Built from the prioritisation system used across the Resident Portfolio of Brands whilst scaling from $0 to $1bn — culminating in a $1bn exit.
Private infrastructure for serious operators.
At scale, growth is rarely constrained by ideas.
It is constrained by sequencing.
Revenue doesn't disappear.
It becomes obscured.
At nine figures, the hardest constraint wasn't growth.
It was deciding what not to work on.
Coar formalises that decision layer.
AI is the infrastructure.
Clarity is the product.
Each week, the Engine evaluates 40+ revenue variables across PDP clarity, offer architecture, checkout friction and lifecycle signal.
It identifies the highest-confidence revenue leakage.
It ranks the three actions that matter.
The below is a partial excerpt from a weekly Revenue Memo. Each client receives a complete prioritised analysis covering all revenue dimensions, with full rationale and supporting data behind each recommendation.
Built by operators who took DTC from zero to nine figures.
At that scale, the constraint was never creativity — it was prioritisation discipline.
This is not a growth experiment.
It is decision infrastructure.
"Most brands don't need more ideas.
They need to know which ones will actually move revenue."
The next competitive edge in DTC will not be testing volume.
It will be prioritisation speed.
Most brands will add more tools.
The serious ones will add a decision layer.
That gap is widening.
Coar is built for £5m–£50m Shopify operators — founder-led or PE-backed — who understand that the next advantage is not more data.
It is better decisions.
If you are looking for experimentation volume,
Coar is not for you.
Each week: a Revenue Memo, three prioritised actions, confidence-weighted ranking, conservative impact estimate.
Nothing else.