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Meta has fundamentally changed how it targets and delivers ads, and most brands are still operating on the old rules. In this episode, CTC's VP of Paid Media Tony Chopp breaks down the CTC Methodology for Meta advertising: why creative is now the targeting, how Meta's Andromeda and GEM systems make decisions no human operator can match, and the counterintuitive principle that defines how our profit engineers manage accounts every single day.
Topics covered:
How Andromeda and GEM replaced audience-first targeting
The breakdown effect and why historical ROAS doesn't predict future ROAS
Campaign structure: evergreen vs. marketing moment campaigns
Signal quality, CAPI integration, and event match quality scores
Budget liquidity and why day-to-day spend variance is a feature, not a bug
The four-phase framework for solving underspend
Why turning off ads is the single most common mistake brands make
Key stat: Meta's Andromeda enables a 10,000x increase in model capacity per impression opportunity.
Show Notes:
Book a free demo at tapcart.com/ctc to learn how brands like Aviator Nation, BEIS, Athletic Brewing, and thousands more are winning with Tapcart
Explore the Prophit Engine: https://commonthreadco.com/pages/prophit-engine
The Ecommerce Playbook mailbag is open — email us at [email protected] to ask us any questions you might have
Your platform ROAS is not the truth. It's a story your attribution tool tells you. Luke Austin, breaks down exactly how CTC approaches marketing measurement — and why the gap between platform-reported numbers and actual incremental revenue is where most brands make their worst capital allocation decisions.
This is Part 3 of the CTC Canon Series — our codified methodology across the core disciplines of ecommerce growth. In this episode, Luke covers the full measurement framework: why geo holdout tests are the gold standard, how CTC's database of hundreds of incrementality tests gives every new brand a head start, and what it means to build "progressive truth" over time instead of chasing a single source of truth.
Topics covered:
Why media efficacy is always in flux — and why any system that treats it as fixed is lying to you
The measurement gap: reality vs. fiction, and how to move closer over time
Geo holdout tests explained — how they work, why they're the gold standard
CTC's incrementality benchmarks by channel: Facebook acquisition (1.14x iROAS), Google Branded (0.27x iROAS), and more
Why Google branded search dramatically over-reports ROAS
How iROAS normalization enables true apples-to-apples channel comparison
The three-stage framework: aggregate benchmark, individual test, accumulated median
Why iROAS is always subordinate to contribution margin
Show Notes:
Go to https://bit.ly/4aiEz79 to start your free migration with Omnisend today
Explore the Prophit Engine: https://commonthreadco.com/pages/prophit-engine
The Ecommerce Playbook mailbag is open — email us at [email protected] to ask us any questions you might have
Most brands forecast from gut feel and ROAS. CTC runs on four interlocked proprietary models that produce a daily P&L forecast with 3.1% accuracy across more than $3 billion in GMV. In Part 2 of the Canon series, Luke Austin breaks down each model, how they connect, and what a Profit Engineer actually does with them
Topics covered:
Why a single ROAS number can't run a business
The Spending Power Model — ACoNS curves and what spending power actually tells you
The Retention Model — forecasting returning revenue cohort by cohort
The Event Effect Model — how to get daily precision without breaking monthly targets
The Creative Demand Model (teased — full breakdown in the creative strategy episode)
How these four models wire together into a connected forecast system
What R-squared below 0.6 signals about your retention data
The three optimization points every brand should know: max CM, max revenue, max LTV CM
Key stat: 3.1% forecast accuracy across $3B+ in GMV managed — producing 30%+ revenue growth and 40%+ contribution margin growth.
Show Notes:
Go to https://bit.ly/4aiEz79 to start your free migration with Omnisend today
Explore the Prophit Engine: https://commonthreadco.com/pages/prophit-engine
The Ecommerce Playbook mailbag is open — email us at [email protected] to ask us any questions you might have
Every dollar spent on SaaS is a dollar that does not go into ads.
In this episode, Luke Austin sits down with Gil Dyen, Head of Marketing at Rutsu Barefoot, to walk through a real email and SMS platform migration to Omnisend — what drove the decision, what the process actually looked like, and how a 60,000-contact list got fully migrated in under 30 days with less than a working day of direct involvement.
Gil runs marketing at a mid-7-figure DTC footwear brand that has sold 45,000 units in its first 18 months, with a clear mandate: keep SaaS costs lean, reinvest every freed dollar into Meta spend and creative, and build the retention engine that takes the brand from 12% returning customers today to 45% by year three.
Topics covered in this episode:
Why a bootstrapped DTC brand audits its SaaS stack constantly
The two criteria that actually drive platform decisions: cost and time
How Omnisend managed the full migration, from contact database to flow automations
What the QA process looks like after a migration (and how long it takes)
The warm-up mechanics: 9 days to re-engage 60,000 contacts
Why Q4 is the wrong time to switch email platforms (and when to do it instead)
How an ESP migration becomes a flow audit opportunity
CTC's Omnisend integration inside Statlas for forecast-connected email tracking
Show Notes:
Axon is offering $5K ad credit when you spend $5K. Go to https://axon.ai/en/ctc to set up your first campaign.
Explore the Prophit Engine: https://commonthreadco.com/pages/prophit-engine
The Ecommerce Playbook mailbag is open — email us at [email protected] to ask us any questions you might have
Every forecast is wrong. The question is whether yours is useful.
Luke Austin, walks through the CTC Methodology series opener: a complete operating model for making profit predictable across ecommerce brands. This is not a spreadsheet. It is a four-step system built on 12 years of experience and $4 billion in GMV, combining proprietary data science with daily operational discipline to hit 3% forecast accuracy at scale.
Topics covered in this episode:
Why all models are wrong and what makes the best ones useful
The "tigers not mice" framework for prioritizing what actually matters
Qualitative planning: how a 12-month marketing calendar becomes a mathematical input
The Spending Power (AMER) model and three optimization modes for new customer spend
Cohort LTV modeling: why active vs. lapsed customer distinction changes everything
The Event Effect model: how marketing moments get quantified, not just scheduled
Building a full P&L forecast from customer cohorts up, not channel metrics down
Why contribution margin is the north star metric, not ROAS
Plot, Pivot, Profit: the daily cadence that makes forecasts self-correcting
The "What / So What / Now What" daily operating format used by CTC profit engineers
Results: 3% forecast accuracy across $4B GMV, 32% avg revenue growth, 41% avg CM growth
This is Episode 1 of the CTC Canon Series. The Canon represents CTC's cumulative operating principles across 12-plus years and hundreds of brands, covering forecasting, media buying, creative strategy, email, and media measurement.
Show Notes:
Go to https://bit.ly/4aiEz79 to start your free migration with Omnisend today
Explore the Prophit Engine: https://commonthreadco.com/pages/prophit-engine
The Ecommerce Playbook mailbag is open — email us at [email protected] to ask us any questions you might have
What if your agency published every opinion, every framework, and every strategy they use to grow your brand? That's exactly what CTC just did.
The Canon is a decade of ecommerce methodology distilled into seven categories: technology, forecasting, marketing measurement, Meta advertising, Google advertising, email strategy, and creative strategy. It's not a pitch deck. It's the actual operating system behind how CTC grows 170+ ecommerce brands.
In this episode, Taylor Holiday walks through why codifying methodology changes everything, how The Canon updates itself through live testing across hundreds of brands, and why the way you evaluate agencies is about to fundamentally shift.
Topics covered:
What The Canon is and why methodology needs to be written down
How CTC's methodology updates in real time through aggregate testing
Why evaluating agencies by individual talent is an outdated framework
The role of AI in deploying institutional methodology at scale
Frontier methodology: catalog strategy, affiliate creative, TikTok Shops
How brands should codify their own methodology for better partner outcomes
Why publishing methodology for scrutiny is a competitive advantage
Show Notes:
Book a free demo at tapcart.com/ctc to learn how brands like Aviator Nation, BEIS, Athletic Brewing, and thousands more are winning with Tapcart
Explore the Prophit Engine: https://commonthreadco.com/pages/prophit-engine
The Ecommerce Playbook mailbag is open — email us at [email protected] to ask us any questions you might have
Taylor Holiday reveals the system CTC built to deploy 12 years of ecommerce knowledge across every brand they manage. From AI-powered scouting reports for his son's Little League team to the Canon, CTC's institutional playbook, and the MCP database now free for every client.
Topics covered:
How AI + unique knowledge + the right data creates competitive advantage
The Canon: CTC's 12-year methodology written down and codified
Turning tribal knowledge into AI skills that any team member can deploy
The Profit Engineer model and why it works
Why structured data is the moat for ecommerce brands
MCP (Model Context Protocol): connecting your entire data stack to AI
CTC is making the Statlas MCP free for every brand
H2 plans built by the system, reviewed by your engineer
Loops, alerts, and the future of automated diagnosis
Learn more about CTC's creative services → https://commonthreadco.com
Show Notes:
Go to https://bit.ly/4aiEz79 to start your free migration with Omnisend today
Explore the Prophit Engine: https://commonthreadco.com/pages/prophit-engine
The Ecommerce Playbook mailbag is open — email us at [email protected] to ask us any questions you might have
Joy Sharma runs CTC's PE7 program for mid to high 7-figure brands pushing toward 8 figures. His claim: if you're stuck at a growth plateau and you've tried more creative, new ad structures, and different platforms, we can tell you what's wrong without even looking at your account. The answer is offer-market fit.
In this episode, Joy breaks down why Facebook's auction forces you to compete against increasingly sophisticated players as you scale spend, why the AOV-to-CAC ratio in your industry determines your ceiling, and how CTC's Marketing Moments service guarantees incremental revenue by solving the offer problem first.
In this episode:
Why growth plateaus are a business problem, not a marketing problem
How Facebook's auction works against you at higher spend levels
The AOV vs. CAC framework that reveals who you're really competing against
Why the AOV vs. conversion rate log curve determines your offer's viability
How static images outperform expensive videos when you have offer-market fit
CTC's Marketing Moments service and the revenue guarantee behind it
The sequence that matters: product-market fit → offer-market fit → creative strategy
Key insight: Creative strategy should be a volume mechanism, not an efficiency mechanism. If you're trying to solve a business problem with a marketing solution, that's where businesses go to die.
Show Notes:
Axon is offering $5K ad credit when you spend $5K. Go to https://axon.ai/en/ctc to set up your first campaign.
Explore the Prophit Engine: https://commonthreadco.com/pages/prophit-engine
How do you build branded ads fast enough to find winners at scale? Nisha Fermawi, Senior Branded Ads Manager at CTC, breaks down the exact system that delivers ad plans in 24 hours, moves to production in a week, and uses performance data to drive every creative decision.
In This Episode:
The full branded ads pipeline: kickoff to live ads in 10 business days
Why performance data runs creative strategy (not opinions)
20 ads per batch and the 5% hit rate reality
How AI enables speed without replacing human designers
Product-level personas vs. brand-level personas (the big unlock)
Why emotional copy beats sterile benefit-listing every time
The review platform that killed the feedback game of telephone
How to iterate on winners and compound creative insights
Learn more about CTC's creative services → https://commonthreadco.com
Show Notes:
Go to https://bit.ly/4aiEz79 to start your free plan today
Explore the Prophit Engine: https://commonthreadco.com/pages/prophit-engine
What does a CTC Profit Engineer actually do all day? Brian Sakansky, Profit Engineer Manager at CTC, breaks down the exact daily, weekly, and monthly cadence behind managing 7, 8, and 9-figure eCommerce brands. From Monday's plan reset to Friday's close-the-loop review, this is the operating system behind the Profit Engine.
In this episode:
The weekly rhythm: reset, diagnose, align, ship, close the loop
How execution and strategy split 50/50 (and when that flexes)
Why daily action beats waiting for a weekly call
The scientific method applied to eCommerce growth
Contingency planning that saved Black Friday
How Statlas and AI tools accelerate diagnosis
What makes a Profit Engineer different from an account manager
6:45 AM to 4:30 PM: A Day in the Life of a Profit Engineer: https://commonthreadco.com/blogs/coachs-corner/6-45-am-to-4-30-pm-a-day-in-the-life-of-a-profit-engineer
Show Notes:
Axon is offering $5K ad credit when you spend $5K. Go to https://axon.ai/en/ctc to set up your first campaign.
Explore the Prophit Engine: https://commonthreadco.com/pages/prophit-engine
The Ecommerce Playbook mailbag is open — email us at [email protected] to ask us any questions you might have
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