Plan modelling studio
Iterate plan variants with reusable templates, a granular rule engine, and guided workflows.
- Drag-and-drop compensation components
- Validation checks for caps and qualifications
- Scenario snapshots for stakeholder reviews
The Cloud MLM Software compensation toolkit helps you design, simulate, and stress-test binary, unilevel, matrix, monoline, board, generation, and hybrid pay plans before launch.
A pay plan is four stacked layers: personal volume, group volume, rank qualification, and the bonuses paid on top. The toolkit models all four against your own data, so a change is priced before the field ever hears about it.
21 compensation plan types supported on the platform, from binary and unilevel to board and hybrid
Every plan update answers to three audiences at once: the finance team that funds it, the compliance team that defends it, and the field that has to believe it. The platform is licensed once (see licence pricing), so modelling a change costs you time rather than a new subscription tier.
Model, compare, and calibrate plans with your own data before any change reaches the field.
Keep an audit-ready record so legal, finance, and the board sign off on the same version of the plan.
Give distributors and leaders a plan they can explain, in the language and currency they earn in.
The 4 rungs from the ladder above, bottom to top. An error on a lower layer is inherited by every layer that sits on it, which is why modelling starts at the base.
What did this distributor sell themselves?
The base every other layer is measured against. Get the product, price, and refund treatment right here or every rung above it inherits the error.
What rolls up through the genealogy?
Leg definitions, carry-over, flushing, and compression. This is where binary, unilevel, and matrix plans stop behaving alike.
Who holds a rank this period, and who slips?
Thresholds, maintenance rules, and grace periods. Model the period a leader misses qualification before the field discovers it for you.
What is paid on top, and what caps it?
Matching bonuses, pools, and promotions, plus the caps and breakage that keep the total payout inside the margin you signed off.
Which plan family you stack these layers on is a separate decision. The MLM plan library sets out how each one behaves before you model the numbers.
A 4-stage delivery model that keeps legal, finance, product, and field leadership working from the same version of the plan.
Capture objectives, constraints, and field sentiment so the modelling starts against the right question.
Build multi-plan simulations in the modelling studio and read the financial, behavioural, and compliance impact of each.
Run the cross-functional reviews, control checks, and change documentation that secure sign-off.
Deploy the plan with enablement assets, live dashboards, and a standing review loop.
Each toolkit engagement uses these 5 areas of the platform. They ship with the licence, so modelling and production payouts run on the same rule engine.
Iterate plan variants with reusable templates, a granular rule engine, and guided workflows.
See the profit, payout, and breakage consequences of a plan change before it launches.
Run production payouts with controls, multi-ledger management, and exception handling.
Centralise policy management, evidence retention, and regulator correspondence.
Serve each leader and distributor the compensation view that applies to them, on any device.
Once the plan is agreed, the runs behind it are automation rules. The automation playbook covers how those rules are written and governed.
Ask for any of these 3 documents and we send them with the modelling walkthrough. No form wall, no drip sequence.
Board-ready summary covering financial targets, risk posture, and how the toolkit shortens a plan change.
Spreadsheet templates for cohort analysis, breakage tracking, and the KPIs this methodology reports on.
Checklist mapping compensation changes to FTC, DSA, GDPR, and regional tax obligations, with evidence samples.
Yes. Cloud MLM Software supports 21 compensation plan types, and the modelling studio handles binary, unilevel, matrix, stair-step, and hybrid combinations against shared product, rank, and promotion libraries.
No. We profile and normalise your existing sources first. Where records are inconsistent, we set baselines through cohort sampling and staged data remediation rather than waiting for a perfect export.
The operations hub runs dual approvals, variance alerts, and evidence archiving on every cycle, so finance and compliance sign off against a record rather than a recollection.
Bring the plan you run today and the change you are considering. We walk the four layers with you and show what each one does to payout cost before anything is committed.