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Pricing

Priced in the open.

Every analysis, included in every tier. Deployed models, priced on the page. No custom quote to pry loose, no per-question meter running.

Single Brand
A$7,500US$5,000/ month
  • 1 brand
  • The full analysis library
  • Dashboard, intake & analyst chat
  • 5 seats included
Enterprise
CustomCustom
  • Beyond a portfolio of brands
  • The full analysis library, every brand
  • Custom seats & terms

Effective per-brand price declines with volume. Additional seats A$45US$30 / month each. Annual contract default, billed annually at ~15% below monthly. All models, no meters. Enterprise combines the platform with the Prescriptive Suite, Continuous Experimentation on flagship brands, and deployed models per brand — a designed package, priced in the open like everything else.

Getting started

A one-time setup, per brand.

Once per brand, we map that brand's data and fit its certified models — a time-boxed setup that gets it product-ready. Your data access is a single read-only grant; the mapping is what happens per brand. It's never absorbed into the subscription, and it's never a running services tail.

Standard onboarding
A$7,500US$5,000
Complex source mapping
A$15,000US$10,000
Deployed models

Scores that stay fresh, priced like operations.

Most of the library is analysis — you come with a question, a model answers it, it's included. A few models are different: they keep a score fresh and ready to act on, like churn risk or lead scores. Those are deployed models — operational, operator-released on a cadence, and added per brand to any tier. Certified, operator-released scores, refreshed on your cadence, ready to query alongside your own data.

Deployment · one-time, per brand
Initial deploymentModel fit + calibration on your data, operator certification, first released scores
A$6,000US$4,000
Freshness · recurring cadence
Monthly refresh default12 scheduled releases a year, plus on-demand headroom
A$2,500US$1,650/ mo
Weekly refresh campaign-active~52 scheduled releases a year, plus on-demand headroom
A$4,500US$3,000/ mo

Deployed-model pricing shown as a guide — finalised per brand at your deployment.

Experimentation

Tests, sold as a program — with the honest no built in.

Incrementality tests aren't priced per test — one test is not a practice. The program is per brand: design as many tests as you like; a test counts when you approve and freeze it, and nothing is charged until its readout is released. A design your data can't resolve is refused before a dollar moves — and a refusal is never billed. Every test is sealed when you freeze it, and every result carries the date it stops being true.

Program — Standardup to 4 tests a year, 1 in flight
A$3,500US$2,350/ mo per brand
Program — Continuous the always-on postureup to 12 a year, 2 concurrent
A$6,000US$4,000/ mo per brand
Additional test beyond the program cap
A$3,000US$2,000
Program setupone-time, per brand
A$4,500US$3,000

Design and feasibility reads carry no meter. A test draws on your program's allowance when you approve and freeze it, and nothing is charged until its readout is released.

Scenarios & prescription

Core evaluates. Enterprise prescribes.

Outcome Studio is included in every tier, on every analysis — what-if scenarios inside certified range, refusals rendered live, your assumptions always labeled as yours. The line between tiers isn't a feature paywall; it's a claim boundary: every tier can evaluate a scenario, and the enterprise module is where the platform starts prescribing.

Prescriptive Suiteorg-level module
A$9,000US$6,000/ mo

Multi-scenario stress-testing, full multi-parameter sweeps, exports — and the allocator: allocation ranges with stability statements, because within your book's certainty, some splits are honestly indistinguishable, and we'll tell you so rather than hand you false precision. Allocator: in build. Available on Agency Scale and above, or multi-brand direct clients.

About the fully loaded cost of one analyst — for the work of three functions.

A subscription sits at a data analyst's base salary. The fully loaded cost — super, overheads, recruitment, the management of the role — runs well past it. Add a deployed model and the maths still holds: one analyst, plus a fractional data scientist.