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The BX3 decision system

What's happening in the business?

Ask it in plain words. It hunts through your numbers for what changed, picks the analysis and the data that answer it, and runs it against your own history. Expert review signs off every result before it reaches you.

See how it works
What's happening in the business?
Ask
Explain what happenedPredict what's nextAllocate where it paysSimulate a what-ifTest what works
Pulling the numbers
  • Comparing the last 13 weeks with the same weeks last year
  • Totalling revenue across all 1,840 stores
  • Splitting the same comparison by region
  • Setting aside cuts below the size floor
  • Ranking each depth by movement beyond size
North × Skincare · conversionWHICH CUTS MOVED DIFFERENTLY
Where is narrowed. Next: was it the mix of stores, or how each one converted?
Conversion / Rate BridgeRecommended
Periods to compareLast 13 weeks against the same weeks last year
Break it down byStore format
The rateSkincare conversion
Every group has enough rows to compare.
Computing the bridge
In expert review
Verified by expert review before it reaches you.
Your bridge is releasedReleased · verified by expert review
Why did North Skincare conversion fall?
Shoppers shifting between formats6%
Each format converting worse94%
About 94% of the fall came from how each store format converted.
Outcome StudioYour scenario · built on the released result
Mall Skincare conversion, your assumption7.4%
North Skincare conversion would have been
7.6%
and about $0.4M more Skincare revenue over the same 13 weeks.
Test what works
Skincare 10% cheaper in mall stores
It can separateabout 1.1 points, give or take 0.3: an early estimate, which the design firms up before you commit.
Held back48 of the 96 mall stores, chosen by BX3.
The stores, the split, the dates and the measure, sealed before the test starts.
Record · what was asked, and what you decided
Why did North Skincare conversion fall?
Conversion / Rate Bridge · 19 SepReleased
Decided: run the mall price test before changing the range.
Every question, its answer and the decision it led to, kept where the team can find it.
Illustrative · demo data
One system

Not three tools. One system that finds the question, answers it and keeps the record.

Most teams pay for a dashboard, an analyst and a data science bench, and still stitch the answer together by hand. The BX3 decision system does the whole journey: from “something's off” to a decision you can defend.

01

Ask

Describe what you're seeing, in your own words.

02

Hunt

It searches every cut for what moved differently — or walks you there one step at a time.

03

Recommend

It names the analysis that answers it, the variables it needs, and why it fits.

04

Check

It checks your data can support it — before anything runs.

05

Run

The model runs against your own history, and stops rather than ship a number it can't stand behind.

06

Review

A data science desk verifies every result before it reaches you.

07

Explore

Move an assumption in Outcome Studio, or design a test to prove what works.

08

Decide

The decision lands on the Record, next to the evidence behind it.

What it answers

Every question is one of five.

Explain what happened

Decompose the number before anyone has to defend it. Rate or mix, driver by driver, reconciled exactly to the total.

Predict what's next

Forecasts with honest intervals. Scores with a grade attached. Certified against your own history before they reach you.

Allocate where it pays

Response curves and saturation — where the next dollar works hardest, and where it stops working.

Simulate a what-if

Move the assumption and watch the number move — inside certified range, and refusing to guess past it. Your scenario is labeled as yours; certified numbers stay labeled as ours.

Test what works

The one place the word “caused” is earned — a designed test, sealed when you freeze it. Or refused before you spend, when your data can't resolve it.

Built for your industry, and your team

The questions your team is already asking.

“Why did our net revenue retention move this quarter?”
Conversion / Rate Bridge
“Which accounts won't renew at their date?”
Contract Churn Risk
“Which trial accounts are most likely to convert?”
Lead Scoring
“Where is ARR heading next quarter?”
Revenue / Metric Forecast
Any size of company

It's the length of your data, not the size of your company.

What matters is history: most analyses need two to three years of it, with real movement in the numbers. Not sure what yours can support? Check your data before you buy. It's free.

How much history it needs
Conversion / Rate BridgeTwo periods to compare
Retention & decay curves12 to 24 months, by horizon
Anomaly / Outlier ScanAbout two and a half years
Revenue / Metric ForecastAbout two and a half years
Getting started

Switching shouldn't mean a data project.

Most analytics vendors take weeks to connect. That's why teams stay with tools they've outgrown. With BX3 you connect once: we read your data, show you exactly what it can support and what stands in the way of the rest, then ask only the questions those analyses need.

01

Connect

Point BX3 at your data.

02

Read

We find your customers, your dates and how often each source arrives.

03

See what's possible

Every analysis your data supports, and what would unlock the rest.

04

Answer a few questions

Only the ones those analyses need, each asked once.

How the certification is built

Tested before it's trusted.

Locked thresholds

Every bar is set before results are evaluated — never adjusted to let a marginal model pass.

Proven refusal

Every gate is stress-tested on data constructed specifically to fail before it is trusted when it passes.

Halts are protection

When a run stops, the system is working — a refusal is a guarantee, not an error.

Certified

Proven on a realistic, client-like book, run end to end through the deployed system — and re-certified on your data before anything releases.

The certification

How the scores earn trust

Specimen · illustrativeCertified · Grade C
Grade
C
out-of-time rolling-origin tier
Ranking skill
0.74
AUC — who ranks above whom
Calibration
2.9%
tracks observed frequency
Origins
24
out-of-time backtest windows
A 0.3 score means the outcome occurred about 30% of the time for customers scored at that level. Certified only above a floor of observed events — below it, the run stops rather than certifies.

About the fully loaded cost of one analyst — for the team it replaces.

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. The subscription is paid for out of the headcount it frees.

Not a dashboard you hope is relevant.Not a custom build you wait a quarter for.

See pricing