Lufthansa Systems Hungária

As a Senior Data Scientist, I enhance statistical and ML models to elevate airline network planning. ✈️ I predict passenger numbers on specific itineraries, driving profitability and efficiency for airlines globally. 🌟 My work empowers airlines to make data-driven decisions, optimizing routes and maximizing revenue across the globe. 🚀

Senior Data Scientist

Budapest Analytics

As a Senior Data Scientist, I help businesses solve their pain points by leveraging AI and machine learning techniques. I have extensive experience working in various fields including Healthcare, Biosecurity, and E-commerce. My expertise includes building smart medical devices, developing AI models for pesticide recognition, and creating custom cohort reports to increase customer retention and profit.

Talendy.io

We help startups to find world-class developers, web, and mobile experts. My role is to find and present candidates to clients to find the best for their needs.

Co-Founder

Evertest Kft.

We created test automation solutions for regression and provide other test services like performance or UX/UI testing. My role was to create pilot solutions for prospects and keep our customers happy.

CEO, Testing Ninja

Training360

I liked to train people to software testing or development methodologies like TDD, BDD or unit testing.

Test Consultant, Trainer

Masterfield Training Center

I was a certified ISTQB trainer. Preferred to teach advanced level courses like Advanced Test Manager, Test Analyst, Technical Test Analyst.

IT Services Hungary Kft.

My role was to develop performance tests to measure the efficiency of T-Systems products.

Senior Test Engineer

Nokia Networks

My responsibilities were to write test plans, configure test environments, and create automation scripts. Here I learned the basics of software testing.

Verification Engineer

🙋🏻‍♂️ Hello and Welcome!

As a Senior Data Scientist, I enhance statistical and ML models to elevate airline network planning. My expertise in predicting passenger numbers and optimizing routes drives profitability and efficiency for airlines globally.

My journey began as a software testing professional and data scientist, managing multiple projects and high stress levels. This experience taught me that true productivity lies in focusing on what's truly important to you. I now design strategies that emphasize focus and value-driven work over mere busyness, making stress-free productivity a reality.

Let's connect and redefine productivity together.

📣 Hashtags:
#DataScience #Productivity #TimeManagement #Efficiency #WorkSmarter #MLModels #AirlineOptimization #TaskManagement #StressFreeWork #ValueDrivenWork

Árpád Tóth

Managing Partner @ Brick | Ads & Creative for 100+ DTC brands - $300m+ in sales | I write content about paid ads, performance creative & e-commerce

We scale 7 to 9-figure DTC brands using a creative-first, full-funnel approach that blends paid ads, landing pages, and performance-driven creative.

Brick isn’t a bloated agency juggling 50 clients. 

We’re a boutique team of senior strategists, creatives, and media buyers working closely with a small group of brands we genuinely believe in.

Everything we do is grounded in research, strategy, and execution. No juniors, no handoffs, no fluff.

We’ve driven over $400M in trackable revenue for some of the fastest-growing DTC brands. Our work has been featured in Entrepreneur, Social Media Examiner, and other leading publications. More importantly, 92% of the brands we work with hit all-time revenue highs in under 90 days.

If you're spending on ads but not seeing consistent growth, we can help. 

We focus on fixing the bottlenecks that are holding your brand back—whether it's creative fatigue, poor landing page performance, or inefficient account structure.

Message me “GROWTH” or check the link in my featured section to see how we work.

Toby W.

Most brands have at least 1 of these 3 creative bottlenecks that stop them from scaling their meta ads:

1️⃣ Not knowing what to test next
2️⃣ Not knowing how to test it
3️⃣ Not knowing how to turn test results into new winning creatives

I put together The Ultimate Creative Guide to fix all 3.

This guide breaks down the entire creative testing process - from generating data-backed ideas to structuring tests effectively and analyzing results to create high-performing ads.

By the end, you’ll have a proven framework for consistently producing top-tier ad creatives that drive conversions.

Want the guide?

1. Like this post
2. Comment ‘CREATIVE’ and I’ll DM it.

{Must be connected}.

Toby Waller

I help eCom brands scale past $25M/yr with Ads + Retention. $450M+ in revenue | Moto, Leica, Kodak, Drake + 200+ more.

Scaling META to $1M+ per month requires precision, not guesswork.

After deploying 9-figures in ad spend, I’ve built a Meta Scaling Blueprint

It covers:

📌 How to scale without spiking CPAs
📌 The best budget adjustment method
📌 Key metrics to track

Want it? 
 
Like this post & Drop ‘Scale’ & I’ll send it over.

1 winning ad → 10+ new variations.
In hours. Not weeks.
↳ All with AI.

Most brands treat a winning ad like a one-hit wonder.

They run it into the ground, burn it out, then scramble to create something brand new from scratch.

But the brands we're scaling like crazy?

They multiply what already works… systematically.

We’ve built a creative system that does exactly that.

Using AI + a few insanely useful tools, we help brands:

✅ Deconstruct their best ad using Foreplay.co
✅ Identify what made it win using Gemini
✅ Build 10+ platform-ready variations using Claude by Anthropic
✅ Keep CPAs low while scaling spend

We’ve just published the full SOP we use internally, and I’m giving it away for FREE.

It includes:

• The exact prompts we use with Claude + Gemini
• How we turn creative insights into new winning variations
• A full visual direction template for designers + editors
• Platform-specific tweaks for Meta, TikTok, YT & more

It’s not fluff.

It’s how we help our clients 5x their creative output and scale to record months... over and over again.

Want a copy of the SOP?

1. Drop "AI CREATIVE" in the comments
2. DM me & I’ll reply with the resource

Let's get you scaling 👇🏼

You don't have a creative problem.
You have a strategic angle problem.

Most brands hit a wall at <$100k/month in Meta spend, not because they've run out of ideas, but because their creative isn't mapped to the buyer journey.

Every piece of creative needs a job. 

And that job changes depending on where the buyer is.

Cold audiences need pattern interrupts. Warm audiences need proof. Hot audiences need urgency. 

Run the wrong angle at the wrong stage, and you're burning budget wondering why your "winning" creative stopped working.

That's why we mapped out the 7 angles we use across every account we scale.
Swipe through this carousel - it breaks down:

→ The 7 angles that actually move buyers at each funnel stage 
→ Which angle to deploy where (and why it matters) 
→ Real examples you can adapt and test this week

I'm Toby, the data-nerd, dog-loving, Ex-apple, combat sports enthusiast, and foodie CEO of Brick Social. 

We help 8-figure DTC brands scale with paid ads. I'm passionate about Facebook Ads, DTC Growth, Google Advertising, Performance Creative, and Conversion Rate Optimisation. 

When I'm not helping clients grow, you can find me volunteering at my local dog shelter, exploring new cities, or tasting amazing food at new restaurants.

𝐃𝐓𝐂/𝐄𝐜𝐨𝐦 𝐛𝐫𝐚𝐧𝐝 𝐦𝐚𝐧𝐚𝐠𝐞𝐫? 𝐈 𝐤𝐧𝐨𝐰 𝐰𝐡𝐚𝐭 𝐲𝐨𝐮’𝐫𝐞 𝐠𝐨𝐢𝐧𝐠 𝐭𝐡𝐫𝐨𝐮𝐠𝐡.

I get it. You've been burned by other agencies, flooded with cold emails, and worried about poor communication or outsourcing to inexperienced talent. I'm here to change that. 

I take a holistic approach to growth by providing the attention and expertise you need to drive results. 

No overpromising, no underdelivering – just real growth.

𝐒𝐨𝐦𝐞 𝐨𝐟 𝐭𝐡𝐞 𝐛𝐫𝐚𝐧𝐝𝐬 𝐈’𝐯𝐞 𝐰𝐨𝐫𝐤𝐞𝐝 𝐰𝐢𝐭𝐡:

Patch Plants, Bougie Bakes, SHITI Coolers, Brooklyn Brew Shop, Moto 360, Kodak Smart Home, Paddywax Candles, PetFusion and many other awesome brands.

𝐒𝐨𝐦𝐞 𝐨𝐟 𝐭𝐡𝐞 𝐭𝐡𝐢𝐧𝐠𝐬 𝐈’𝐦 𝐩𝐫𝐨𝐮𝐝 𝐨𝐟:

-Generated $300,000,000+profitable revenue for clients
-Dozens of 5⭐️ reviews from our partners on Clutch.co
-Featured in industry publications talking about e-commerce growth 
-Client retention 1+Years 

𝐋𝐞𝐚𝐫𝐧 𝐚𝐛𝐨𝐮𝐭 𝐦𝐚𝐫𝐤𝐞𝐭𝐢𝐧𝐠 & 𝐠𝐫𝐨𝐰𝐭𝐡 𝐟𝐫𝐨𝐦 𝐦𝐲 𝐋𝐢𝐧𝐤𝐞𝐝𝐢𝐧 𝐜𝐨𝐧𝐭𝐞𝐧𝐭.

As your go-to marketing professional, I’ll write here weekly about growth tips in e-commerce, paid ads, CRO, direct response creative, copywriting, and funnels. I'll also sprinkle in some personal stories that closely examine my internal world, adventures, and experiences. So hit the 🔔 to never miss a post! 

𝐈𝐟 𝐲𝐨𝐮'𝐫𝐞 𝐚𝐧 𝐄 𝐜𝐨𝐦𝐦𝐞𝐫𝐜𝐞 𝐅𝐨𝐮𝐧𝐝𝐞𝐫 𝐨𝐫 𝐂𝐄𝐎 𝐰𝐡𝐨 𝐰𝐚𝐧𝐭𝐬:

-To achieve sustainable growth while building unshakeable foundations that last 

-To work with a partner who does all the heavy lifting so you won’t have to 

-To have a team of experts on your side that supports you through thigh & thin and has a ZERO BS and sugarcoating policy-

 I'm your guy.

If you’re interested to learn more:

👉🏻Dm me on Linkedin
👉🏻email me at: toby@bricksocial.co.uk
👉🏻apply to work with me here:  https://bricksocial.typeform.com/to/rnERXIke

Or simply follow my LinkedIn profile. 

Let's forge a strong connection and help your brand grow!

Angles

Creative is now the PRIMARY targeting mechanism on all major ad platforms.
This isn’t a hot take… It’s reality ⇓

→ Meta’s ASC (Advantage+ Shopping)
→ Google’s Performance Max
→ TikTok’s Smart+ campaigns

All three use your creative as the targeting signal, not your manual audience selections.

The algorithm reads:

• Who engages
• Who watches
• Who clicks
• Who converts

And then finds more people like that.

Which means…

If your creative lacks depth, range, and persona clarity...
your targeting lacks depth, range, and persona clarity.

This is why we built our internal Creative Variety Matrix at Brick.

The graphic below is a simplified, front-end version of the much deeper backend system we use with partners.

Most brands think scaling means:

“Find a winning ad → increase budget.”

That worked in 2018.
It does not work in 2026.

Today, scaling requires structured creative expansion.

The 3 Dimensions We Scale Across

1️⃣ Content Type
Image
Carousel
Short-form video
Long-form video

2️⃣ Polish Level
Native / “Ugly” / UGC
Chameleon (blends into feed)
Branded / high production

3️⃣ Persona
This is the multiplier most brands ignore.
Instead of making 10 ads for “everyone,”
We build creative clusters around distinct buyer profiles.

Each persona gets:
Content type ×
Polish level ×
Angle.

Now you’re not launching random variations.

You’re building a creative ecosystem.

Why this matters:

• Meta rewards diversity in delivery
• Fatigue slows dramatically
• CPAs stabilise at scale
• ASC & PMax get stronger targeting signals
• Budget increases stop breaking performance

Most accounts plateau because they try to scale spend without scaling signal.

And modern platforms reward signal depth.

Creative variety, when structured properly, becomes a competitive advantage - not just a testing tactic.

Most brands kill ads too early.

Not because they don’t work…

But because they don’t understand why they work.

I broke down 3 static ads from Hume Health that refused to die. 

Hume Health

Different angles.
Different psychographics.
Same product.

Here’s the bigger lesson:

Winning creative isn’t about making “better ads.”

It’s about building a system.

• One ad that sells to past pain
• One ad that sells to ego + identity
• One ad that dominates a niche community

3 emotional entry points.
1 product.
Full market coverage.

Most brands rely on one angle and call it testing.

The brands that scale past $25M/year build psychographic coverage.

If you want your ads to last, stop asking:
“Is this creative good?”

Start asking:

“Who is this for - emotionally?”

Steal the framework inside the carousel 👇

Hume

This $4B company doesn’t run complicated ads.

They run simple ones.

And that’s exactly why they work.

Most brands try to win with:

• More features
• More claims
• More design
• More “polish”

hims & hers does the opposite.

They lead with:

👉 A shared frustration
👉 A seasonal anxiety
👉 A reframe of the status quo

No aggressive before/afters.

No over-explaining.

No feature overload.

Just emotional truth + smart positioning.

A few things worth stealing:

1️⃣ Start with the feeling, not the fix.
If your audience has heard the phrase before (“Your blood work looks fine”), you’ve already won attention.

2️⃣ Let typography do the heavy lifting.
Strikethroughs. Corrections. Visual tension.
The design itself tells the transformation story.

3️⃣ Compete against the default, not a competitor.
“5x more than routine bloodwork” is stronger than naming a brand.
Position against the status quo.

The biggest mistake I see eCom brands make?

Trying to prove they’re better.

Instead, show people what they’re missing.

If you’re running static ads right now, ask yourself:

Are we leading with emotion?

Or are we leading with features?

Big difference.

Hers

You tested 18 ads last month. Zero winners.

You weren't testing 18 concepts. You tested one idea 18 times.

Here's what I see constantly:

A brand spends $150K/mo on Meta. 

They're "testing aggressively." 

The creative pipeline looks like:

→ 5 UGC creators saying the same hook in different kitchens 
→ 3 variations of the founder story with different B-roll 
→ 4 versions of the same testimonial cut to different lengths 
→ 6 static ads with the same value prop, different colors

They tested 18 ads. They tested 3 concepts.

The problem isn't volume.

It's strategic diversity.

Most brands confuse creative production with creative strategy.

Here's the difference:

Production volume = more ads that say the same thing
Concept diversity = fundamentally different hypotheses about what drives conversion

Example:

Low diversity:

"Reduces bloating in 30 days" (UGC)
"Reduces bloating in 30 days" (founder)
"Reduces bloating in 30 days" (testimonial)

High diversity:

"Reduces bloating in 30 days" (outcome-driven)
"Finally, a probiotic that doesn't make you nauseous" (problem-aware)
"Your gut microbiome is why you're tired" (education-led)

Same product. Completely different angles.

Why this matters at scale:

When you're spending $10K+/day, you're fighting angle saturation.

The algorithm finds everyone who responds to "reduces bloating." If that's your only angle, you've capped your addressable market.

New angles = new audiences = new scale ceiling.

The Framework: Creative Concept Taxonomy

1. Outcome-Driven – "Get clearer skin in 14 days" 

2. Problem-Agitation – "Tired of probiotics that make you more bloated?" 

3. Education/Mechanism – "Why gut health affects your energy" 

4. Social Proof – "I've tried 6 probiotics. This is the only one that worked" 

5. Contrarian – "Most probiotics are a waste of money. Here's why" 

6. Lifestyle/Aspiration – "What high performers do for gut health" 

7. Comparison – "We're not like other probiotics"

How to structure testing:

Month 1: Test 1-2 ads from EACH category. 

Goal: Find which angles have legs. Don't kill early - these need $2K-$5K spend to prove themselves.

Month 2-3: Exploit + Expand Double down on 2-3 winning angles. Produce 3-5 variations of each. Now you're scaling concepts, not guessing.

Ongoing: Rotation Every month, test 1-2 new angles from categories you haven't validated.

The mistake:

Brands find one angle that works (outcome-driven). 

They produce 30 more ads in that category. Performance plateaus.

They blame creative fatigue or iOS or Meta.

The real issue: they're fishing in the same pond with 30 rods instead of finding new ponds.

Bottom line:
Concept diversity unlocks new audience segments. Production volume scales the segments you've already unlocked.

Most brands do the second without the first.

That's why they hit a wall.

We started working with this health brand at the beginning of 2026.

Here’s the YoY comparison:

• Revenue: $4.53M (+61%)
• AOV: $125.40 (+14%)
• Conversion rate: +34%
• Sessions: +7%

No new channels.
No viral product.
No “one big unlock.”

Just better execution across the fundamentals.

Operators fall into the trap of thinking scale comes from one big idea.

In reality, it’s small, often ignored optimisations stacked together that compound.

Here’s what actually moved the needle for this brand 👇

1️⃣ Fixing fundamentals before scaling spend

Before increasing budget, we:

– Deep audited creative (angle gaps, objection blind spots, avatar depth)
– Restructured the ad account for cleaner testing + faster feedback loops
– Audited the site for clarity, proof, and friction
– Implemented stronger attribution (Triple Whale, KnoCommerce)
– Built a proper creative analysis workflow

Most brands try to scale with brute force.

Scale happens when you obsess over the fundamentals.

2️⃣ In health, trust > production quality

Overproduced ads underperform in health.

Raw founder content.
Educational iPhone breakdowns.
UGC that feels real.
They convert better.

Why?

Health purchases are trust-driven.

But authenticity only works when:

– Creators sound like themselves
– Claims are clear
– Objections are addressed directly

Clarity > aesthetics.

Especially in health.

3️⃣ Offer engineering lifted AOV

Scaling past $2M/month required structured offer testing:

• Bundles built around use-case
• Subscribe & save optimisation
• Threshold incentives
• Value-add bonuses instead of discounts

$100 + added value

Beats

$80 with margin erosion.

4️⃣ We optimised for contribution, not ROAS

Serious scale comes from knowing:

• CAC thresholds
• Contribution margin
• Payback window
• LTV:CAC

Once you understand those, you stop guessing.

You know when you can push.

You know when you need to pull.

5️⃣ Scale is compounding

Better creative depth.
Better offers.
Better structure.
Better data clarity.

Individually small.

Collectively massive.

There was no “magic tactic.”

Just disciplined stacking of the right levers.

Not sexy.

Extremely effective.

---

If you’re running a health brand and want a second set of eyes on your setup, I’m happy to take a look.

No pitch.
No obligation.

Just an honest audit of where the leverage probably sits.

In 2025, we scaled a fashion brand from $150k to $1.2m/month.

The bottleneck wasn’t creative volume.
It wasn’t CRO.

It was creative depth.

When we audit fashion brands spending £50k–£500k/month, we see the same pattern:

• Same formats
• Same messaging
• Same angles
• Different colours

That’s not testing.
That’s rotation.

The top-performing brands we work with are obsessed with creative diversity.

Not more ads.

More angles.
More formats.
More avatars.

So I pulled together 100+ high-performing fashion ad concepts - the exact types driving scale right now.

If you want the swipe file:

Like this post + comment “Fashion” below, and I’ll send it over.

Brands we're scaling to 8 and 9 figures aren’t running more ads.
 
Often, they run fewer than some 6-figure brands I audit.

Instead, they’re running more distinct ads, built for fundamentally different people.

That difference matters.

Creative diversity isn’t volume.

It’s intentional variety across:

• Messaging
• Angles
• Formats
• Avatars
• Awareness levels

Let’s make it concrete with a familiar example: 

Loop Earplugs.

Different avatars. Same product.

• Festival-goers protecting their hearing
• Light sleepers with a snoring partner
• Remote workers in noisy homes
• Parents craving calm without isolation
• Frequent flyers trying to survive long-haul flights

One SKU. Completely different jobs to be done.

Different angles per avatar:

• Festival-goer: Protect your hearing without killing the experience.
• Sleeper: Sleep through snoring—finally.
• Remote worker: Reduce noise without disconnecting.
• Parent: Lower the chaos, stay present.

Same product. Different emotional entry points.

Different awareness levels:

• Unaware: What years of festivals did to my hearing.
• Problem-aware: Tried melatonin, white noise, everything—nothing worked.
• Solution-aware: We tested 3 earplugs against toddler-level noise.

You don’t sell the same way to all three. Most brands still try.

Different creative formats:

• POV moments
• Comparisons
• UGC listicles
• Street interviews
• Lifestyle integration

Creative formats aren’t there to “look different.”

They exist because people absorb information differently.

Some need proof.
Some need comparison.
Some need to see themselves in the situation first.

That’s why one message rarely scales.

The mistake most brands make is hammering a single audience with variations of the same idea and calling it testing.

Your customers already told you how to scale.

You're just not listening.

Most brands install a post-purchase survey…

…ask “how did you hear about us?”

 …and call it a day.

That’s leaving money on the table.

Post-purchase surveys aren’t for attribution.

They’re for leverage.

When structured properly, they unlock:

• Better ad hooks (real language buyers use)
• Stronger offers (what actually tipped them)
• Higher LTV (why they come back)
• Clearer positioning (why you vs competitors)
• New product ideas (what they want next)
• Margin protection (discount sensitivity insights)

The key is asking questions that ladder into strategy.

Every high-value survey falls into one of 6 buckets:

1️⃣ Attribution (but smarter - time to convert, influence layering)
2️⃣ Motivation (what problem were they solving?)
3️⃣ Objection (what nearly stopped them?)
4️⃣ Retention (what would make them reorder?)
5️⃣ Competitive (what alternatives did they consider?)
6️⃣ Expansion (what else do they want from you?)

The moment after purchase is the highest-truth point in your funnel.

Intent is fresh.

Emotion is active.

The real reason is still conscious.

Most brands guess at creative angles.

The best brands read what buyers already told them - and reflect it back in ads.

Meta will get noisier.

First-party insight compounds.

If you want the full framework (200+ question examples broken down by use case), comment “SURVEY”, and I’ll send it over.

Most brands kill their best ads too early.
In reality, your best creative has 10x more life in it than you think.
Here’s how you extract it:

For video ads:

• Test new hooks (change the text overlay or reshoot the first 3 seconds)
• Swap in different opening lines while keeping the rest identical
• Use the same script with different creators
• Change the B-roll (especially powerful with AI voiceover ads)
• Adjust pacing (speed up or slow down key moments)
• Cut down to the core message or extend with additional proof
• Swap in different testimonials

For static ads:

• Winning visual + new headlines
• Winning headline + new visuals
• Animate winning statics

For native-style ads:

Use AI tools to swap the main subject across different demographics while keeping the rest of the ad identical.

The key rule:
Change one variable at a time.

This is how you squeeze far more performance from every creative winner.

Most brands see an ad work and immediately move on to building something new from scratch.

The sophisticated approach treats creative iteration like a controlled experiment.

And that’s where the real scale comes from.

We have 2 final slots available for brands to join us for Q2.

If you're looking to scale paid acquisition with a more structured creative testing system:

I'll leave a link in the comments 👇

Something I've noticed while auditing ad accounts recently.

There are two types...

The ones that are scaling, and the ones that are busy.

The busy ones all look the same.

150 ads a month. Full Slack channels. Weekly production calls. An organised shared drive. A learnings doc that hasn't actually changed how anything gets built.

And the account hasn't moved in three months.

The problem isn't output. It's that most of what gets produced isn't testing anything. 

It's content. And content and creative testing are not the same thing.

A real test has a question before it goes into production. 

One variable isolated. 
A hypothesis. 
A clear definition of what a result actually means.

What most brands have is a brief that says "let's try a UGC version" and a learning doc full of opinions.

The fix isn't producing more. It's asking better questions before you brief anything.

What don't we know about this audience? 
What's the gap between our best performer and everything else, and what does it actually tell us?

Build the creative to answer that. 

Ship it. Read it properly. Let it change the next brief.

That's it. That's the whole system.

The brands I've seen scale fastest on Meta aren't the ones with the highest creative output. 

They're the ones who know exactly what they're trying to learn each week - and build around that.

Volume is a crutch.

What got you to $10M won't get you to $50M.

And most brands don't figure that out until growth has been flat for 2 yrs.

When we audit and consult with brands around $10M that have plateaued, the pattern is almost always the same. 

The founding playbook: early brand awareness, a strong launch offer, a tight subscription base... did exactly what it was supposed to do. 

It got them here.

But somewhere along the way, the strategy stopped evolving. The team kept executing the same plays because they worked before. 

The acquisition engine never got rebuilt for the next stage. And the subscription base that was masking the problem slowly stopped being enough.

The uncomfortable truth is that most plateaued brands aren't suffering from bad execution. 

They're suffering from comfort.

Nobody wants to question the thing that built the business. But there's a difference between what's driving growth and what you're just used to doing.

The audit question we always start with:

If you stripped out your existing subscriber/repeat buyer revenue, would your new customer acquisition actually sustain this business?

Most brands don't like the answer.

If you're at 8-9 figures and growth has been flat, the problem probably isn't your ads. 

It's that the strategy underneath them hasn't been pressure-tested in years.

If that sounds familiar, we do a limited number of audits each month. 

Link in my profile.

Brands brag about creative testing…

…but avoid the one test that actually unlocks scale:

Price.

Most brands obsess over:
Creative angles
Audience targeting
Campaign structure

And never touch the most powerful variable in the system: pricing.

Why this matters.

Let’s say you’re selling a supplement at $79.

Current state:
Price: $79
COGS: $18
Conversion rate: 2.8%
CAC: $52

Media contribution: $79 − $18 − $52 = $9 per order

You’re profitable, but capped.

At around $150K per month in spend, CAC starts to break and scale stalls.

Now test $89.

Price: $89
COGS: $18
Conversion rate: 2.4%
CAC: $60

Media contribution: $89 − $18 − $60 = $11 per order

That’s a 22% increase in contribution per order.

Same product.
Same traffic.
More room to scale.

Higher media contribution lets you:
Bid more aggressively
Tolerate higher CPMs
Target broader audiences

Now push it to $99.

Price: $99
COGS: $18
Conversion rate: 1.9%
CAC: $68

Media contribution: $99 − $18 − $68 = $13 per order

At $150K per month in spend:
$79 price → ~$26K total contribution
$99 price → ~$29K total contribution

Fewer orders.
More profit.

Most brands never test this because they’re scared.

They’d rather tweak creative endlessly than touch the variable that actually decides how far they can scale.

End of week wins 👇
Our Head of Google, David Shelton, just dropped performance updates from two recently onboarded CPG brands...

Both came to us in similar positions:

Under-structured accounts.

Low efficiency.

Untapped intent.

Brand 1 -(starting almost from scratch on Google)

First month after rebuilding properly:

• +173% increase in click volume + traffic

• +15% lift in AOV

• +48% increase in ROAS

• Meaningful incremental revenue built immediately

Not from increasing spend.

From fixing structure, feed optimisation and tightening intent capture.

-----

Brand 2 -(had been running Google but struggling with ROAS)

Without increasing spend:

• +28% ROAS

• +21% purchases + revenue

• +13% new customers

• +16% AOV

• -20% CPC

Again - efficiency driven.


------

On the retention side, Brad Neil (our Head of Email) wrapped the week by completely re-architecting a partner’s Klaviyo setup.

We:

• Rebuilt high-impact flows from the ground up

• Tightened segmentation based on real buyer behaviour

• Refined offer positioning inside campaigns

• Cleaned deliverability and send logic

Result:

Significant incremental revenue lift - without increasing send volume or discount dependency.

That’s the part most brands miss.

Scaling isn’t about “more”.

It’s about better architecture and synergy across paid + retention.

Proud of the team.

If your Google account is plateauing or your email channel feels like it’s just ticking along, there’s usually a structural unlock sitting there.

We started working with this CPG brand at the beginning of 2026

And I'm posting this because it shows how scale actually happens.

$4.37M in roughly 54 days (up 60%)

No single “unlock”.

Most brands think scale comes from one big idea.

In reality, it's small, often ignored optimisations stacked together that compound.

Here are some of the biggest I see consistently 👇🏼

1. Testing and scaling in the same place

A brand finds a winner, increases budget… and performance falls apart.

Why?

Because testing budget + scaling budget creates chaos.

You can’t tell if results dropped due to fatigue, bad tests, or a learning reset.

Fix:

Separate testing from scaling entirely.

Tests prove themselves fast. Winners graduate to efficiency-focused campaigns.

2. Overproduced creative kills performance

The most common mistake: ads that look too polished.

Founder iPhone videos and raw UGC consistently outperform studio-quality content.

Why?

Because authenticity beats production value.

UGC only works if creators sound like themselves. 

Give them an angle, not a script.

And don’t underestimate text overlays:

Clear, bold claims beat subtle lifestyle visuals every time.

Clarity > aesthetics.

3. Your offer is stale

If you’re running the same offer you launched with, you’re leaking revenue.

Brands scaling past $3M/month constantly test:

 • Bundles to lift AOV
 • BOGO structures
 • Threshold offers
 • Time-limited bonuses

Adding perceived value beats cutting price.

$100 + $40 bonus > $80 discount (and your margin stays healthier).

4. The metrics most brands ignore

ROAS is a vanity metric.

Serious scaling happens when you have clarity on:

• LTV:CAC ratios
• CAC Thresholds
• Contribution margin
 
If you don’t know these, you’re optimising blind.

Once you do, decisions get simple:

You know when you can push, and when you need to pull back.

You allocate capital where unit economics justify it.

5. Scale comes from compounding, not breakthroughs

Brands that scale don’t chase silver bullets.

They stack small wins:

 • Better structure
 • Better creative systems
 • Smarter offers

Individually small. Collectively massive.

Bottom line:

Scaling isn’t about one magic tactic.

It’s about tightening the 10–15 levers that quietly determine performance.

Not sexy. 

Extremely effective.

I just wrapped up an audit for a beauty brand spending $100K/month on ads and made a concerning discovery...

Their static ads were performing terribly:

Unique CTR: 1.31%
CPM: $10.11
CPA: $178

The culprit?

Product-obsessed creatives that look like every other beauty ad.

Same glossy product shots.

Same perfect models.

Same "revolutionary formula" claims.

Here's the problem with product-focused ads on Meta and Google: 

they scream "THIS IS AN AD" and users scroll right past them.

After analyzing 200+ top-performing beauty ads, we found that the best-converting creatives don't just showcase products, they tap into specific customer motivations.

Our Creative Matrix Worksheet revealed 7 concepts they're completely missing:

Testimonial Ads (real people sharing authentic results)
Lifestyle Ads (showing the product in everyday contexts)
Problem → Solution Ads (addressing specific pain points)
Comparison Ads (clear differentiation from competitors)
Ugly Ads (organic-looking content that doesn't feel polished)
Authority Ads (leveraging press mentions and accolades)
Before & After Ads (visual proof that creates desire)

The beauty brands scaling profitably on Meta and Google right now are the ones testing across ALL these concepts, not just product shots.

Most beauty brands we audit are only using 1-2 of these concepts in their ad arsenal.

No wonder CPAs are through the roof.

We're confident we can turn their ad account around with these adjustments + our Brick-by-Brick Framework to systematically test each concept.

When brands follow our framework, they typically see CTRs double and CPAs cut by 30-50% within 45 days.

The lesson? Stop making ads that look like ads.

If your CTRs are below 2% on Meta, you're paying a massive "boring tax" on your ad spend.

Running $50K+/month on beauty ads but struggling with rising CPAs?

Let's chat.

“Our main issue now is delivering on the growth you guys are generating.
 I don’t know what you’re doing… but f* it’s working.”

That was a message from a client last week.

We started working together 12 months ago.

Since then:

• $33M+ in gross sales
• +26% YoY growth
• CVR% up 10% 
• AOV up 10%

But the reality is…

There wasn’t a single “silver bullet”.

No viral ad.

No one optimisation that changed everything.

Just dozens of optimisations compounding over time.

Things like:

• Restructuring the ad account to scale spend more efficiently
• Building a much deeper creative testing pipeline
• Using customer reviews and research to inform new ad angles
• Improving landing page conversion paths
• Tight feedback loops between media buying, creative and retention teams
• Expanding the creative variety in the account
• Doubling down on what customers actually respond to

None of these changes are particularly sexy on their own.

But stack them together for 12 months…

…and the results compound.

That’s how most brands actually scale.

Not with one breakthrough.

But with consistent, methodical improvements across the entire growth engine.

----

We’ve got one client slot left for March.

If you’re doing $2+ a year and looking to scale paid acquisition properly

Feel free to drop me a message - we'll see if we're a fit!

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Árpád Tóth

Toby W.

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Toby W.

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