Advertise to 40,118 E-Commerce Businesses
Promote your tool, service or upcoming event - Reach Founders
Good morning!
In today’s newsletter,
Scale your IRL campaigns like digital ads
How many ads should you actually be running?
A free newsletter with the marketing ideas you need
AI Launch Codes: 48 Emails. 2 Minutes. Here's How.
This issue takes 2 minutes to read.
Check out our DTC tool stack here
Let’s dive into it👇
Scale Your IRL Campaigns Like Digital Ads
Out Of Home advertising has long been effective but hard to scale—until now. AdQuick makes it simple to plan, deploy, and measure campaigns with the same efficiency and insight you expect from online marketing tools.
Marketers agree: OOH is powerful for brand growth, driving new customers, and reinforcing messaging. AdQuick makes it easy, intuitive, and data-driven—so you can treat real-world campaigns like any other digital channel.
Campaign Command Centre
How many ads should you actually be running?
Ask five experts. Get five different answers.
CT the Disrupter says 5 ads. That's it. His "Olympic Rings" framework scaled one account from $800/week to $8,000/week by cutting from 86 ads down to 4. (YouTube)
Meta officially recommends 20 new creatives per week. Not 20 total. 20 new. Every week.
Jon Loomer says 10 to 50 ads per ad set. He pointed out that Meta quietly removed their old "no more than 6 ads per ad set" recommendation back in February. It's gone. (jonloomer.com)
Foxwell Digital says the number matters less than the concentration. If one or two ads eat more than 70% of your spend, "you have a dependency, not a scaling strategy." Their team loads in new creatives every 3-4 days. (foxwelldigital.com)
And then there's Olly Hudson, who attended a Meta workshop and dropped this: Meta now treats two ads as "identical" if they share similar first 3 seconds. Even if the copy, message, or CTA is completely different. So your 10 "variations" might actually be 2 ads in Meta's eyes. (tweet)
So who's right?
All of them. None of them. It depends on your spend level.
Here's what we found after cross-referencing all of these claims against what thousands of real advertisers are reporting:
If you're spending under $3K/month: You don't need 20 new creatives a week. You need 4-6 genuinely different ads. Different hooks. Different formats. Different people. Don't make 5 versions of the same UGC video with different intros. That's one ad to Meta's algorithm.
$3K-$10K/month: This is where 10-15 distinct creatives starts making sense. The key word is distinct. A static image, a UGC testimonial, a product demo, a founder story, a meme-style native post. Each one targets a different motivation to buy.
$10K+/month: Now you need the volume machine. 20+ creatives in rotation. New batches every week. But even here, practitioners report that loading 50 similar variations actually hurts performance. One agency founder said: "When we run micro-variants, they compete for the same impression pool rather than expanding reach."
The actionable summary:
Count your truly different ads. Open your ad set. If the first 3 seconds of two ads look similar, Meta treats them as one ad. You probably have fewer real ads than you think.
Match your creative count to your budget. Under $3K/month: 4-6 distinct ads. $3K-$10K: 10-15. $10K+: 20+. If you're short, prioritize different formats (static, UGC, demo, founder) over variations of the same format.
Check your spend concentration. In Ads Manager, sort by amount spent. If one ad is eating 70%+ of your budget, you don't have a scaling strategy. You have a single point of failure. Add a genuinely different creative this week.
This is one topic out of dozens where the "right" answer depends entirely on context that nobody gives you.
We spent weeks going through 1,700+ minutes of expert video, 58 Reddit threads, 4,300+ comments, and 9 Meta engineering documents to sort signal from noise on every major Meta ads decision.
Introducing: The Andromeda Playbook
A complete guide on How to Run Profitable Meta Ads in 2026
Every recommendation is budget-tiered. What works at $100/day. What works at $1,000/day. What works at $10,000/day. Specifically.
Inside the playbook:
Why Meta's algorithm might be showing your ads to the wrong people on purpose, and the exact fix at every budget level
Where the top experts agree (campaign consolidation, creative diversity, patience) and the specific settings to use
Where they violently disagree (CBO vs ABO, broad vs interests, cost caps vs highest volume) and which side is right FOR YOUR SPEND LEVEL
What real practitioners spending real money are reporting that contradicts the experts, and why
The budget-to-creative ratio that tells you exactly how many ads to run at your daily spend
A 20-point audit you can run every Monday in 15 minutes
The bottleneck diagnostic that tells you whether your problem is your ad, your landing page, your offer, or your economics
Pre-order price: $17 (only for the first 50 people who buy today. The price goes up from here.)
The playbook will be emailed directly to your inbox on Monday, March 23rd.
Pre-order today and you also get:
Economics calculator (know your break-even before you spend a dollar on ads)
Performance tracking dashboard
20-point audit checklist
Swipe file of best performing ads from top brands
AI brainstorm prompts to generate ad angles in minutes
Full money-back guarantee. If you don't find value in the playbook, we'll refund you. No questions.
Pssst…by upgrading to AI Launch Codes, you can unlock $195 worth of Magicals for free
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.
The best marketing ideas come from marketers who live it. That’s what The Marketing Millennials delivers: real insights, fresh takes, and no fluff. Written by Daniel Murray, a marketer who knows what works, this newsletter cuts through the noise so you can stop guessing and start winning. Subscribe and level up your marketing game.

48 Emails. 2 Minutes. Here's How.
Every week, around 25–30% of the people who fill out our newsletter survey don't include a company website. Without it, I can't give useful recommendations. So I send each of them a short follow-up email asking to share their website.
Going through the list manually and sending those emails one by one used to take me an hour. 60 emails at roughly a minute each.
Now Claude Cowork does it in 2 minutes.
Here's the setup:
Two connectors: Gmail (where I send the emails) and Supabase (where all survey responses are stored).
One skill: It teaches Claude exactly how to find responses without a website, how to write the follow-up email, and how to create a Gmail draft for each one.
Claude finds the email formats I already use. Pulls responses from Supabase. Creates Gmail drafts.
All I do is come in and hit send.
An hour of work. Done in 2 minutes.
P.S. In the first issue, I mentioned that you need the Claude Max plan to access Claude Cowork. That was a mistake.
Claude Cowork is accessible even on the $20 plan.
Get A Daily Scorecard Of Your Business
Most ecommerce founders start their morning checking three or four dashboards.
Shopify, Meta Ads Manager, Google Ads and piecing together a picture of how yesterday went.
This simple automation will save you 20-30 mins every morning.
First, it will give you a complete overview of what happened yesterday.

It will then compare the data to the previous day and flag what went wrong

That's the whole morning check done in 30 seconds. The prompt is below — copy it, paste it into a Claude Cowork.
This post is for paid subscribers
We built AI Launch Codes to help you scale smarter. We test AI tools, build workflows, and write prompts—so you don’t have to. But testing takes time, money, and effort. This paid upgrade helps us keep experimenting, while you get the winning playbooks delivered straight to your inbox.
UpgradeWhy You’ll Want It:
- Use AI to scale faster, cut costs, and boost efficiency
- Ready to use workflows, automations and prompts
- Real world use cases, no theory



