Illustrative case · Pricing
What is the most this book is worth paying for?
A used-book buyer sets a purchase ceiling after expected sale value, costs, and required contribution.
For growing commerce and B2B teams
We turn customer, product, sales, and operations data into a practical way to decide what to do next. One decision, a useful baseline, and a plan your team can use.
Where we help
Sometimes the best first model is a transparent rule. We choose the method after we understand the decision, the data, and the cost of being wrong.
A question we can help answer
Define the eligible pool, then choose who to contact, a useful time, and a relevant message. A contact limit and a no-contact option belong in the decision.
Order history, permissions, contact logs, product and margin data.
A baseline contact policy and a plan to test whether it creates additional value.
For agencies and app vendors, we can scope the same decision for a merchant or customer-success team.
See the decisions
These short films use fictional businesses and illustrative numbers. They show a possible decision process, not client work or measured results.
Illustrative case · Pricing
A used-book buyer sets a purchase ceiling after expected sale value, costs, and required contribution.
Illustrative case · B2B audience
A roaster starts with reorder timing and account history, then tests a focused call list against the usual approach.
Illustrative case · Retention
A pet-supply shop considers each product's buying rhythm before sending the same reminder to everyone.
Our approach
We start with one named decision and the people who will use the answer. The work is scoped before analysis begins.
Agree on the action, timing, constraints, and what a better decision would look like.
Review the available exports, definitions, and gaps. Compare a simple rule before adding complexity.
Get a plain-English decision memo, reproducible analysis, and a practical pilot or implementation plan.
A focused starting point
A bounded first project helps us learn whether the data supports the decision you need to make.
One business question, one agreed dataset or sample, a transparent baseline, and a plain-English decision memo with prioritized next steps.
Scope, timing, data access, and final price are agreed in writing. Custom models, integrations, campaign execution, and live experiments are scoped separately. No commercial result is guaranteed.
Prepare your questionYour first step
Write a short project brief you can copy and share when you are ready. This page does not submit or store what you type.
A good starting question names the choice, the timeframe, and what information you already have.