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
A clearer next move starts with the question.
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.
THE DECISION, MADE CLEAR
Which accounts should we contact this week?
Start withEligible accounts and contact capacity
CompareA simple reorder rule with a tested score
DecideWho, when, what — and who to leave alone
ModelWise turns analysis into an action you can review.
Small teams. Specific questions. Measured decisions.
Where we help
The question comes first.
The model follows.
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.
01 / 06
A question we can help answer
Which customers or accounts should we reach this week?
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.
Useful starting data
Order history, permissions, contact logs, product and margin data.
First useful output
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
Small stories about real kinds of choices.
These short films use fictional businesses and illustrative numbers. They show a possible decision process, not client work or measured results.
Illustrative case · B2B audience
400 cafés. Two reps. Who gets the call?
A roaster starts with reorder timing and account history, then tests a focused call list against the usual approach.
Illustrative case · Retention
When would a refill reminder actually help?
A pet-supply shop considers each product's buying rhythm before sending the same reminder to everyone.
Our approach
A useful answer fits the way you work.
We start with one named decision and the people who will use the answer. The work is scoped before analysis begins.
“What changes on Monday if we learn this?”
01
Frame the decision
Agree on the action, timing, constraints, and what a better decision would look like.
02
Check the data and the baseline
Review the available exports, definitions, and gaps. Compare a simple rule before adding complexity.
03
Hand over a clear next step
Get a plain-English decision memo, reproducible analysis, and a practical pilot or implementation plan.
A focused starting point
Start with one decision.
A bounded first project helps us learn whether the data supports the decision you need to make.
Decision DiagnosticFrom $1,000
One business question, one agreed dataset or sample, a transparent baseline, and a plain-English decision memo with prioritized next steps.
- Decision and data-quality review
- Baseline analysis and assumptions
- Action memo and pilot plan
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
What decision is on your desk?
Write a short project brief you can copy and email to info@modelwise.tech 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.