Your data has been talking. We help you listen.

Every founder deserves a full team behind them. Now the economics work.

The problem

At this stage, every option is the wrong size.

A senior CMO
A $250K+ salary — before the team they’ll want to hire underneath them.
A fractional CMO
A rented brain. Judgment without an operating system underneath it.
A large DTC agency
$10K+/mo retainers, $25K+/mo ad-spend minimums — built for $5M+ brands. You’d be the smallest account.
Stitched-together specialists
Each competent at their slice. Nobody owns the thesis.
AI marketing tools
They execute tasks. They cannot author the thesis.

You make most strategic decisions alone, with whatever data you can pull yourself, and execution is whoever you can afford this month.

From the founder

Every founder has dashboards. The data stares back and says nothing. Topology — the operating layer every engagement runs on — is built for the opposite: lenses that narrow the field of vision to the numbers that matter right now, so you can hear what the data is saying. What’s happening, why, and where to go from here.

Not an agency.
Not a fractional CMO.
Not an AI tool.

A senior direct report for your business, built on an operating system that compounds — delivered at the economics that AI finally makes possible.

Proof · the operator

Built from operating reality.

The system was built by the same operator who ran growth inside DTC brands from zero to $100s of millions in revenue.

Sales velocity · 3 months

Gen Z intimates brand, already doubling YoY. Channel mix rebalanced around earned momentum.

10×
Sales velocity · under 9 months

Designer-led luxury apparel — acclaim without DTC sales. Demographic study; brand realigned to the actual buyer.

9-figure
Sales · from launch

High-profile prestige beauty launch. Disciplined assortment management; marketing that converted attention rather than coasting on it.

10×
Growth · past a $10M ceiling

Purpose-driven casual apparel, stuck. Assortment and targeting reshaped around the strength the data kept flagging.

Proof · the system

The same judgment now operates as a system.

Live engagements, anonymized. Numbers as reported in Topology.

Luxury skincare

Four-lens review

Revenue −27% in a month, nothing obvious. The four-lens review isolated add-to-cart −35%, traced to paid-mix drift plus visible out-of-stocks. The fix was directed where the data pointed.

Revenue+33%
Orders+45%
Conversion+52%

Next month, on fewer visitors.

Premium skincare

Replenishment thesis

Median time to second order: 29 days — replenishment behavior nobody had named. The thesis was rebuilt around it and a subscription launched. Traffic then fell 29%; revenue held, because the buyers the system identified kept buying.

Subscriptions3 → 23/mo
Second order29d → 23d
Revenue, −29% traffic+1.6%

Same month, the data said "not yet" to Amazon — and specified the four triggers that will say when.

None of this is magic. It’s a system you can inspect.

How the system works →