DTC Podcast

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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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Dr. Kathrin Hamm (PhD Economics) didn’t set out to be a founder. She just wanted to sleep. One ugly “medical” weighted blanket fixed her insomnia… then made her realize the whole category was stuck in 30-year-old design, plastic beads, and overheating. So she rebuilt it from scratch with a chunky-knit, breathable form factor that looks like home decor, not a pharmacy product.

Role-based hook: For DTC founders building a new category (or trying to escape the “Meta-only” trap) and scaling from early traction into real distribution.

In this episode we get tactical on:
Why Bearaby launched on Kickstarter to bypass “what even is this?” cold traffic friction
How the product design (breathable chunky knit) became the marketing
The early growth engine: gifting + press + interior design circles, before paid
A surprisingly underrated channel: TV/Netflix set placements as free cultural reach
What changed on Meta: why creative strategists + creative diversity is now non-negotiable
Europe expansion lessons: language, sleep habits, visuals, and humor are not transferable

Who this is for: founders + marketers selling anything that requires education (sleep, wellness, new formats, “never seen this before” products).

What to steal:
Launch new categories where early adopters already are (Kickstarter) so you can teach before you sell
Build an earned pipeline (editors, designers, set decorators) that compounds for years
Treat each country like its own market: copy, visuals, and cultural jokes included

Timestamps
00:00 Bearaby origin story
02:08 Discovering weighted blankets for sleep
04:18 Why old weighted blankets failed
08:05 Selling out the first 800 blankets
10:10 Turning weighted blankets into a lifestyle brand
14:20 Why Kickstarter and gifting worked
18:15 Getting Bearaby onto Netflix sets
20:45 Scaling through DTC, Amazon and retail
24:45 Expanding Bearaby into Europe
29:05 Germany launch and viral egg hats
32:20 How Meta creative changed
34:35 Dealing with copycats
37:35 New product innovation beyond blankets
42:00 Where Bearaby is headed

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Jacob (Head of Meta at Pilothouse) joins Eric to break down what Meta’s actually rolling out right now, what’s hype, and what’s worth testing. They get into CASC (combined awareness + sales), Meta’s new AI “business assistant,” and a super practical creative testing feature that can even help you split-test landing pages without nuking social proof.

For DTC founders + performance marketers scaling spend who need creative variety and cleaner measurement in Meta.

In this episode, you’ll learn:
Why most accounts are trending video-heavy (think ~70/30 video/static), and where statics still make sense (hint: retargeting).
What CASC is trying to solve (awareness + sales in one campaign) and who’s most likely to get access first.
How Meta’s AI assistant can speed up reporting… and why you still need to fact-check it.
How to use Meta’s ad-level creative testing to quickly find winning hooks (and kill losers fast).
A sneaky use case: split-test URLs (homepage vs PDP vs collection vs presell) using the same ad.

Who this is for:
Operators managing Meta at $50K+/mo who are feeling the “Andromeda” shift and need more creative throughput without turning the account into spaghetti.

What to steal:
Run 5-hook tests on one hero concept before you film 10 more “new” creatives.
Use ad-level creative testing to test landing pages while keeping comments/likes intact.
Treat AI insights as a junior analyst: fast drafts, then human verification.

Timestamps:
00:00 CASC explained and why Meta is combining awareness with sales
02:05 Why consolidation and bigger budgets matter more in the Andromeda era
04:05 Who CASC is for and when it makes sense to test
05:10 Creative strategy for upper funnel: intent buckets and first 2 seconds
08:05 Meta AI Business Assistant: what it can answer inside Ads Manager
11:25 Creative Testing at the ad level: how the new feature works
13:55 Using Creative Testing to split test landing pages without losing social proof
16:10 Attribution changes: engaged views and Meta taking less credit
18:25 Rollout notes and how to start using these updates

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