How I manage $65K/month in ad spend at 10–12X ROAS

Most people think scaling ad spend is about finding a bigger "on" button. It isn't. The moment you push budget without a system, CPA balloons, ROAS collapses, and you're back to square one — spending more money to sell less.

I currently manage up to $65,000/month in ad spend across Google, Meta, TikTok, Amazon, Shopee and Lazada. The blended return sits at 10–12X ROAS. On the healthcare funnel I built for a US clinic, cost per lead held at $31 while we scaled to 210+ booked appointments a month and contributed $1.2M in profit over six months. On a Southeast-Asian pet-food brand, I run six platforms at once at a blended 5X ROAS across five markets.

This post is the actual operating system behind those numbers — not theory, and not a listicle of "10 hacks." It's the five things I do every single week, in order, and why each one matters more than the ad account settings everyone obsesses over.

Why big budgets break

At $5K/month, sloppiness is survivable. A messy account, gut-feel decisions and one hero ad can still turn a profit because the volume is small. At $65K/month, every one of those weaknesses gets multiplied. A 15% tracking error isn't a rounding issue anymore — it's roughly $10,000 of spend you can't account for.

Scaling doesn't create problems; it exposes the ones already there. So before touching budgets, I make sure five things are true, in this exact order. Skip one and the whole thing wobbles.

Step 1 — Trustworthy tracking, before you spend

The single biggest reason budgets leak is broken measurement. If you can't trust the number, you can't make a decision — and at scale you make dozens of decisions a week. So before I launch anything, I lock down tracking: server-side events, clean UTMs, the Meta Conversions API, and a properly configured GA4 setup.

Then I stop trusting the platforms' own numbers. Every channel over-credits itself — Meta, Google and TikTok will each claim the same sale, so if you add up "platform ROAS" you'll conclude you're doing three times the revenue you actually are. Instead I report on a blended MER (marketing efficiency ratio): total revenue divided by total ad spend, across everything. MER doesn't lie to you. Platform ROAS is a diagnostic; MER is the truth.

If platform ROAS looks amazing but blended MER is flat, the platform is taking credit for sales it didn't create.

Step 2 — Structure the account for signal

Once measurement is clean, I build the account to feed the algorithm the strongest possible signal. Modern ad platforms are prediction machines; your job is to give them clear, high-quality data to learn from. In practice that means:

• Consolidated campaigns — fewer, better-fed ad sets beat a sprawl of tiny ones that never exit the learning phase.
• The right conversion event — optimise for purchase or qualified lead, never add-to-cart or "view content" as the primary. You get what you optimise for.
• Margin-aware bids on marketplaces — on Shopee and Lazada I tier bids by product margin and keep the catalog clean, instead of blanket-bidding every SKU the same.

Good structure is quiet. It doesn't win awards — it just stops you from starving the algorithm of the signal it needs to find your buyers cheaply.

Step 3 — A creative-testing engine that never stops

Here's the uncomfortable truth about paid social in 2026: targeting is mostly automated now, which means creative is roughly 80% of performance. The auction is won or lost on the ad itself. And winning ads fatigue in weeks — sometimes days at high spend.

So the real asset isn't a good ad. It's a system that reliably produces the next good ad before the current one dies. Every week I ship a fresh batch of hooks, angles and formats against the current control, kill the losers fast, and pour budget into the winners. That loop is what keeps CPA falling instead of quietly drifting up month over month.

Step 4 — Scale in steps, defend the margin

When something works, the temptation is to 5x the budget overnight. Don't. Large jumps reset the learning phase and spike your CPA exactly when you're spending the most. Instead I scale in controlled steps and watch the marginal return on each increment — the ROAS of the next dollar, not the average.

Every account has a point where the next dollar of spend still clears your target ROAS, and a point beyond it where it doesn't. Growth lives in finding that line and holding spend right at it, then pushing it outward with better creative and offers — not by brute-forcing budget.

Step 5 — Close the loop back to revenue

Clicks are not the finish line. Booked revenue is. This is where most media buyers stop and most budgets quietly bleed — a perfectly optimised ad account pouring traffic into a leaky funnel.

So I don't stop at the ad. The traffic flows into tight landing pages, then into CRM and automated nurture that follows up in minutes, not days. On the healthcare account, that end-to-end loop — ad → landing page → CRM → instant nurture → booked appointment — is exactly what turned a $25K/month budget into $1.2M in profit. The ads got the click; the system got the revenue.

The three mistakes that quietly kill ROAS

After years of running large budgets, the failures rhyme. Almost every "our ads stopped working" story is one of these three: (1) trusting platform-reported ROAS instead of blended MER, so you scale a channel that's really just claiming other channels' sales; (2) treating creative as a one-time task instead of a weekly engine, so performance decays the moment your one winner fatigues; and (3) optimising the ad account while ignoring the funnel, so better clicks pour into a page and follow-up that were never built to convert.

None of these are exotic. That's the point. Elite ROAS at scale isn't a secret audience or a magic bid strategy — it's boring discipline, done consistently, across all five steps every week.

Frequently asked questions

Deepesh Nigam

Performance marketer, marketing director and automation specialist. 7+ years, up to $65K/month in ad spend at 10–12X ROAS across four continents. See how I run paid media →

More on the specifics: how I run performance marketing & media buying, how I lead marketing as a director accountable to revenue, and the automation systems that make it all scale without more headcount.