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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 youThe measurement gap: reality vs. fiction, and how to move closer over timeGeo holdout tests explained — how they work, why they're the gold standardCTC's incrementality benchmarks by channel: Facebook acquisition (1.14x iROAS), Google Branded (0.27x iROAS), and moreWhy Google branded search dramatically over-reports ROASHow iROAS normalization enables true apples-to-apples channel comparisonThe three-stage framework: aggregate benchmark, individual test, accumulated medianWhy iROAS is always subordinate to contribution marginShow Notes:Go to https://bit.ly/4aiEz79 to start your free migration with Omnisend todayExplore the Prophit Engine: https://commonthreadco.com/pages/prophit-engineThe Ecommerce Playbook mailbag is open — email us at podcast@commonthreadco.com 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 themTopics covered:Why a single ROAS number can't run a businessThe Spending Power Model — ACoNS curves and what spending power actually tells youThe Retention Model — forecasting returning revenue cohort by cohortThe Event Effect Model — how to get daily precision without breaking monthly targetsThe Creative Demand Model (teased — full breakdown in the creative strategy episode)How these four models wire together into a connected forecast systemWhat R-squared below 0.6 signals about your retention dataThe three optimization points every brand should know: max CM, max revenue, max LTV CMKey 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 todayExplore the Prophit Engine: https://commonthreadco.com/pages/prophit-engineThe Ecommerce Playbook mailbag is open — email us at podcast@commonthreadco.com 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 constantlyThe two criteria that actually drive platform decisions: cost and timeHow Omnisend managed the full migration, from contact database to flow automationsWhat the QA process looks like after a migration (and how long it takes)The warm-up mechanics: 9 days to re-engage 60,000 contactsWhy Q4 is the wrong time to switch email platforms (and when to do it instead)How an ESP migration becomes a flow audit opportunityCTC's Omnisend integration inside Statlas for forecast-connected email trackingShow 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-engineThe Ecommerce Playbook mailbag is open — email us at podcast@commonthreadco.com 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 usefulThe "tigers not mice" framework for prioritizing what actually mattersQualitative planning: how a 12-month marketing calendar becomes a mathematical inputThe Spending Power (AMER) model and three optimization modes for new customer spendCohort LTV modeling: why active vs. lapsed customer distinction changes everythingThe Event Effect model: how marketing moments get quantified, not just scheduledBuilding a full P&L forecast from customer cohorts up, not channel metrics downWhy contribution margin is the north star metric, not ROASPlot, Pivot, Profit: the daily cadence that makes forecasts self-correctingThe "What / So What / Now What" daily operating format used by CTC profit engineersResults: 3% forecast accuracy across $4B GMV, 32% avg revenue growth, 41% avg CM growthThis 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 todayExplore the Prophit Engine: https://commonthreadco.com/pages/prophit-engineThe Ecommerce Playbook mailbag is open — email us at podcast@commonthreadco.com 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 downHow CTC's methodology updates in real time through aggregate testingWhy evaluating agencies by individual talent is an outdated frameworkThe role of AI in deploying institutional methodology at scaleFrontier methodology: catalog strategy, affiliate creative, TikTok ShopsHow brands should codify their own methodology for better partner outcomesWhy publishing methodology for scrutiny is a competitive advantageShow 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 TapcartExplore the Prophit Engine: https://commonthreadco.com/pages/prophit-engineThe Ecommerce Playbook mailbag is open — email us at podcast@commonthreadco.com 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 advantageThe Canon: CTC's 12-year methodology written down and codifiedTurning tribal knowledge into AI skills that any team member can deployThe Profit Engineer model and why it worksWhy structured data is the moat for ecommerce brandsMCP (Model Context Protocol): connecting your entire data stack to AICTC is making the Statlas MCP free for every brandH2 plans built by the system, reviewed by your engineerLoops, alerts, and the future of automated diagnosisLearn more about CTC's creative services → https://commonthreadco.comShow Notes:Go to https://bit.ly/4aiEz79 to start your free migration with Omnisend todayExplore the Prophit Engine: https://commonthreadco.com/pages/prophit-engineThe Ecommerce Playbook mailbag is open — email us at podcast@commonthreadco.com 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 problemHow Facebook's auction works against you at higher spend levelsThe AOV vs. CAC framework that reveals who you're really competing againstWhy the AOV vs. conversion rate log curve determines your offer's viabilityHow static images outperform expensive videos when you have offer-market fitCTC's Marketing Moments service and the revenue guarantee behind itThe sequence that matters: product-market fit → offer-market fit → creative strategyKey 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-engineThe Ecommerce Playbook mailbag is open — email us at podcast@commonthreadco.com to ask us any questions you might have

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 daysWhy performance data runs creative strategy (not opinions)20 ads per batch and the 5% hit rate realityHow AI enables speed without replacing human designersProduct-level personas vs. brand-level personas (the big unlock)Why emotional copy beats sterile benefit-listing every timeThe review platform that killed the feedback game of telephoneHow to iterate on winners and compound creative insightsLearn more about CTC's creative services → https://commonthreadco.comShow Notes:Go to https://bit.ly/4aiEz79 to start your free plan todayExplore the Prophit Engine: https://commonthreadco.com/pages/prophit-engineThe Ecommerce Playbook mailbag is open — email us at podcast@commonthreadco.com to ask us any questions you might have

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 loopHow execution and strategy split 50/50 (and when that flexes)Why daily action beats waiting for a weekly callThe scientific method applied to eCommerce growthContingency planning that saved Black FridayHow Statlas and AI tools accelerate diagnosisWhat makes a Profit Engineer different from an account manager6:45 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-engineerShow 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-engineThe Ecommerce Playbook mailbag is open — email us at podcast@commonthreadco.com to ask us any questions you might have

Randall Thompson built an ecommerce brand from scratch, scaled it to eight figures, and sold it. Along the way, he learned that the goals he set had almost nothing to do with what his business could actually deliver.In this episode, Randall joins Richard to break down what it means to understand your business's DNA, the non-negotiable metrics (COGS, repeat rate, margins) that determine what's actually possible, and how to align your goals to reality instead of fantasy.They cover the three goal buckets every founder should be thinking about, why all roads lead to profit regardless of your endgame, and how CTC's Prophit System functions as a data-driven reality check for your brand.In This Episode:Why every business has a "DNA" that determines its ceilingThree goal categories: build to sell, raise capital, or optimize for lifestyleHow to connect daily execution metrics to long-term outcomesWhy money may be flowing back into eCommercePersonal brand as a key element of business DNAHow CTC's Prophit System gives you a second opinion rooted in dataShow Notes:Go to https://bit.ly/4aiEz79 to start your free plan todayExplore the Prophit Engine: https://commonthreadco.com/pages/prophit-engineThe Ecommerce Playbook mailbag is open — email us at podcast@commonthreadco.com to ask us any questions you might have