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 podcast@commonthreadco.com

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 podcast@commonthreadco.com

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: https://www.dataships.io/demohttps://commonthreadco.com/pages/prophit-enginepodcast@commonthreadco.com

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 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 podcast@commonthreadco.com

Sales tax feels simple—until you hit nexus. In this episode, Ryan Pinkham (VP of Go-to-Market at TaxCloud) breaks down why sales tax gets complex fast for growing ecommerce brands, what happens when you cross nexus thresholds in new states, and how ignoring compliance can turn into a painful (and expensive) distraction. We cover: What sales tax nexus actually means for ecommerce The three “buckets” of brands (doing nothing, unhappy with current tools, or knowingly delaying) Why sales tax is a year-round operational load How modern brands approach checkout tax vs. filing/registration The Streamlined Sales Tax (SST) program and why 24 states matter A simple start-of-year checklist to get compliant and reduce risk If you had a strong Q4 and expanded into new states, this is your sign to do a quick nexus and tooling review.. Show Notes: TaxCloud has you covered: https://taxcloud.com/thread/ Explore the PROPHIT System: http://prophitsystem.com podcast@commonthreadco.com

Acquisition is getting tighter! In this episode, we flip the script and talk about the lever most brands under-invest in: retention + lifecycle marketing. Taylor is joined by Jennifer Peters, Director of DTC, MarTech & Digital Compliance at OLLY (a Unilever brand), to break down how they think about keeping customers coming back when the brand is sold everywhere — from Target and Walmart to their own DTC site. We get into what retention really means beyond “subscription,” how to message customers when you don’t want to channel-shift them, and how OLLY is using loyalty (including receipt scanning) to better understand in-store shoppers. What you’ll learn: How OLLY drives retention across DTC + retail Email vs SMS strategy, plus segmentation that prevents “list blasting” Using loyalty + receipt scanning to understand in-store shoppers Setting smarter KPIs for promos, launches, and content Why they chose Attentive, how they handled ESP migration, and where AI actually helps The first retention moves: audit flows, refresh creative, nail the basics If you’re running ecommerce for a consumable, CPG, or multi-channel brand, this is a must-watch for building a retention engine that actually scales. Show Notes: See how Attentive helps connect people and the brands they love.: https://bit.ly/4ag8oEJ Explore the PROPHIT System: http://prophitsystem.com podcast@commonthreadco.com

In this episode, Richard and Luke unpack a pattern they couldn’t ignore after running 224 sales call transcripts through an LLM: The #1 issue mid-market ecommerce brands face isn’t that performance is down… it’s that they don’t know why performance is happening. And when you don’t trust the numbers, you can’t trust the decisions. Luke walks through a painfully familiar weekly business review scenario—multiple agencies, multiple dashboards, multiple “versions of the truth”—where 80% of the meeting is spent trying to figure out what’s actually going on, and almost none of it translates into confident action. What you’ll learn in this episode: Why brands don’t hire help because results are bad—they hire because clarity is missing The hidden cost of “dashboard chaos” (and why more stakeholders often makes it worse) The 3-step framework to go from confusion → clarity → action: Why incrementality (geo holdouts) is the gold standard when ROAS debates never end How to sanity-check your “real-time” metrics against your closed P&L (and what variance is acceptable) They also tease what they’ve been building to solve this problem end-to-end: a higher-capacity operator role designed to reduce complexity and speed up decisions—so your team spends less time arguing about numbers and more time changing outcomes. If you’re leading growth at a brand in the $10M–$100M range and your team spends more time debating performance than improving it, this one will hit home. 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 podcast@commonthreadco.com

Scaling a DTC brand from $1M → $10M isn’t about finding more “hacks,” it’s about focusing on the right growth lever at the right revenue stage. In this episode, Richard and Joy, break down a practical “one move per stage” roadmap for scaling through seven figures into eight. What you’ll learn in this video $1M → $2M: Why creative volume is the unlock (and why the benchmark is ~100 ads/month) $2M → $3M: Build a marketing calendar (one marketing moment per month) to create “reasons to buy” beyond evergreen $3M → $4M: The stage where brands stagnate most: offer market fit + offer testing (and why it’s so industry-dependent) $4M → $5M: Creative again—but at a different level (think 100 ads/week) $5M → $6M: Product development for LTV (front-end vs back-end products, subscription angles, upsell paths) $6M → $7M: When “tactics” finally matter—international expansion, audience expansion, email, CS, and other incremental edges $7M → $8M: Why media buying becomes bespoke (your account structure should reflect what’s working: promos, whitelisting, LP testing, subscription, etc.) $10M+: The real unlock becomes people—why one A-player operator can outperform 10 average hires The big takeaway Most brands don’t need more noise—they need ruthless prioritization. The fastest path to $10M is doing the right thing for your stage, deeply, before moving on. Show Notes: See how Attentive helps connect people and the brands they love.: https://bit.ly/4ag8oEJ Explore the PROPHIT System: http://prophitsystem.com podcast@commonthreadco.com

In this episode, Richard and Luke break down the system we use to help 8-figure ecommerce brands stop guessing and start making confident decisions about budget, creative, and channel investment. They walk through the three core models that answer the questions every operator wrestles with: How much should we actually spend right now? How much creative do we need to support that spend? Which channels should we test next — and why? You’ll learn how to spot when additional ad spend becomes a bad trade, how to plan creative volume around real marketing moments (not vibes), and how to prioritize incrementality testing based on potential revenue impact — not opinion or politics. If your team would answer these questions differently depending on who you ask, this episode is for you. What we cover: How to identify when ad spend stops being efficient The Spending Power Model and how it sets real budget caps How creative volume directly affects performance and efficiency A practical framework for planning moment-based vs evergreen creative How to prioritize channel tests using incrementality ranges Why “waiting for perfect data” is often more dangerous than acting If you’re running or advising an 8-figure ecommerce brand and want a clearer way to allocate budget, plan creative, and make smarter growth decisions — this episode lays out the playbook. Show Notes: Get Dataships' free A/B test: https://www.dataships.io/demo Explore the PROPHIT System: http://prophitsystem.com podcast@commonthreadco.com

AI promised clarity. Instead, it delivered information overload. In this episode, we unpack what happens when AI gives ecommerce teams more data than they can reasonably act on, dashboards multiplying, forecasts diverging, tests contradicting each other, and decisions getting harder instead of easier. Taylor and Andrew talk through: Why AI surfaces problems faster than it solves them How “more insight” can actually paralyze operators The limits of forecasting, incrementality, and optimization at scale Where human judgment still matters, and always will What ecommerce leaders should focus on when the data stops agreeing This isn’t an anti-AI conversation. It’s a reality check. Because the competitive advantage isn’t knowing more, it’s knowing what to ignore, what to trust, and when to act. Show Notes: See how Attentive helps connect people and the brands they love.: https://bit.ly/4ag8oEJ Explore the PROPHIT System: http://prophitsystem.com podcast@commonthreadco.com

In this episode, Richard and Tony break down what agentic commerce actually is, why Shopify and Google’s Universal Commerce Protocol matters, and how AI-driven shopping is quietly replacing traditional websites, checkout flows, and even ads. Instead of customers clicking through pages, filtering products, and checking out manually, AI agents are beginning to discover products, compare options, negotiate price, and complete purchases on behalf of users. That shift has massive implications for marketers, founders, and operators. You’ll Learn: What agentic commerce really means (beyond the buzzwords) Why product data feeds are becoming the foundation of modern commerce How Shopify’s agentic checkout connects AI directly to your catalog What this means for SEO, paid media, and brand discovery Why reviews, social proof, and product structure matter more than ever How platforms like Meta are making everything shoppable What marketers should be paying attention to right now to stay ahead This episode isn’t about hype—it’s about understanding the infrastructure changes shaping the next era of e-commerce and how to prepare before it becomes the default. Show Notes: See how Attentive helps connect people and the brands they love.: https://bit.ly/4ag8oEJ Explore the PROPHIT System: http://prophitsystem.com podcast@commonthreadco.com

Creative strategy doesn’t fail because of bad ideas, it fails because it isn’t operationalized. In this episode, we break down how the Prophit System forecasts creative volume and turns creative production into a predictable, accountable growth lever. Using a real client example, we walk through how creative demand is modeled against spend targets, why most brands under-produce creative, and how forecasting creative volume eliminates fire drills, guesswork, and performance decay. We cover: How the Prophit System calculates monthly creative volume Why scaling spend without a creative forecast breaks efficiency The Creative Demand Model and creative scoring framework How evergreen creative stabilizes performance How persona-driven ads and AI accelerate creative execution Operationalizing creative across internal teams and external vendors Using creative forecasts to plan 12 months ahead — not react week to week If your team is stuck in reactive creative cycles or struggling to scale efficiently, this episode shows how forecasting creative output — not just media spend — changes the outcome. Show Notes: Get Dataships' free A/B test: https://www.dataships.io/demo Explore the PROPHIT System: http://prophitsystem.com podcast@commonthreadco.com

Most teams chase growth by adding new tools, dashboards, and AI. But real, durable growth doesn’t come from software, it comes from accountability. In this video, Taylor breaks down why growth stalls when no one owns the outcome, how daily operating rhythms turn forecasts into action, and what it actually takes to build a system that compounds over time. You’ll see why repetition beats reinvention, how strong teams close performance gaps faster, and why confronting friction is a prerequisite for real growth. You’ll learn: Why tools and AI don’t create growth without clear ownership How accountability turns forecasts into daily action The operating rhythm behind predictable, repeatable growth Why most growth systems break in the real world How clarity, capacity, and accountability work together to scale If you’re a founder, operator, or marketing leader tired of chasing the next tool, this is how real growth actually gets built. Show Notes: Get Dataships' free A/B test: https://www.dataships.io/demo Explore the PROPHIT System: http://prophitsystem.com podcast@commonthreadco.com

Forecasts are always wrong — what matters is how fast you respond. In this episode, we break down how top teams diagnose a miss early, tighten the signal-to-action loop, and use daily accountability to get January (and the year) back on track.

In this episode, Taylor explains why the traditional creative loop—analyzing past ads, chasing CTRs, writing briefs, and hoping for better results—isn’t just inefficient, it’s actively hurting growth. Instead, we break down what actually works in 2026: treating creative like a supply chain, not a brainstorming exercise. You’ll learn: Why creative strategy is no longer about ideas or opinions How to tie creative output directly to financial forecasts and media spend What a “creative demand plan” looks like in practice Why volume, velocity, and systems beat “great ads” every time How the role of creative strategist is collapsing into growth and profit engineering This conversation is for founders, CMOs, and operators running Meta ads at scale who are tired of guessing, reacting late, and burning money on creative that doesn’t move the business. If you’re still asking “What should this ad say?” instead of “What does the system need to produce this month?”—this episode will change how you think about creative forever. Show Notes: TaxCloud has you covered: https://taxcloud.com/thread/ Explore the PROPHIT System: http://prophitsystem.com podcast@commonthreadco.com

Is AppLovin actually incremental — or just another platform taking credit for demand that already exists? In this episode, we break down 8 real AppLovin incrementality tests run across live client accounts and share what the data actually shows. No speculation. No theory. Just results. We cover why AppLovin’s measurement is more conservative than most platforms, how its attribution model impacts reported performance, and why every test so far has come back positively incremental. From there, we move beyond the lab and into execution — sharing tactical learnings from running AppLovin at scale across multiple brands. You’ll hear practical insights on: How AppLovin incrementality compares to Meta, Google, and YouTube What we’ve learned from real spend, real revenue, and real tests Campaign structure, bidding strategies, and when to consolidate vs segment Creative formats that are working best inside mobile game environments Why AppLovin is emerging as a legitimate “third platform” in the paid media stack What Black Friday & Cyber Monday revealed about AppLovin’s scaling potential If you’re an e-commerce operator trying to decide whether AppLovin deserves real budget — or just a test — this episode will help you make that call with confidence. Show Notes: TaxCloud has you covered: https://taxcloud.com/thread/ Explore the PROPHIT System: http://prophitsystem.com podcast@commonthreadco.com

Most brands are chasing “perfect attribution.” That’s the wrong goal. In this episode of the Podcast, Tony sits down with Steve to break down what marketing measurement is actually for — and why accuracy with a capital-T isn’t just impossible, it’s counterproductive. Using the “Royal Cubit” metaphor, they explain why the purpose of measurement isn’t to find universal truth, but to create a shared reality that allows teams to make confident decisions at speed. From contribution margin at the business level to ROAS targets inside ad accounts, this episode walks through how CTC connects the entire measurement stack into a single operating system. They cover: Why platform numbers will never match — and why that’s okay How MMM and incrementality work together (not against each other) The hidden cost of chasing attribution precision How to prioritize incrementality tests that actually move revenue Why shared metrics matter more than “correct” ones What better measurement unlocks for upper-funnel and channel expansion in 2026 If you’re responsible for budget allocation, performance efficiency, or explaining results to a CFO, this episode reframes how measurement should work — and what actually matters when the goal is contribution margin, not dashboard perfection. Show Notes: https://www.dash.fi/https://calendly.com/d/ct8f-w59-824/dashfi-x-common-thread-collective-introhttp://prophitsystem.compodcast@commonthreadco.com

The last five years of DTC forced brands through extreme conditions—easy money, explosive growth, brutal pullbacks, rising CAC, tariffs, and shrinking consumer demand. In this presentation from the Commerce Roundtable, Taylor Holiday breaks down why those pressures weren’t the end of DTC—but the catalyst for its next evolution. Taylor introduces the “Flow Era”: a new phase where winning brands stop chasing easy growth and instead master cash flow, product-led expansion, operational discipline, and constraint-driven creativity. Drawing on real data, industry trends, and the Born Primitive case study, he explains how the best operators are shifting from ROAS obsession to free cash flow as the true scoreboard. This talk covers: Why “easy” DTC is over—and why that’s a good thing How capital constraints are reshaping growth strategies The shift from revenue → EBITDA → free cash flow Why better ads won’t save commodity products How storytelling, category expansion, and constraints unlock durable growth Practical lessons for operators navigating rising CAC, tariffs, and inventory risk If you’re an operator, founder, or marketer trying to build a business that actually funds itself, this presentation lays out the mindset and mechanics required to win in the next era of DTC. Show Notes: Head to https://www.dash.fi/ https://calendly.com/d/ct8f-w59-824/dashfi-x-common-thread-collective-introExplore the PROPHIT System: http://prophitsystem.com podcast@commonthreadco.com

In this episode of the Podcast, we break down the three things brands must get right to win in 2026—based on real performance data, post-BFCM learnings, and what top-performing brands are already doing differently. Richard is joined by Luke to unpack the foundational shifts shaping the next era of ecommerce growth. As rising costs, tighter margins, and increased competition redefine the landscape, winning brands aren’t doing more—they’re doing the right things better. We cover: Why system integration is now essential for faster, clearer decision-making How creative consolidation (especially UGC-led formats) is driving scalable performance When and how distribution expansion actually works—across platforms, products, and retail channels The role of predictability, single-source-of-truth measurement, and profit-first thinking in 2026 Why brands that lack operational clarity will struggle to keep up this year This episode is a practical playbook for founders, CMOs, and operators looking to move faster, eliminate guesswork, and build durable growth systems heading into 2026. Show Notes: TaxCloud has you covered: https://taxcloud.com/thread/ Explore the PROPHIT System: http://prophitsystem.com podcast@commonthreadco.com