DTC Podcast

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http://coyuchi.com

Coyuchi is a premium bedding brand with a long purchase cycle and high AOV. That changes how you approach growth, attribution, and retention.

Vicki Williams-Grahan (Brand President) explains how they tested Meta’s impact by turning it off, how they think about LTV in a low-frequency category, and why product selection inside ads matters as much as creative.

For DTC operators scaling high-AOV brands with long purchase cycles who need to rethink CAC, LTV, and attribution.

In this episode:
What happened when they turned off Meta for 6 weeks
Why Google Analytics 4 underreported performance vs platform data
How segmentation (via Decile) changed acquisition
Why entry-level products lowered overall performance
How they use daily forecasting and contribution profit

Who this is for:
Operators in high-AOV categories (home, furniture, luxury, etc.)

What to steal:
Run incrementality tests (or dim market tests)
Prioritize high-LTV acquisition, not just conversion rate
Track contribution profit daily

Timestamps
00:00 Introduction and evolving customer profile
02:00 Coyuchi brand overview and DTC shift
04:30 Challenges of high AOV and long purchase cycles
07:00 Customer segmentation and tools like Decile
09:30 Meta ads experiment and going dark
13:00 Attribution insights and incrementality testing
15:00 Daily forecasting and contribution profit focus
17:30 Product strategy and high LTV vs entry products
21:30 Retention storytelling and non-sales emails
25:00 Brand repositioning beyond sustainability
32:00 Bringing paid social in-house and creative speed
35:00 Using AI in marketing and creative testing
36:30 Channel testing including podcasts and CTV

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Meta changed attribution in March — and suddenly every brand’s ROAS looks worse.

Chris Richards from Pilothouse breaks down what actually happened, why performance appears to have dropped 30–45%, and how brands should respond without damaging long-term growth.

For DTC founders and operators scaling from $5M–$50M who rely on Meta as a core channel.

In this episode:
What Meta’s attribution change actually did
Why social proof no longer shows up the same way
How to interpret rising CPA and falling ROAS
Why MER is a better north star right now
The risk of over-retargeting after performance dips

Who this is for:
DTC founders, CMOs, and media buyers trying to make sense of Meta performance

What to steal:
Shift from ROAS to MER as your primary KPI
Keep funding top-of-funnel even when numbers look worse
Use consistent attribution (MTA) to guide spend decisions

Timestamps
00:00 Meta attribution change explained
02:00 Click vs engaged attribution breakdown
04:00 Impact on ROAS and CPA metrics
06:00 Social proof and ad performance insights
08:00 Why engagement optimization can backfire
10:00 Importance of multi-touch attribution tools
12:00 How campaign strategy is shifting
14:00 MER as a new performance north star
16:00 Omnichannel and ecosystem thinking
18:00 Meta automation and future attribution trends
20:00 What brands should do right now
22:00 Strategy mistakes and growth risks

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Affiliate is getting a lot more attention in DTC right now, and for good reason. In this episode, Yash Chavan, Founder and CEO of SATHI & SARAL, breaks down why the channel looks so attractive on paper, where it falls apart in practice, and what brands can do to make it perform like a real growth engine.

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We get into:
Why affiliate is attractive to operators and finance teams
How last-click attribution distorts performance data
What affiliate fraud actually looks like inside a real program
How to think about multi-touch attribution by product category
Why gamification matters if you want creators to stay active
How affiliate fits alongside Meta, TikTok, and retargeting

What to steal:
Run a fraud scan on your current affiliate program and check for leaked codes
Build commission tiers and milestone bonuses to keep strong creators engaged
Choose an attribution model based on how your product actually gets bought

If you’re a DTC marketer, founder, or growth lead trying to lower CAC, improve measurement, and build a more durable acquisition program, this episode is essential listening.

Timestamps
00:00 Affiliate marketing explained
02:00 Why affiliate is hard to scale
04:00 The problem with last-click attribution
06:00 Affiliate fraud examples and risks
09:00 Influencers shifting to affiliate models
11:00 Why reels + links change everything
13:00 How modern affiliate tracking works
16:00 Multi-touch attribution strategies
19:00 Retargeting affiliate traffic
21:00 Gamifying affiliate programs
24:00 How to start and scale affiliates
27:00 Program hygiene and key metrics
30:00 Where affiliate fits in your funnel
33:00 The future of affiliate marketing

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https://lexingtonbakes.com/

Lex Evan built Lexington Bakes after years of baking for friends who kept telling him the same thing: they didn’t usually like desserts like this, but they loved his. That turned into a bootstrapped brand built on better ingredients, frozen and refrigerated distribution, and a refusal to follow the usual packaged dessert playbook.

For CPG founders and DTC operators trying to improve conversion, CAC, and retail sell-through without watering down the product.

In this episode, Lex breaks down:
How Lexington Bakes went from a holiday presale to about 200 retail stores
Why premium products can fail when value is not obvious at first glance
How changing format, sizing, and offer structure helped bring CAC from roughly $180 down to $25 on a new-customer offer
What “radical ingredient transparency” actually looks like in packaged food
Why a product rename turned a weak SKU into one of the brand’s best retail performers

Who this is for:
DTC founders, CPG operators, grocery brands, and marketers working on pricing, offer design, retention, or retail expansion.

What to steal:
Build first-order offers around how cautious buyers actually shop
Make value obvious without forcing customers to do math
Use plain-language product naming until the brand has enough equity to get more creative

Timestamps:
00:00 From zero to shipping 500 brownies
02:30 Why Lexington Bakes started
05:00 No preservatives and cold chain strategy
07:00 Manufacturing challenges and scaling
09:30 Radical ingredient transparency explained
13:00 Product evolution and Lexington Bakes 4.0
17:00 Pricing psychology and shelf perception
21:00 Fixing DTC conversion and CAC
24:00 Intro offer strategy and LTV thinking
29:00 Retail behavior and repeat purchase patterns
34:30 Naming mistake and SKU turnaround
39:00 2026 growth strategy and manufacturing focus

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Most brands test YouTube, don’t see conversions, and shut it off.

The problem isn’t the channel. It’s how they’re measuring it.

Dougie from Pilothouse breaks down how YouTube actually drives growth for DTC brands, and why cost per brand search is one of the most useful signals to track early.

For DTC founders and growth marketers spending $50K+/month and looking for a channel beyond Meta.

What we get into:
Why conversions lag on YouTube
The 4-week window to judge early performance
How cost per brand search shows real intent
Budget levels needed to generate signal
Targeting mistakes that kill campaigns

Who this is for:
Brands hitting a ceiling on Meta and testing new acquisition channels

What to steal:
Track brand search before and after launching YouTube
Use cost per brand search to judge efficiency
Run geo tests to validate lift

Timestamps
0:00 YouTube as awareness vs conversion channel
2:00 Why DTC brands fail testing YouTube
4:00 Creative and audience readiness for YouTube
6:00 Why YouTube attribution is broken
8:00 Cost per brand search as key metric
10:00 YouTube campaign setup basics
12:00 Targeting mistakes and audience signals
14:00 Excluding existing customers properly
16:00 Setting expectations and measuring success
18:00 Budget requirements and testing timelines
20:00 Fixing struggling YouTube accounts
22:00 Low quality placements and wasted spend
24:00 Creative strategy and frequency on YouTube
26:00 The first 5 seconds rule for ads

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