Ecommerce Playbook: Numbers, Struggles & Growth

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 podcast@commonthreadco.com 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 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 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 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 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 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 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 podcast@commonthreadco.com to ask us any questions you might have