Threading The Needle

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 coverWhy profit + predictability are harder than ever for DTCWhat the Prophit Engine is and the outcomes it’s built to deliverHow the Profit Engineer role collapses growth strategy, Meta buying, and creative strategy into one operatorWhat brands still own vs. what CTC takes off the plate—and who this works best forIn 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 marg

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 toolsHow declining SaaS gross margins and rising customer demands for outcomes are collapsing the line between software and servicesWhy agencies are becoming more like software companies — and software companies more like agencie

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 coverWhy incrementality requires a holdout (and why “spend up / spend down” isn’t enough)The replication problem: why results change even with “clean” testsThe gap between measurement and optimization (platforms optimize for attribution, not incrementality)How operators use incrementality factors without letting them become a blunt instrumentWhy channel vs.

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 ecommerceThe three “buckets” of brands (doing nothing, unhappy with current tools, or knowingly delaying)Why sales tax is a year-round operational loadHow modern brands approach checkout tax vs. filing/registrationThe Streamlined Sales Tax (SST) program and why 24 states matterA simple start-of-year checklist to get compliant and reduce riskIf 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.comThe Ecommerce Playbook mailbag is open — email us at podcast@commonthreadco.com to a

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 + retailEmail vs SMS strategy, plus segmentation that prevents “list blasting”Using loyalty + receipt scanning to understand in-store shoppersSetting smarter KPIs for promos, launches, and contentWhy they chose Attentive, how they handled ESP migration, and where AI actually helpsThe first retention moves: audit flows, ref

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 missingThe 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 endHow to sanity-check your “real-time” metrics against your closed

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: p

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 efficientThe Spending Power Model and how it sets real budget capsHow creative volume directly affects performance and efficiencyA practical framework for planning moment-based vs evergre

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 themHow “more insight” can actually paralyze operatorsThe limits of forecasting, incrementality, and optimization at scaleWhere human judgment still matters, and always willWhat ecommerce leaders should focus on when the data stops agreeingThis 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/4ag8oEJExplore the PROPHIT System: http://prophitsystem.comThe Ecommerce Playbook mailbag is open — email us at podcast@commonthreadco.com to

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 commerceHow Shopify’s agentic checkout connects AI directly to your catalogWhat this means for SEO, paid media, and brand discoveryWhy reviews, social proof, and product structure matter more than everHow platforms like Meta are making everything shoppableWhat marketers should be paying attention to right now to stay aheadThis episode isn’t about hype—it’s abo

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 volumeWhy scaling spend without a creative forecast breaks efficiencyThe Creative Demand Model and creative scoring frameworkHow evergreen creative stabilizes performanceHow persona-driven ads and AI accelerate creative executionOperationalizing creative across internal teams and external vendorsUsing creative forecasts to plan 12 months ahead — not react week to weekIf your team is stuck in reactive creative cycles or struggling to scale efficiently, this episode shows how for

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 ownershipHow accountability turns forecasts into daily actionThe operating rhythm behind predictable, repeatable growthWhy most growth systems break in the real worldHow clarity, capacity, and accountability work together to scaleIf 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/demoExplore the PROPH

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 opinionsHow to tie creative output directly to financial forecasts and media spendWhat a “creative demand plan” looks like in practiceWhy volume, velocity, and systems beat “great ads” every timeHow the role of creative strategist is collapsing into growth and profit engineeringThis 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

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 YouTubeWhat we’ve learned from real spend, real revenue, and real testsCampaign structure, bidding strategies, and when to consolidate vs segmentCreative formats that are working best inside mobile game environmentsWhy AppLovin is emerging as a legitimate “third platform” in the paid media stackWhat Black Frida

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 okayHow MMM and incrementality work together (not against each other)The hidden cost of chasing attribution precisionHow to prioritize incrementality tests that actually move revenueWhy shared metrics matter more than “correct” onesWhat better measurement unlocks for upper-funnel and channel expansion in 2026

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 thingHow capital constraints are reshaping growth strategiesThe shift from revenue → EBITDA → free cash flowWhy better ads won’t save commodity productsHow storytelling, category expansion, and constraints unlock durable growthPractical lessons fo

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-makingHow creative consolidation (especially UGC-led formats) is driving scalable performanceWhen and how distribution expansion actually works—across platforms, products, and retail channelsThe role of predictability, single-source-of-truth measurement, and profit-first thinking in 2026Why brands that lack operational clarity will struggle to keep up this yearThis episode is a practical playbook for founders, CMOs, and operators looking to move faster, eliminate guesswo

2026 won’t be an evolution of commerce—it will be a reset.In this episode, Taylor and Richard unpack 26 predictions that will reshape commerce in 2026, exploring how AI becomes the foundational layer for shopping, work, creative, media buying, and decision-making itself.This isn’t about tools or tactics. It’s about what happens when machines stop assisting humans—and start replacing human judgment entirely.You’ll hear why:AI isn’t driving traffic to stores—it is the storeCreative strategy, brand standards, and human bias are becoming liabilitiesAutopilot decision systems will outperform human-led teamsMedia buying, inventory, pricing, and PDPs won’t need approval anymoreCommerce is collapsing into a single, intelligent, universal feedIf you’re still planning 2026 with last year’s assumptions, this conversation will challenge everything—from how much content you should produce to whether your website even matters.This episode isn’t prediction-as-content.It’s a warning—and a roadmap.Show Notes:Read the 26 Predi

Meta’s Andromeda algorithm didn’t just tweak performance it rewired how ads are delivered, scaled, and rewarded.In this episode of the Podcast, we break down insights from 53,000 ads, 147 brands, and $14.5M in BFCM spend to show how Meta now evaluates creative, bidding strategies, and content formats in a post-auction, AI-driven system.You’ll learn:Why creative volume exploded — and why it’s now required to scaleHow different bid strategies attract fundamentally different customersWhy video absorbs spend more efficiently than static adsWhat makes UGC ads more likely to become high-spend winnersHow promo vs evergreen ads actually perform under AndromedaThis isn’t theory or platform guidance — it’s real performance data from Cyber Five, unpacked to help brands understand what Meta rewards now and how to adapt heading into 2026.If you’re scaling paid media and trying to keep up with Meta’s shift from auctions to content delivery, this episode breaks down what changed — and what to do next.Show Notes:TaxCloud has