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🚀 This Week's Growth Hack 🚀
The Brands Scaling Fastest Aren’t More Creative
Last month I was on a call with a founder spending roughly $250k/month on Meta ads and he said something that perfectly summed up paid social right now:
“Max, we don’t have a targeting problem anymore. We have a creative bottleneck that we can’t seem to find a good process for.”
He was right, because today, Meta and TikTok basically handle the targeting for everyone… Which means the brands winning right now are not the brands with the best media buyers.
The winning brands are those that can test the most creative ideas the fastest. Speed is the moat. And most teams are still operating like this:
Step 1: brainstorm from scratch
Step 2: make a brief
Step 3: wait on design
Step 4: launch 3 ads
Step 5: pray (if you’re into that) and cross your fingers
3 weeks later they finally figure out one tiny thing about what worked. That’s not a growth system. That’s a traffic jam.
The smartest performance teams I know are moving to an “agentic creative loop” instead:
Competitor research → creative generation → testing → iteration → repeat
The result? One full learning cycle per week instead of one per month. That’s the real competitive advantage.
So, this weeks growth hack is the 3-step framework I’ve designed with Superscale:
Step 1: Start With Competitive Intelligence
Most marketers start with a blank Google Doc. Huge mistake.
Your competitors are already testing hooks, offers, and creatives for you every single day.
Go study:
• Which ads have been running the longest
• Which hooks keep repeating
• Which formats dominate your niche
• Which offers clearly have budget behind them
Longevity is usually a performance signal.
If a brand has been running the same ad for 4 months, there’s a VERY high chance it’s profitable.
This is where tools like Superscale become interesting.
Instead of manually digging through Meta and TikTok Ad Libraries for hours, it automates the research layer by pulling competitor patterns and organizing the insights in minutes.
But the important part isn’t the tool. It’s the workflow shift:
Validated market signals first. Creative production second.
Step 2: Let Performance Data Brief Your Next Ads
Most brands completely fail here.
They run ads…
…but never properly feed the learnings back into the next creative batch.
Your best-performing ads are literally telling you what your audience wants. Pay attention to:
Highest CTR ads
Best ROAS messaging
Strongest hooks
Winning visual styles
Best-performing audience angles
Then build variations based on those learnings. Here are some of the smartest prompts I’ve seen:
“Act like a performance creative director and reverse engineer why my top ads worked. Use those learnings to generate fresh concepts optimized for Meta and TikTok while preserving the highest-performing core elements.”
“Break down my best-performing creatives by hook retention, watch time, conversion rate, and audience segment. Then build a structured testing roadmap with new variations for headlines, CTAs, creator styles, and emotional triggers.”
THAT is how modern creative teams should operate.
Not random guessing. Not “make the logo bigger.” This is how your creative iteration is powered by actual performance data.
That’s also what separates agentic workflows from generic AI tools. Superscale connects directly to your ad account data so the outputs are informed by real performance patterns, not random creative guesses.
Step 3: Test in Volume, Kill Fast, Double Down Faster
This is the unlock. Volume.
Most brands don’t lose because they make bad ads. They lose because they don’t test enough.
The best teams I know are ruthless:
Launch 20+ variants.
Kill losers fast.
Iterate winners aggressively.
Because one winning ad can outperform 19 losers combined. The brands scaling hardest right now aren’t necessarily more creative… They just learn faster.
And agentic workflows massively increase learning velocity because they compress:
Idea → production → launch → feedback → iteration
Superscale knows that’s the whole game now.
Bonus Tip: Build a “Context File”
The smartest AI marketing teams I know all do this. Build a living document with:
• Brand voice
• Winning hooks
• Audience segments
• Top-performing CTAs
• Customer pain points
• Historical winners & losers
Then feed that into every future prompt. 30 minutes upfront can cut revision time in half later.
Your Action Items This Week
Audit your creative production speed: How long does it take your team to go from idea → live ad? If the answer is “days,” you’ve found the bottleneck?
Run a competitor scan before your next creative sprint: Stop starting from scratch. The market has already shown you what’s working.
Commit to testing 20+ creative variants in your next cycle: If your current workflow can’t support that level of volume, it’s time to rethink the system.
Because the future of paid social is no longer:
“Who can make the prettiest ad?”
It’s:
“Who can learn the fastest?”
Luckily, I found Superscale to drastically improve this process for my team, and our partners. Check out what the buzz is about for free, and send me your favorite ad iterations!
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That’s it for this week!
Thanks for being a part of my journey :)
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