DTC Podcast

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Kurt Elster is back to talk about what Shopify brands should actually be doing right now as AI starts influencing search, product discovery, and ecommerce workflows.

For Shopify operators, DTC founders, and ecommerce marketers trying to stay ahead of rising CAC and AI-driven product discovery.

This episode covers the stuff that’s easy to ignore until it’s suddenly important: Shopify category fields, structured data, AI referrals, TikTok Shop growth, and how vibe coding is already changing the SaaS and app ecosystem.

We get into:
Why Shopify category fields and category metafields matter more than most merchants realize
What ChatGPT referral traffic looks like today
How structured data can help brands show up in answer engines
Why TikTok Shop is becoming a real growth channel for some brands
What AI means for app sprawl, custom builds, and leaner ecommerce teams
Kurt’s thinking on free gift with purchase and the app he built, Promo Party Pro

Timestamps:
00:00 Ads Feel Broken Right Now (Here’s Why)
01:17 The Shopify Feature Everyone Ignored
02:14 This Powers AI Shopping (No One Realized)
05:08 Why In-App Checkout Keeps Failing
07:05 The Easiest Growth Lever You’re Missing
09:28 SEO Is Dead. This Replaces It
12:22 How AI Chooses Which Products Win
16:15 The AI Mistake Breaking Your Builds
26:01 Why CAC Keeps Getting Worse
28:22 The Real TikTok Shop Playbook

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Duncan Ferguson, Strategy Lead at Pilothouse, breaks down why so many DTC brands are stuck in the tactical spin cycle, always testing, tweaking, and “optimizing” without a clear answer for where growth will actually come from. This episode gets into the difference between platform-centric marketing and a real growth system built around the customer journey, message sequencing, and repeatable creative.

For DTC founders, CMOs, and heads of growth who are tired of channel optimization masquerading as strategy.

In this episode, we get into:
The simplest question that exposes whether your brand has a strategy or just a pile of channel tasks
Why Meta, Google, email, and landing pages should work as a coordinated customer journey, not separate departments
How to identify the 3 to 5 messages a customer needs to hear before they buy
Why brands should stop doing light work on 300 ads and start doing real work on 5 to 10
How a creative system makes scaling new channels, collections, and audiences way more repeatable

Who this is for:
DTC founders, ecommerce CMOs, retention leads, media buyers, and creative strategists trying to scale past the easy wins.

What to steal:
Ask your team: “Where will growth come from this year?” If nobody can answer it cleanly, you’ve got a strategy problem.
Build creative around customer journey stages, not around whatever ad format the team feels like making this week.
Create a 5-message creative system you can reuse across channels, audiences, and product lines.

Timestamps:
0:00 Why growth hacks stop working
2:00 What a real brand growth system is
4:00 Building customer journeys and message maps
6:00 Inspiration not iteration in creative
8:00 Finding objections that block purchase
10:00 How channels work together in the journey
12:00 Why most brands are stuck in the tactical spin cycle
14:00 The question every founder should ask
16:00 Customer-centric vs platform-centric growth
18:00 Why optimization alone is limited
20:00 How to find the right growth opportunity
24:00 What a creative system actually looks like
26:00 The five-message framework for conversion

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Ginny Lo is the co-founder of Odd Pieces, a story-driven puzzle brand that took a tired category and made it feel fresh again. Instead of selling just another image-in-a-box, Odd Pieces built puzzles with narrative, hidden clues, comic-style storytelling, and reveal mechanics that make customers want the next one as soon as they finish the first.

For DTC founders building an original physical product with limited capital, this episode is a real look at category creation, Kickstarter validation, and early repeat purchase.

In this conversation, Ginny breaks down how Odd Pieces started in a 400-square-foot apartment, why they skipped the big research deck and built from instinct, how they launched on Kickstarter with less than $10K, and what they’ve learned from scaling across DTC, Amazon, Barnes & Noble, and repeat Kickstarter launches.

You’ll hear about:
How a cheap COVID date night turned into a new product category
Why the first Odd Pieces prototype took 8+ months to get right
What actually makes Kickstarter work, and what agencies can’t do for you
How the first campaign hit $500K and nearly 10,000 backers
Why product design, not just marketing, is doing the heavy lifting on retention

Who this is for:
DTC founders, consumer product operators, Kickstarter creators, and marketers trying to build something people actually come back for.

What to steal:
Build surprise and progression into the product itself so repeat purchase feels natural
Use playtesting to watch customer behavior, not just collect polite feedback
Treat Kickstarter as a distinct channel with its own customer psychology, creative, and conversion strategy

Timestamps:
00:00 Odd Pieces intro
02:02 Why they started Odd Pieces
04:14 Turning puzzles into story experiences
06:58 Building without formal market research
09:00 Making the first prototype
11:23 Working with artists and storyboards
15:08 Launch costs and early funding
18:06 Pricing and repeat customers
23:12 Tony Yu’s role in the business
27:22 How Kickstarter really works
31:00 First launch results and lessons
35:17 Kickstarter creatives that convert
38:24 The controversy that drove traffic
43:17 Shopify, Amazon and retail growth
47:14 Who they would hire next

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Aves and Daniel Sendecki get into a problem a lot of brands still haven’t solved: how do you make ads feel culturally relevant without making them cringe, tone deaf, or useless in performance channels? This episode breaks down why “brand voice” alone no longer carries paid social, how algorithmic feeds reward relevance over cleverness, and why the best creative now has to do two jobs at once: feel native and resolve intent.

For DTC founders, growth marketers, and creative strategists trying to make Meta and TikTok ads feel native without losing conversion intent.

In this episode, we cover:
Why brand voice was built for an older distribution model, and why that model doesn’t dominate anymore
How to “cooperate with culture” instead of awkwardly borrowing it
Why great paid social creative now needs both cultural cues and problem-solution clarity
How generational context shapes what kind of humor, references, and framing actually land
What Super Bowl ads, street interviews, and creator-style content reveal about where attention is moving

Who this is for:
DTC operators, paid social teams, creative strategists, and founders who want better-performing ads without sounding like every other brand online.

What to steal:
Build ads that use native visual language from the feed, not polished brand-world aesthetics
Use cultural references as permission to speak, not as the entire message
Match creative tone to the audience’s deeper context, not just surface-level trends

Timestamps:
00:00 Cultural elements in ads that actually work
02:00 Cooperating with culture vs co-opting culture
04:01 Why brand voice works differently now
06:04 Generational marketing and millennial humor
08:58 Relevance, intent, and permission to speak
11:07 Why ads need to feel native and authentic
13:14 Ad examples that build cultural relevance
17:18 Creative systems and authentic brand messaging
19:02 McDonald’s, Burger King, and authenticity in ads
23:03 Why Super Bowl ads missed the mark
27:08 Where the best ads are happening now

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We co-authored The Conversational Report with Postscript to understand one simple question: when shoppers text brands back, what happens next? The punchline is uncomfortable. Customers treat texting like a real conversation, but most brands treat replies like a support inbox, or ignore them entirely. That gap is where a lot of abandoned carts live.

Role-based hook: For DTC founders and operators scaling past $1M who want SMS to do more than broadcast promos, and want replies to turn into revenue plus better creative and PDPs.

Mike Manheimer from Postscript joins to break down what the data says, why brands struggle operationally, and how AI changes the economics of responding quickly.

What we get into:
Why brands misread replies as “support,” and why that kills revenue
The consumer expectation gap, plus why 26% real time reply rate is a gift for anyone who executes
The easiest way to start: add one question to your welcome flow and watch what comes back
Turning reply data into a weekly insight loop for PDP, creative angles, and offer clarity
What a real playbook looks like beyond “send more promos”

Who this is for: Retention, growth, CX, and founders who know SMS works, but feel like it has not matured into what it should be.

What to steal:
The “question mark” strategy for welcome and abandoned cart flows
A reply triage model that does not require headcount explosions
A simple way to turn conversations into segments you can act on

Postscript
Mike
Report

Timestamps
00:00 Why brands are wasting SMS potential
02:00 The gap between brand assumptions and shopper behavior
04:14 Why SMS should be treated like sales, not support
06:00 The staffing problem behind slow SMS replies
08:10 How Postscript’s conversational AI actually works
11:20 Why fast replies create a better buying experience
13:05 The LTV upside of real SMS relationships
15:10 How to write SMS flows that get real responses
18:12 The revenue and ROI from conversational SMS
21:35 Why PDPs cannot answer every shopper question
25:05 How SMS conversations create better customer insights
31:20 The best conversational SMS playbook for brands
37:45 Why one-way SMS is becoming obsolete

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