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- How we scaled this brand 282% YoY (Full Breakdown)
How we scaled this brand 282% YoY (Full Breakdown)
A breakdown of the strategy, systems, and decisions that drove 282% YoY growth

Welcome back to The Brick-by-Brick Newsletter - where 7-8 figure brands learn how to scale efficiently.
This week, I wanted to break down a recent case study from one of our clients - an overnight oats brand we partnered with in 2025.
Over a relatively short period, we helped scale the brand to a $595k month (↑ 282% YoY), while improving efficiency across the board:
CPA ↓ 22%
Subscriptions ↑ 34%
There wasn’t a single “silver bullet” here.
This was the result of tightening fundamentals across:
Customer understanding
Creative strategy
Media buying
Conversion
Below is a detailed breakdown of what actually drove that growth:
The Core Challenge: Expanding Beyond a Niche Audience
When we first came into the account, the brand was heavily positioned towards:
Fitness enthusiasts
Bodybuilders
High-protein / performance-focused consumers
That positioning made sense historically - and it worked.
But it also created a ceiling.
Through research, it became clear that a large portion of existing customers didn’t actually identify with that niche.
To validate this, we looked at:
Post-purchase survey data
Customer support tickets
Historical ad engagement
Direct customer interviews (led by the brand team)
What came through consistently:
Customers weren’t buying this product because they were “into fitness.”
They were buying it because:
It was convenient
It tasted good
It helped them stay consistent with their diet
It removed friction from their mornings
This insight reframed the opportunity.
Instead of a niche product for performance, this was:
→ A broadly appealing, convenience-led breakfast product
That shift in understanding became the foundation for everything that followed.
1. Research-Led Creative & Positioning
Persona Development (Grounded in Real Data)
We segmented customers using:
Shopify + GA data
Survey responses
Purchase behaviour
Qualitative feedback
Rather than building personas based on assumptions, we mapped:
Motivations
Objections
Use cases
This allowed us to move away from generic messaging and towards persona-specific communication.
Creative & Messaging Evolution
We expanded messaging beyond performance and leaned into:
Convenience
“Ready in seconds. No cooking, no hassle.”Balanced nutrition
“A mix of protein, fibre and healthy fats for sustained energy.”Taste & enjoyment
“Flavours you actually look forward to eating.”Lifestyle fit (particularly for women & busy professionals)
“A filling, low-effort breakfast that keeps you on track.”
This wasn’t about abandoning the original audience.
It was about layering additional entry points into the product.
Creative Execution
We introduced:
Lifestyle-led imagery (non-fitness environments)
Testimonial-driven ads (especially female-led UGC)
Story-driven short-form video (Reels/TikTok style)
Multiple copy angles (health, convenience, taste, cost)
Importantly, this wasn’t done all at once.
It was structured around testing frameworks, not creative volume.
2. Media Buying & Scaling Approach
Creative-Led Performance Shift
One of the more meaningful insights came from early testing:
Short-form video (Reels) consistently outperformed static formats:
Higher engagement rates
Lower CPA
Better scalability
As a result, we:
Reallocated spend towards video-first creatives
Built testing pipelines specifically for short-form content
Iterated on structure (hooks, pacing, framing)

Campaign Structure
We used a mix of:
ASC (Advantage+ Shopping Campaigns) for scale
Segmented campaigns for:
Existing fitness audience
New personas (busy professionals, women, general health)
Retargeting based on:
Engagement
Site behaviour
Purchase history
The key was separating intent levels and personas clearly, rather than blending everything into one structure.
Creative Testing Framework
We ran structured tests across:
Formats (video, static, carousel)
Hooks (problem vs benefit vs lifestyle)
Creative styles (UGC, branded, testimonial)
A key principle here: A test was only valid if it answered a specific question.
This allowed us to:
Double down on proven angles
Eliminate wasted spend quickly
Build a clearer roadmap of what to produce next
Scaling Methodology
Rather than aggressively increasing budgets across the board, we used a controlled approach:
Test creatives at $50–$100/day
Identify winners at ~2x ROAS
Scale incrementally (+20–30% every 2–3 days)
Push proven creatives into higher-spend ASC campaigns
Top performers were scaled from ~$100/day to $1,400+/day.

Retargeting & Post ID Strategy
We:
Retargeted high-intent users (engagers, site visitors)
Reused winning post IDs from previous campaigns
Maintaining post IDs allowed us to retain:
Social proof
Engagement history
Which improved conversion rates at scale.
3. Website & CRO Improvements
Alongside paid media, we ran a full CRO audit and worked with the brand’s internal team to implement changes.
Key Areas of Focus
1. Navigation & Clarity
Simplified category naming
Reduced brand-specific jargon
Improved product discoverability
2. Product Page Improvements
We recommended a broader mix of:
Product shots
Call-out visuals (benefits)
Lifestyle imagery
UGC
Product-in-use content
This ensured the page catered to different decision-making styles.
3. Offer Testing
We tested:
Tiered discounts
Spend thresholds (e.g. spend X, get Y)
This helped increase AOV without damaging margin.
4. Landing Pages
We built:
Advertorial-style pages
Collection-based landing pages
These aligned closely with specific personas and traffic sources.
Result:
→ Advertorial pages converted 18% higher than standard PDPs
5. Site Speed Improvements
Desktop: 32 → 96
Mobile: 13 → 66
This had a meaningful impact on conversion efficiency.
6. Post-Purchase Feedback Loop
Using tools like KnoCommerce, we gathered:
Purchase drivers
Objections
Points of hesitation
These insights fed directly back into:
Creative
Messaging
Landing pages
4. Omni-Channel Integration
We aligned Meta with:
Google Search
YouTube
Key areas:
Using search query data to inform Meta messaging
Maintaining consistent messaging across platforms
Supporting retention through email and direct mail partnerships
This created a more cohesive customer journey and improved overall efficiency.
5. Creative × Media Buying Feedback Loop
One of the most important operational shifts was ensuring tight alignment between teams.
We implemented:
Weekly performance reviews
Creative briefs built from actual ad data
Modular creative systems (swappable hooks, scenes, CTAs)
Real-time feedback from media buyers to creative
This reduced lag between: → Insight → Execution → Iteration
Which is where most accounts lose momentum.
Results
$595k month (↑ 282% YoY)
CPA reduced by 22%
Subscriptions increased by 34%
Conversion rate increased to 2.8%
Key Takeaways
A few things that stood out from this:
Positioning often limits scale more than targeting
Expanding the “who this is for” unlocked a much larger market.Creative performance is a function of insight, not volume
The best results came from structured testing, not more output.CRO and paid media need to move together
Scaling traffic without improving conversion creates inefficiency.The feedback loop is the system
The speed and quality of iteration mattered more than any single tactic.
What’s Next
The next milestone is the brand’s first $1M month.
The focus now is:
Expanding creative variation without losing signal
Continuing to refine persona-specific messaging
Supporting new product launches with the same framework
If you’re running paid acquisition at scale, this is usually where growth comes from:
Not doing more.
But tightening the system behind what you’re already doing.
Ready to Break Your Growth Ceiling?
If you're doing $200K+ monthly and feel like you've hit a wall, this is exactly the type of work we do at Brick.
We don't just run ads. We diagnose constraints, build systematic testing frameworks, and execute strategies that actually scale.
If you want to explore what this could look like for your brand:
Until next week,
Toby.