Food & BeverageRead the case
25M+
Cumulative revenue
American Uncle
We're not American Uncle's agency. We've been shareholders since day one. Here's what it means to build a brand for ten years with skin in the game.
Creative System for E-commerce
The next winner, before the current one burns out.
Hook, visual, proof and offer tested with method: you know what to scale, what to stop and what to make next.
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€62M
Ad spend managed
€190M+
Revenue generated for clients
80+
Brands served
Official partners
It works when the bottleneck is creative, not product-market fit.
This is for you if
- Performance drops as soon as frequency, spend, or promotional pressure rises
- Your team produces assets, but not useful learning about what is actually selling
- You want to know whether the hook, proof, visual, or offer needs to change
- You have the budget, product, and speed to test consistently
This is not for you if
- You are looking for one winning video to squeeze for months
- You only want more production, without a testing method or stop rules
- Your real bottleneck is product-market fit, pricing, or catalog strategy, not creative
- You cannot support a minimum pace of creative iteration
What we put under control
Not just creative output. Test variables, production pace, promotion rules, and decay signals.
Test hypotheses, not scattered ideas
Every batch starts from clear hypotheses around hook, proof, visual, offer, and CTA. That way you know what you are actually validating.
Production tied to learning
Statics, UGC, video, and variations are produced to close useful tests, not to fill an editorial calendar.
Fast reads on winners and decay
We read the signals that matter before budget gets absorbed by tired creatives or false positives.
Scale and refresh decisions
We define when to promote, when to iterate, and when to stop a creative using thresholds tied to margin, CAC, and goals.
How it works in the first weeks
The goal is not to produce a lot immediately. It is to learn fast what moves demand, conversion, and margin.
Creative and fatigue audit
Week 1
We analyze assets, account data, decay patterns, and what you currently call testing to find where learning is actually breaking down.
- Map of current winners and losers
- Gap between angle, format, and offer
- Priority list of tests
Hypothesis matrix
Week 2
We turn the data into a concrete matrix of hooks, proof points, visuals, and CTAs to isolate. Every new asset is produced to answer a specific question.
- Priority angles
- Testing briefs
- Stop/go criteria
First batch and readout
Week 3-4
We launch the first batch, read useful signals, and quickly separate false positives from ideas worth iterating and assets worth cutting.
- First validated creatives
- Initial winners
- Impact-ranked iterations
Continuous refresh cycle
Monthly
We build a sustainable pace of production, analysis, and refresh so you are not waiting for performance to die before deciding what to do next.
- Plan for upcoming batches
- Monthly fatigue readout
- Shared scaling decisions
What you actually receive
Not an asset archive. A system that produces learning and new winners.
A clear map of what is opening new demand
You separate tests that only improve CTR from the ones that move purchase intent, traffic quality, and margin.
- Angles to push and angles to shut down
- Separate reading of hook, visual, proof, and CTA
- Data-based priorities for the next batch
A production rhythm that never restarts from zero
Batches, feedback, and iterations follow a learning cadence. Your team knows what to produce and why, even when performance changes fast.
- Clearer briefs for creators and editing
- Less random revision work and less operating friction
- More useful volume, fewer assets made just to make something
Control before fatigue becomes a cost
You see early what is wearing out, what deserves more budget, and where the real bottleneck is not creative but offer or post-click.
- Readable winner and decay signals
- Refresh decisions before the drop
- Escalation to offer or funnel when needed
Verifiable Results
Case Studies
Not words, numbers. Here's what we've done for brands like yours.
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During the meeting, we'll evaluate together whether there are the right conditions for a profitable collaboration.
Want to profitably scale your e‑commerce?
We only accept brands where we're confident we can make a real impact.
Ad spend €10k+/month
You already invest in Meta or Google and want to stop budget waste and rising nCAC.
Revenue over €500k/year
Below this threshold a senior fee weighs too much on the P&L. Above it, there is margin worth protecting and scaling.
Validated product-market fit
You have a catalog and an offer the market already buys. We do not work with pre-PMF projects or product tests.
Cost of goods data available
Without COGS, contribution margin cannot be calculated, and without that nothing can be decided.
Fit assessment, before any proposal