Hi [FULL_NAME GOES HERE],

ZERO.

That was the number I wrote on the whiteboard.

A month into my new role as Director of Growth,

I stood in front of our five-person company,

grabbed a marker…

and said:

“We need to shut off all ad spend.”

Not cut.

Not reduce.

Zero. Cold turkey.

It was one of the most emotionally difficult decisions I’ve ever made.

Because let’s be real:

I wasn’t just pausing ad spend.

I was shutting down my own function.

I was saying:

No spin. No excuses.

My own work was going to zero.

And I was the one recommending it.

There’s no spreadsheet that tells you how to do that.

But the data was very clear.

Strong monetization.

Terrible retention.

Spending more wasn’t going to fix that.

In fact, it was making it worse.

So we stopped.

Fully.

No spend.

No band-aids.

No campaigns.

We turned inward.

Rebuilt onboarding.

Reworked the early user flow.

Focused everything on making the users stay.

And when it clicked?

Everything changed.

From $0/month…

→ $10k → $100k → $300k → $600k → $1mm → $1.5 million per month

Sustainably. Profitably. Because this time, the foundation held.

...followed by an acquisition by a public company.

That whiteboard moment felt like failure.

It felt like risk.

Like I might be betting my role.

I might be betting the company.

But it turned out to be the unlock.

Here’s what I learned:

Scaling isn’t about pushing harder.

It’s about pushing when you’re ready.

And most teams?

They don’t want to pause.

They want to optimize their way out of problems that aren’t media problems.

if your LTV isn’t there…

scaling just breaks you faster.

If you’re spending $50k+/month and growth feels stuck…

don’t look at just your ads.

Look at your foundation.

And if you want a team that knows when to scale….

and when to stop….

hit reply with “SCALE” - and we’ll chat.

We’ve been there.

We’ve made the hard calls.

And we know what real growth takes.

Later,

Shamanth

P.P.S. From the lab:

🛎 We charge $49 for our 102-page ultimate guide to Meta ads with AI image models. Today I’m giving it away for FREE (and refunding all buyers). Here’s why...​

📊 Your ROAS report might be lying to you: and it might be worse than you think.​

🚀 Everyone wants to scale. But almost nobody builds the system to survive scaling.​

✅ Before you even 𝑡ℎ𝑖𝑛𝑘 about channel diversification, you better be doing this boring thing first.​

🚝 Performance marketers 𝑘𝑛𝑜𝑤 how critical a hook is… but what isn’t obvious?​

👌 Promova has a ~97.3% of market share by ads launched by language apps(and ~$6mm in annual revenue). Here’s what I learned from analyzing 120 of their videos.​

📣 Most AI ads look like AI… The best ones feel like real humans. I’ll show you the 4 levers that make the difference.​

​📢 ​Ever spent hours prompting AI… only to realize none of your images actually convert?​

🔕 Most AI ad images fail — and it’s not because of bad design. It’s because they lack emotional texture. Here’s how to fix it.​
​
💰 Opal(screen time control app) is making ~$400k/month. I ran advanced semantic analyses of 70 video ads—here’s what I learned.​

💡Building ads for algorithms is a bad idea. Here’s what we learned after analyzing 100,000+ of them.​

🤦‍♂️ Most remote teams aren't broken. They're just communicating like it's 2013.​

🎯 𝗕𝗲𝘁𝘁𝗲𝗿𝗠𝗲 is a top 20 health & fitness app running 100s of ads. I ran a semantic analysis of 71 of their video ads – here’s what I found.​

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