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One DTC brand was running at 8x ROAS. Media buying team was celebrating. The dashboards looked incredible. They were also losing $100,000 every single month.

That's the story Adam Callinan, CEO of Pentane and co-founder of the $60M Bottlekeeper brand, brought to this week's podcast. And it's the thread that connects everything in this edition: the gap between what your metrics say and what your bank account actually shows is wider than most founders realize.

Your ROAS can look strong. Your GA4 reports can appear clean. Your ad campaigns can show profitable returns. And your business can still be underwater, because the numbers you're trusting were never complete to begin with.

This week we're unpacking how that brand flipped from negative $100K to positive $50K in monthly profit within 90 days, what Harley Finkelstein's "agentic is merit-based" comment actually means for your ability to compete against big retailers, and what Meta's Andromeda update demands from your ad creative starting right now.

The data layer is the foundation that holds all of it together. Whether you're spending $3K a month on ads or $300K, you can't make good decisions from broken numbers.

Here's what made the cut this week:

🎧 This Week's Podcast — How one DTC brand went from losing $100K/month at 8x ROAS to $50K in monthly profit in 90 days, with Adam Callinan of Pentane

💡 Knowledge Drops — Why agentic AI levels the playing field for independent brands (Harley Finkelstein's take), and what Meta's Andromeda update means for your ad creative strategy

🔥 Tool of the Week — Littledata: fix the 20% of orders your GA4 is silently missing right now

📡 Industry Pulse — The Perplexity/Amazon agentic commerce court battle, Google AI Overviews hitting 14% of shopping queries, Shopify Payments expansion, and Klaviyo's new global localization feature

Let's get into it. 👇

Revenue is up, ROAS looks great, orders are climbing, yet the bank account still feels broke. This is the episode you share with any operator who's ever stared at a green dashboard and wondered, "So where's the money?"

I sat down with Adam Callinan, CEO of Pentane and co-founder of the $60M Bottlekeeper brand, to unpack why "great" ad performance can still mask a business that's quietly losing money. Whether you're at $500K or $5M a year, this conversation will change how you read your metrics.

Here's a quick taste of what's inside:

How Pentane's very first client was running 8x ROAS while hemorrhaging $100K a month. The fix wasn't cutting ad spend. It was the opposite. And the specific number their ROAS needed to drop to will probably surprise you.

Why Adam built a framework called the Profit Pyramid, and why the layer most founders obsess over is the one that matters least when the foundation underneath it is broken.

The real cost structure hiding behind your "profitable" campaigns. Adam breaks down exactly which expenses are invisible in your ad dashboards and how they silently destroy what looks like a winning ROAS.

If you touch media buy decisions or set ad budgets, this one changes the math you're using to make those calls.

For Shopify brands, every customer call is a chance to support faster and convert extra sales. Consio is the AI Phone Platform for Shopify brands looking to unlock the potential of the voice channel:

Kala Therapy generated $100K in phone revenue in 30 days with Consio. Will your brand seize the opportunity?

Four days ago at the Upfront Summit in LA, Shopify president Harley Finkelstein dropped a line that should make every independent brand pay attention: "Agentic is fundamentally merit-based." That sounds abstract until you think about what it replaces. Right now, when someone types "sneakers" into Google, they mostly see whoever paid the most to be there. In an agentic world, a personal AI shopping assistant pulls from preferences, purchase history, and genuine fit, then recommends the best product, not the highest bidder.

This isn't a thought experiment anymore. AI-driven orders on Shopify grew 15x year over year in 2025, and this shift is already in the courts (more on the Perplexity case below). The question for independent brands is whether your product data, trust signals, and customer experience are structured in a way that these agents can actually find and recommend you.

The full breakdown covers the three specific areas where merit-based discovery creates leverage for independents that big-box retailers can't replicate with budget alone, and why the brands already investing in one often-ignored layer of their store are going to have a compounding head start.

If your Facebook and Instagram performance has been unpredictable since late last year, there's a specific reason, and it's not your targeting. Meta's Andromeda engine, the biggest overhaul of their ad delivery system since iOS 14, finished its global rollout in October, and it fundamentally changes how your ads get picked for delivery.

The short version: before your ad even enters the auction, Andromeda now scores your creative and filters out anything that doesn't pass. The system starts with what you're showing, not who you're targeting. That's a direct inversion of how most brands have been building their accounts for years, and it explains why campaigns that worked six months ago are suddenly inconsistent.

What's interesting is the pattern emerging from brands that have already adapted. The ones winning right now aren't micromanaging dozens of audiences. They've restructured around a completely different lever, and the results show a clear divide between brands that made the shift and those still running last year's playbook.

The full breakdown covers the three structural changes Andromeda demands of your ad account, including the specific refresh cadence that keeps the algorithm fed, and why one data layer issue can silently sabotage everre doing in paid media.

That's not a hypothetical — the average DTC brand is missing 20–30% of transaction data in GA4 right now. Ad blockers, iOS privacy restrictions, Shop Pay redirects, and subscription renewals all silently break Shopify's default tracking. The result? Your ROAS looks worse than it actually is, Meta and Google's algorithms optimize against incomplete data, and you end up killing profitable campaigns you should be scaling.

Littledata is the server-side data layer that fixes this in about 10 minutes — no GTM, no code, no developer. It connects your Shopify store directly to Google Analytics, Google Ads, Meta Conversions API, Klaviyo, and more, capturing every conversion that browser-based tracking misses. Over 2,000 Shopify brands trust it as the foundation for their marketing decisions.

If you're spending on paid acquisition and making decisions from GA4 reports, you need to know whether your data is lying to you first.

Free webinar next Wednesday: How two Shopify tools are using agentic SMS to recover abandoned revenue

Text just hit a 74% AI resolution rate across all licenses, outperforming both Fin (66%) and Zendesk (39 to 66%). Peter Sarzynski (Head of Sales at Text) and Nina Tomczak (Marketing Automation Expert at 2way) are hosting a free webinar on March 25 at 12:00 PM ET, breaking down how to combine live chat with agentic SMS automation to recover revenue before hesitant buyers drop off.

If there's one thing Adam Callinan's story makes clear, it's that the fix is almost never what you expect. A brand losing $100K a month didn't need to cut ad spend. They needed to triple it. The numbers were right; the interpretation was wrong.

That's the most dangerous place to be right now: confident in the wrong numbers.

If something in today's edition made you second-guess a metric you've been trusting, hit reply and tell me what it is. Those conversations are exactly what shape where we go deeper next week.

Keep building.

Cheers,

— Steve

P.S. Missed a previous edition? Browse the Fastlane Insider Archive for past strategies and playbooks.