Ecommerce Playbook: Numbers, Struggles & Growth

Most ecommerce brands are making slower, worse decisions than they realize, and it's not because of bad people. It's because of a broken structure.
In this episode, Richard sits down with Luke and Tony to break down one of the most important benefits of the Prophit Engine: total clarity. From fragmented data and siloed teams to a single operator with a full end-to-end view of the business, they unpack exactly why consolidation leads to better decisions, faster action, and stronger results.
They also walk through a real-world sale that crushed projections, and explain why having three people with three partial views of the same problem is often worse than having one person with the complete picture.
In this episode:
Why siloed teams lead to degraded decision making

The 3 layers of clarity the Prophit Engine provides

How a single operator outperformed a multi-person workflow over a live sale weekend

Why your Meta media buyer needs to understand your inventory position

What the biggest ecommerce opportunity looks like in 2026

The litmus test: How much of your weekly marketing meeting is spent figuring out what's going on — versus actually making decisions to change it?
If most of your time is in the first bucket, this episode is for you.
Show Notes:
Visit Postscript.io to turn your replies into revenue.

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 one person could replace your entire ecommerce growth team, and get better results? In this episode Richard and Luke break down exactly how the Profit Engine works and why it's changing the way DTC brands scale.
Luke walks through the four core functions every ecommerce brand needs — forecasting & target setting, creative strategy, media measurement, and Meta media buying — and explains how one person, enabled by the right tools and data models, can own all four. The result? A leaner, faster, more profitable growth operation.
What we cover:
What the Profit Engineer role is and why it exists

The 4 data models powering the forecasting system (Spending Power, Retention, Event Effect & Creative Demand)

How to build a daily forecast accurate to within 3% of target

How the Ad Plan determines exactly how much creative you need and who should make it

How Media Mix Modeling (MMM) and geo holdout incrementality testing optimize budget allocation across channels

How the "Push to Build" feature launches Meta ads in seconds instead of hours

Why reducing time from insight to action is the real unlock for ecommerce growth

Everything you need to understand the Profit Engine system — from the data models to the media buying — is in this episode.
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

Common Thread Collective just launched the Prophit Engine to the public—and in this episode, Richard and Taylor break down what it is, why it exists, and how it helps DTC brands forecast more accurately, grow contribution margin, and simplify their growth stack for less cost. 
You’ll hear how CTC is combining data + methodology + AI-enabled tooling into a system (and a new “Profit Engineer” role) that replaces complexity with clear expectations and execution.
What we cover
Why profit + predictability are harder than ever for DTC

What the Prophit Engine is and the outcomes it’s built to deliver

How the Profit Engineer role collapses growth strategy, Meta buying, and creative strategy into one operator

What brands still own vs. what CTC takes off the plate—and who this works best for

In short: this episode introduces CTC’s Prophit Engine as a tech-enabled operating system for growth—built to replace a fragmented stack of people + tools with one clear forecast, tighter execution, and accountability to contribution margin. If you’re trying to run leaner without sacrificing performance, this is the blueprint for how CTC thinks the next era of agency services will work.
Show Notes:
Get Dataships' free A/B test: https://www.dataships.io/demo
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

In this episode, Richard and Taylor Holiday discuss the rise of the “SEANs” — the Software-Enabled AgeNcy — and why it represents a fundamental shift in how eCommerce brands will build growth teams going forward.
Taylor explains how traditional agencies struggle to operationalize institutional knowledge across individuals, leading to inconsistent execution and diffused accountability. The solution? Embedding a clear point of view directly into software, turning ideology into infrastructure. Rather than offering neutral tools like Ads Manager, CTC is building software with an opinion: a system designed to unify marketing and finance around a daily, trackable path to predictable, profitable growth.
The conversation explores:
Why “software with a point of view” is different from open-ended tools

How declining SaaS gross margins and rising customer demands for outcomes are collapsing the line between software and services

Why agencies are becoming more like software companies — and software companies more like agencies

The impact of AI on compressing labor costs and increasing individual output expectations

If you care about the future of growth teams, SaaS economics, and how AI is reshaping both labor and leverage inside eCommerce, this conversation is a must-listen.
Show Notes:
Get Dataships' free A/B test: https://www.dataships.io/demo

Explore the PROPHIT System: http://prophitsystem.com

The Ecommerce Playbook mailbag is open — email us at podc

Incrementality tests are “in”… but the real problem is what you do after the read.
In this episode, Taylor sits down with Olivia Kory (Chief Strategy Officer at Haus) and George Davis (CMO at Cozy Earth) to unpack the messiest part of modern measurement: operationalizing incrementality when results swing, channels conflict, and “platform ROAS” can’t be trusted.
If you’ve ever asked:
“Our holdout came back way lower than Meta… now what?”

“Why don’t test results replicate month-to-month?”

“How do I actually use an incrementality factor in real budget decisions?”

“If everything is under 1.0 iROAS… should we cut spend or keep investing?”

…this one is for you.
What we cover
Why incrementality requires a holdout (and why “spend up / spend down” isn’t enough)

The replication problem: why results change even with “clean” tests

The gap between measurement and optimization (platforms optimize for attribution, not incrementality)

How operators use incrementality factors without letting them become a blunt instrument

Why channel vs. channel is often the wrong fight (and why profit thresholds matter more)

iROAS → IMR (Incremental Marginal Return): a more intuitive way to compare performance

Budget cadence: daily realities vs monthly allocation decisions

Long-term effects, “adstock” claims, and why post-treatment windows matter

Practical levers that can improve results: creative, account structure, exclusions, distribution expansion (Amazon/retail)

Got a weird incrementality result? Drop it in the comments. We’ll let you know what we’d do next.
Read this next: CTC Core Methodology Series: Marketing Measurement - https://bit.ly/4tW2JwF
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 System: http://prophitsystem.com

The Ecommerce Playbook mailbag is open — email us at [email protected] to ask us any questions you might have