding algorithms smarter.
Managing the decline is as important as managing the scale. Anyone can spend money when the market is hot. The real skill is protecting margins when conditions tighten. We reduced spend by 45% while maintaining ROAS above 2.5x. That's the difference between a partner and a vendor.
Full-funnel thinking wins at every budget level. The prospecting/retargeting/retention architecture we built for The Phoenix at $1.1M/month is the same architecture we build for brands at $20K/month. The principles don't change. The budgets do.
Ready to See What Your Paid Media Could Actually Do?
Whether you're spending $10K/month or $1M/month, the fundamentals are the same: right structure, right audiences, right creative, right attribution, right partner.
We've managed over $23 million in ad spend for a single client and generated $56 million in revenue. We know what scale looks like. We know what the decline looks like. And we know how to navigate both.
If you're spending money on ads and you can't confidently say "this dollar made us that dollar" -- we should talk.