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Good morning!
In today’s newsletter,
How Flowium doubled email revenue in 90 days for a $1–10M ecommerce brand
How Blissy sells a pillowcase every 30 seconds
What’s the biggest challenge in your business right now?
How an audience-first launch turned into a seven-figure brand
Block 125+ coupon extensions before they drain your margins
AI Launch Codes: How I went from 75% to 91% success rate in 8 weeks (and you can test this in 7 days)
This issue takes 3 minutes to read.
Check out our DTC tool stack here
Let’s dive into it👇
Pssst…by upgrading to AI Launch Codes, you can unlock $195 worth of Magicals for free
Email Revenue
How Flowium doubled email revenue in 90 days for a $1–10M ecommerce brand
If you’re already getting traffic and sales but your emails aren’t driving much revenue, this case study is for you.
This sporting goods brand had no trouble bringing customers in.
The real issue was what happened after the first purchase.
Follow-up emails weren’t doing enough to bring customers back, which meant a lot of potential revenue was quietly slipping away.
In just 3 months, Flowium rebuilt the email ecosystem and delivered:
102.3% growth in email-attributed revenue
150.7% increase in returning customer revenue
164.8% increase in campaign revenue
Inside, you’ll learn how to:
Identify and fix the post-purchase gaps that were killing repeat revenue
Restructure win-back and repeat flows so customers actually come back
Test campaigns and automations in ways that compound revenue over time
Scale email volume without hurting deliverability or list health
Turn email into a predictable channel instead of a guessing game
Conversion Lab
How Blissy sells a pillowcase every 30 seconds
Blissy doesn't sell better sleep.
They sell better hair, better skin, a travel essential, and the perfect gift.
And they’ve managed to scale to 492K monthly visits (+46% growth) with the same landing page running across 100+ active ads.
What’s working:
Strong social proof appears immediately, reducing hesitation.
The listicle format builds belief before presenting the offer.
The product is attached to broader benefits beyond its core function.
Urgency: Since pillowcases aren't something people feel urgent to buy, offering a strong discount at the end with a timer helps push people to buy now.
What you can apply to your store today:
1. Pick one outcome outside your product’s core function
Blissy does not lead with silk or comfort. They lead with outcomes like hair and skin benefits, gifting, and travel.
2. Rewrite your headline to sell that outcome first
3. Add a few sections that support the outcome from different angles
Use social proof, comparisons, authority signals, and use cases like travel and gifting.
This makes the benefit feel real and widely validated rather than theoretical.
Credit: Nick Theriot
Ask An Expert
What’s the biggest challenge in your business right now?
Let us know by simply replying to this email, and we’ll have an expert reach out to you and answer that, and you can also expect to receive some helpful resources!
Pod Bites
How an audience-first launch turned into a seven-figure brand
Most founders build the product first, then scramble for traffic and growth. Seth did the opposite.
Years before launching Wellness, he had already built a large health and wellness audience.
When people kept asking him to sell what he was teaching, he knew demand existed before the product ever did.
By the time Wellness launched, customers were not being persuaded.
They were already waiting.
That approach turned into a seven-figure brand growing around 30% year over year.
In this episode, Seth explains how he turned attention into demand before launch and scaled without relying on ads.
Build the audience before the product and let demand pull the launch forward.
Use anticipation and education to warm buyers instead of rushing to sell.
Launch when people are already asking to buy, not when you feel ready.
Choose profitable growth over chasing every new tactic.
Cut what looks good on paper but quietly burns cash.
If you are stuck between traction and real profitability, this episode will change how you think about growth.
Block 125+ Coupon Extensions Instantly
Stop coupon extensions before they even touch your checkout. KeepCart blocks 125+ plugins like Honey, CapitalOne Shopping, and Karma from auto-applying random codes and draining your margins.
Brands like Quince and Newton use KeepCart to protect revenue and keep every sale clean.
After months of using KeepCart, Mando says “It’s paid for itself multiple times over.”
How I went from 75% to 91% success rate in 8 weeks (and you can test this in 7 days)
Over the last couple of weeks, we did a series on training and hiring AI Employees.
In this series, we built 5 different employees: Creative Intelligence, Writer, CRO Specialist, Operations Specialist, Analyst, and Finance.
In our organization, for every task we use AI for now, it's through an AI employee. Rarely do we open a new chat window.
And we saw a massive improvement in performance and quality of output.
We noticed on average a 50% reduction in the time we spend fixing outputs.
Then we hit a ceiling.
Week 1: 75% success rate
Week 4: 75% success rate
Here's what I expected:
The more I used it, the better it would get. Like a real employee learning on the job.
But that's not how it works.
Using it more doesn't make it better. Training it does.
The problem:
I hadn’t built a a system of continuous training and improving.
Real employees learn from feedback. AI employees need the same.
Then I built a system:
10 minutes per week feeding outcomes.
30-day checkpoint to update what changed.
90-day review to rebuild what stagnated.
The result:
The employees produce output with a : 90% accuracy.
Not theoretical. Actual data from DTC Daily.
Every issue I write uses the Creative Intelligence employee.
Before the system:
3 out of 10 angles were usable
Heavy editing required
After the system:
9 out of 10 angles are usable
Light editing only
Here's what's different:
I track what works. I feed it back weekly. It compounds.
The system takes:
30 minutes to set up
10 minutes per week to maintain
1 hour every 90 days to review
You can test this in 7 days.
Pick one AI employee you already use. Apply the system. Track the success rate.
If it doesn't improve in 7 days, it's not working.
Inside today's edition:
The complete 90-day system:
30-minute initial setup (what to track)
10-minute weekly update (feedback template)
90-day progression (specific milestones)
Quarterly review process (when to rebuild vs iterate)
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