This Brand Thought Their CAC Ceiling Was $120. It Was Only $90...

Hey everyone,

Welcome back for another bite to chew on.

Most founders set a CAC ceiling once and treat it as fixed. As long as they are “under target,” they assume they are safe to scale.

The problem is that the target is not a static number. 

It moves with your margins, spend volume, channel mix, and retention patterns. 

If any of that math is off, you can spend months pushing into plateaus or, worse, scaling into losses without seeing it on the P&L.

Abir Syed has seen this pattern repeat across more brands than he can count. He runs UpCounting, a DTC-focused finance firm, and is also the fractional CFO at Obvi.

To help brands that don’t have a CFO on retainer he runs the Cash Dash: a financial x-ray and one-hour CFO deep dive into a brand's numbers, where the goal is to shine a light on what the founder isn’t seeing.

He recently ran a Cash Dash on a mid-7-figure supplement brand. Strong team running multi-channel marketing. On paper, a sophisticated operation.

But their profit and MER had been flat for over a year. With what they were spending and the retention numbers they had, that should have been mathematically impossible.

In today's edition, Abir takes over to walk through exactly what he found and what founders should be checking before the same thing happens to them.

On the Menu:

Most founders find out their scaling math is broken from their bank account, not their P&L. By then the only options left are painful ones.

The Cash Dash is how we catch the broken math earlier:

🔬 Cash Dash Financial X-Ray: 30+ ecom finance KPIs and a one-hour CFO deep dive that breaks down your performance, liquidity, and stress-tests your scaling targets.

⭐ Free for Chew on This readers: We're sharing an exclusive offer and running them free for the first 5 brands that book.

Book your free Cash Dash with Obvi's CFO →

The first sign something was off wasn’t even in their P&L.

It was a metric called Days Inventory on Hand (DOH) – basically, how long your existing inventory would last given your current sell-through rate.

Given their supply chain, their DOH should have been around 80-90 days.

👉 Theirs was 240.

That can mean a few things, but it turned out to be exactly what I expected.

The unit cost they were using to calculate COGS was wrong.

The number on their P&L wasn’t what their products actually cost them.

Here’s why this matters: your scaling targets (your target CAC and ad spend) depend on your margin. If the margin is wrong, the target is wrong.

This brand thought they could afford a CAC up to around $120.

The real number was closer to $90.

💡 What you can do:

Review your costing math. And reconcile between your inventory value per your warehouse/3PL and your accounting records. 

If there’s a big gap, that’s a sign you might be costing wrong.

Even if their margins had been right, the second flaw alone caused real damage. And this is the one I almost never hear talked about.

When most founders set their targets, they take total ad spend for the month, and divide by the number of customers acquired. That's your average CAC. 

If it’s below their break-even, they think they're profitable and they scale.

That math is wrong. Here's why.

When you spend on ads, the first dollars are the most efficient. Meta's algorithm finds the people most likely to buy first. But as you scale spend, you're moving up the funnel to more expensive customers. 

So say your first hundred customers might cost around $30 each. The next hundred might cost $50. The hundred after that, $80. The hundred after that, $120.

Average all of those out and you might get $70 per customer. 

If your lifetime profit on a customer is $100, you'd think you’re making $30 per customer. Awesome!

But you're not. The first hundred made you $70 each, the second $50, the third $20, the fourth cost you $20 each.

Some brands think they can keep scaling as long as their average CAC is below break-even. But at that point you’ve wiped away all your profit.

The real target is when your marginal CAC is at break-even.

That’s when the next customer you acquire would actually be a lifetime loss. 

If your lifetime profit is going down as you keep scaling, those customers are unprofitable.

This brand was running an average CAC of around $120 when the target they needed was around $90. Every additional dollar they spent was destroying value, but the average smoothed it out and made it look manageable.

💡 What you can do:

Don’t set your targets based on break-even CAC math. Build your targets based on lifetime cohort profitability, and re-examine monthly.

The third challenge for this brand was how they were treating the “halo effect” on Amazon from everything being done on Meta.

Most of their growth was being driven by Meta - like many brands.

And when they increased spend on Meta, they saw a lift on Amazon. 

But they didn’t know how to properly factor in that halo effect into their scaling targets.

Part of the problem was again on the COGS side, their Amazon and Shopify COGS were blended together. They didn’t know their actual margins on Amazon. 

So any attempt to “gross up” the Shopify LTV to include the Amazon halo was built on sand.

Because they didn’t know how to factor in the halo effect they resorted to napkin math for Shopify. And brand-level MER as a guide.

They were scaling on a number that felt conservative, but it was still based on a guess.

💡 What you can do:

First, your accounting needs to be broken up properly between Shopify and Amazon so you know the true contribution margin on each channel. 

Then, you can perform an analysis of how your Amazon profit correlates with Meta spend or Shopify Gross Profit. 

Use that relationship to “gross up” your LTV math in a structured way, instead of hand-waving a halo effect into your scaling targets.

When your scaling targets say you should be profitable but you’re not, most founders do not stop to re-examine the math. They get desperate. That’s exactly what happened here. 

Meta had been the main channel. But when profit started to plateau, they cranked Google. They added TikTok. Spent on podcasts. More influencers. They expanded on Amazon. 

Every single one of those channels was under-invested in creative. And increasing attribution confusion.

So here’s where we went with the Cash Dash.

First, we rebuilt their scaling targets so they knew how to maximize lifetime profit.

Then we dug into the expenses to see which dollars weren’t carrying their weight.

At one point they were paying roughly 20% of their ad spend in agency fees. At their volume, that number should have been closer to 5–10%.

Then we pulled back on the spend across multiple channels and the savings went into creative volume and testing on Meta.

The order matters: math first, then consolidation, then creative volume. You do not add channels until you have actually maxed out the one you have, and you cannot know if you have maxed it out until you trust the numbers underneath your targets.