Product maturity

Know exactly what this page represents.

Multi-user
What you can evaluate here

A separate multi-user deployment exists. The public site shows a controlled demonstration and product information rather than the live environment.

What a casino can request

A scoped server deployment with environment review, approved access design, data-flow controls, pilot acceptance criteria, operator training, and a support plan.

Management control

The tool works for the GM—not the other way around.

You remain in control. I provide clearer information, faster follow-up and practical tools that help you make and defend your decisions.

The system does not run the casino. It helps management see operational issues earlier and respond with better evidence.
Tool role
Prepare, organize, compare, and explain information for promotion economics and approval review.
Management role
Check the evidence, choose the action, approve the decision, and own the result.
Operating boundary
No automatic approval, discipline, payout, surveillance conclusion, policy change, or live-floor decision.

Test promotion economics before budget is committed—and learn from actual results.

Casino problem

A promotion can look successful while full cost, baseline behavior, incremental value, and cannibalization remain unclear.

Management outcome

A transparent business case with scenario assumptions, approval evidence, forecast-versus-actual reconciliation, and management reporting.

3–6 month implementation

Adapt the workflow to your property, validate it with approved data, train the users, and hand over a controlled management process.

  • Map current inputs, roles, approvals, and exceptions
  • Configure and test the workflow with safe or approved data
  • Train users and hand over reporting, controls, and operating guidance

The public pages use fictional or demonstration data. A real implementation is adapted to the casino’s own processes, authority rules, data sources, and management controls.

‹ BackPromo ROI Predictor product video

See the promotion ROI workflow in action

Watch the fictional workflow move from promotion planning and assumptions through scenario review, approval, actual-result reconciliation, and management reporting. The video demonstrates the working product workflow with sample data; it does not represent a live casino deployment or guaranteed commercial result.

English narration · 1 minute 30 seconds · 1080p

Casino promotion decision support

Know the financial case before the promotion goes live.

Casino Promo ROI Predictor turns promotion assumptions into an explainable recommendation, then carries the approved scenario through testing, launch, actual-result reconciliation, management reporting, and closure.

Explainable formulasRole-based reviewActual vs forecastAudit trail
Formula v1.0.0Deterministic core model
One controlled recordFrom plan to closure

Why it matters

Move promotion decisions beyond cost-only spreadsheets.

Estimate whether an offer is genuinely incremental, expose weak assumptions before launch, and preserve the evidence management needs after the campaign finishes.

Protect promotional margin

Combine redemption cost, fixed marketing cost, operating cost, expected play, and cannibalization into one visible financial case.

Separate lift from subsidy

Model existing-player lift and incremental-player GGR separately instead of treating every redeemed offer as new value.

Keep one decision record

Version assumptions, approvals, tests, evidence, actuals, variance review, follow-up, and closure without losing the approved scenario.

Learn from actual results

Compare projected and realized outcomes, identify recurring waste, and strengthen future promotion assumptions with a searchable history.

Product tour

A connected workflow from idea to management review.

Choose a workspace to see how the application supports each decision stage.

Management overview

See the work queue and financial exposure first.

The role-aware dashboard opens with the decisions that need attention: incomplete evidence, high-risk cost exposure, ageing workflows, overdue actuals, and the current action queue.

  • Role-specific workbench for each reviewer
  • Portfolio-level promotion performance indicators
  • Best, worst, and likely-waste views

Explainable calculation model

Every recommendation can be traced back to entered assumptions.

The deterministic core remains functional without AI. Optional AI support may explain results, question assumptions, identify risks, suggest test considerations, and draft management wording—but it cannot approve, reject, overwrite, or delete records.

Current demonstration currency: US dollars. Currency and property configuration should be finalized during controlled deployment.
01Expected redeemersEligible players × adjusted uptake
02Incremental valueExisting-player lift + incremental GGR
03Total costRedemption + marketing + operating cost
04Net and ROI(Incremental value − cost) ÷ cost

Role-aware by design

Give each reviewer the controls and evidence relevant to the decision.

Marketing ManagerBuilds scenarios, manages tests, follows workflows, and reviews portfolio exceptions.
Finance ReviewerReviews cost, actuals, variance, reconciliation, and supporting evidence.
General ManagerReviews the management case, risk, approvals, and closure status.
AuditorReads controlled records, reports, and the immutable audit trail without operational editing.
AdministratorManages named users, roles, sessions, security controls, and operational configuration.

Bounded product scope

Purpose-built for promotion economics and governance.

Included

Planning, deterministic ROI, risk flags, scenario versions, controlled tests, calendar, history, approvals, actuals, reconciliation, reports, exports, follow-up, security, and audit evidence.

Not positioned as

A casino management system, player-tracking system, CRM, campaign-delivery platform, accounting ledger, AML system, regulatory reporting platform, HR suite, surveillance system, or incident-management product.

Controlled adoption

Evaluate the workflow with fictional data before connecting any operational source.

A controlled implementation review should confirm the property context, currency, roles, formulas, security controls, backup and recovery, accessibility, and reconciliation rules before real-data authorization.

Discuss 3–6 month implementation

Enlarged application screenshot