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636: (Solo) The Facebook Ads Metrics That Actually Matter When Scaling

10 min episode · 2 min read

Episode

10 min

Read time

2 min

Topics

Productivity, Startups, Leadership

AI-Generated Summary

Key Takeaways

  • Traffic Metrics as Leading Indicators: Monitor CPM, CTR, and CPC before anything else. A CTR below 1% signals weak creative hooks; high CPM indicates overly narrow targeting. Broad targeting combined with strong thumb-stopping creative lets platforms algorithmically find buyers for you.
  • Marketing Efficiency Ratio over ROAS: MER — total ad spend divided by total revenue across all channels — gives a more accurate scaling signal than platform-reported ROAS, which misattributes multi-touch journeys where users see an ad on desktop but convert on mobile days later.
  • Landing Page Conversion Leverage: Doubling your landing page conversion rate effectively halves customer acquisition cost without changing ad spend. Use tools like Hotjar to identify drop-off points, then test offer framing, page speed, and checkout flow before blaming underperforming ads.
  • Breakeven Economics Before Scaling: Calculate your breakeven ROAS and breakeven MER before increasing spend. A 2x ROAS can still produce losses if margins are thin or shipping costs are high. Track contribution margin and understand exactly how discounts affect average order value at scale.

What It Covers

Nathan Chan breaks down the three metric buckets — traffic, creative/conversion, and business economics — that separate Facebook ads operators who scale from $20K to $300K daily spend from those who plateau or lose money.

Key Questions Answered

  • Traffic Metrics as Leading Indicators: Monitor CPM, CTR, and CPC before anything else. A CTR below 1% signals weak creative hooks; high CPM indicates overly narrow targeting. Broad targeting combined with strong thumb-stopping creative lets platforms algorithmically find buyers for you.
  • Marketing Efficiency Ratio over ROAS: MER — total ad spend divided by total revenue across all channels — gives a more accurate scaling signal than platform-reported ROAS, which misattributes multi-touch journeys where users see an ad on desktop but convert on mobile days later.
  • Landing Page Conversion Leverage: Doubling your landing page conversion rate effectively halves customer acquisition cost without changing ad spend. Use tools like Hotjar to identify drop-off points, then test offer framing, page speed, and checkout flow before blaming underperforming ads.
  • Breakeven Economics Before Scaling: Calculate your breakeven ROAS and breakeven MER before increasing spend. A 2x ROAS can still produce losses if margins are thin or shipping costs are high. Track contribution margin and understand exactly how discounts affect average order value at scale.

Notable Moment

A brand working with media buyer Nick Shackelford scaled daily ad spend from $20K to $300K within 45 days — driven not by finding a single winning ad, but by obsessing over layered metric systems across all three buckets.

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Episode Transcript

Hey, founder fam. I want to talk to you about something super exciting. We're officially partnered with Omnisend, the email marketing and SMS platform built specifically for ecommerce founders. We've been recommending Omnisend to founder students for a while now because it just works. Whether you're launching your first store or you're scaling to 7 figures, it really helps you automate your marketing and get real results. Did you know on average, Omnisend customers make $68 for every $1 they spend, which is an insanely good return on investment? And because you're part of the founder community, you get 50% off your first three months with the code founder 50. Just head to omnisend.com forward / founder without the e to get started. Alright? Now let's jump back into the show. Hey, founder fam. Nathan here. Welcome back to another founder to founder episode. So, guys, if you're running Facebook ads or thinking about diving into them or you're stuck wondering why things aren't scaling, this episode is for you. Now over the past decade at Founder and now especially through our new product, Founder Operators, which is a membership where we have Nick Shackleford as one of our operators in residence, I've had the chance to see behind the scenes of hundreds of direct to consumer brands. And let me tell you, the ones that scale, they all have one thing in common. They obsess over their numbers. Like Nick, you know, he's a partner at Brez and he's taken that business from 0 to 70,000,000 US dollars in two years. He was showing me a brand that he was working with. He's only been working with them for forty five days, and he scaled them from $20,000 a day in paid advertising spend, that's US dollars, 20,000 a day to 200 to 250, sometimes 300,000 US dollars a day. And one thing I've found is, you know, he is so big on knowing the metrics and it's not just ROAS. It's not just conversion rates. It's definitely not just the data you see in the Facebook ads manager. It's about understanding the full picture from traffic to creative to your business economics. So today, I really wanna break that down for you. Those core metrics you need to watch like a hawk if you wanna scale your Facebook ads. And if you are interested in working with us and applying to our founder operators membership, you can go to founder.comcom/operator. I'll tell you about that a little more later. Hear the stories. Learn the proven methods and accelerate your growth and future through entrepreneurship. Welcome to the founder podcast with Nathan Channel. Let's start with this. Most people think about scaling as finding that one winning ad and then just spending more behind it, but that's not how it works, especially not anymore. Scaling successfully means really understanding how to balance out multiple pillars. So it's about traffic quality. It's about creative performance. It's your conversions, your offer …

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Books, tools, and gear mentioned in this episode

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Tools

  • HotjarRecommended

    by Hotjar

    Use tools like Hotjar to identify drop-off points, then test offer framing, page speed, and checkout flow before blaming underperforming ads.

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