Margin intelligence
Every deal has a path. Every gap has a cost.
Follow revenue from commercial decision to realised margin — and see exactly where value escapes. Leakage is not a bad deal; it is money that left without anyone making a decision.
The leak map
- Commit
- Transact
- Earn
- Settle
- Realise
-
Commit
Deal
Deal modelling
Price erosion & discount stacking
-
Commit
Contract
Terms become rules
Contract drift
-
Transact
Transact
Orders, shipments, sell-through
Identifier mismatch
-
Earn
Incentive
Rebates earned
Unclaimed entitlement
-
Earn
Promotion
MDF & co-op
Promotion & MDF spend leakage
-
Settle
Accrual
The liability posts
Accrual drift
-
Settle
Claim
Money is asked for
Unvalidated channel claims
-
Settle
Settlement
Cash actually moves
Deduction & dispute write-off
-
Realise
Margin
What you kept
Reporting latency
Every arrow is a handoff between systems — and every handoff is where value escapes
RevUpra Platform
Select any stage to open its leak
Indicative value at risk
$60M – $160M a year
Across 7 of the nine leak points, at the published benchmark ranges. The other 2 — accrual drift and reporting latency — are a variance and a delay, not a share of revenue. Multiplying either by a revenue figure would produce a confident number that means nothing, so they are excluded rather than guessed.
Read this as an order of magnitude, not a total. The ranges are quoted against slightly different bases — net revenue, channel revenue, purchase spend, MDF spend — so applying them to a single figure estimates the size of the problem rather than adding it up. Ranges are indicative benchmarks drawn from published channel-incentive and pricing research together with our own implementation experience. They vary widely by programme complexity, channel depth and data quality — treat them as the opening question in a diagnostic, not a guarantee.
The same problem, stated twice
Once for the person who owns the P&L, once for the person who owns the systems. Neither column is a summary of the other.
The financial problem
The variance you keep explaining as mix is mostly leakage.
- Entitlement earned and never claimed, because no system was watching the threshold.
- Claims paid without validation, because checking each line cost more than the line.
- Concession stacks nobody ever saw summed, approved one defensible step at a time.
- Accruals estimated rather than calculated, producing true-ups that distort periods months later.
The technical problem
Nothing fails, so nothing alerts.
- Unmatched transactions land in a suspense file with no owner — they do not error, they just stop existing.
- Agreement terms live in documents rather than as executable rules, so no event can fire when a threshold is crossed.
- The three prices for a transaction live in three systems and are never compared.
- Reporting aggregates live over transaction tables, so the answer takes hours and nobody explores.
How RevUpra closes them
Control at every join
Leak diagnostic
A structured assessment against the nine leak points using a quarter of your own data — not a benchmark deck.
Exception queues, not suspense files
Everything that fails to match becomes named, owned work rather than a silent drop.
Executable agreement terms
Rates, thresholds and windows as queryable fields the engine evaluates, so entitlement raises itself.
Line-level claim validation
Every submitted line checked against its authorisation; only exceptions reach a person.
Stack visibility at approval
The combined effective rate of every concession, shown before the last approval rather than after settlement.
Materialised financial reads
Channel and margin positions available in days, not weeks, so decisions land inside the period.
Benchmarks
What good looks like
Use this as a self-assessment. If you cannot produce one of these numbers for your own programme, that is itself the finding.
| Metric | Typical today | Target |
|---|---|---|
| Transactions matched to an agreement | 82 – 92% | >99.5% |
| Claim lines validated before payment | 20 – 50% | >99% |
| Vendor entitlement claimed in-window | 88 – 95% | >99% |
| Accrual variance at settlement | 10 – 30% | <2% |
| Days to gross-to-net close | 25 – 45 | <5 business days |
Two to four percent of the revenue flowing through incentive programmes is a common recovery once leakage is closed. The honest number for your business comes from a diagnostic against your own data.
The platform underneath
One platform. One commercial truth.
The leaks are not nine separate problems to buy nine tools for. They are one problem — the commercial decision and the financial record living in different systems — which is why closing them takes a single layer that spans the whole journey.
Commercial control
The decision, and the terms it becomes.
- Deal Modeler
- Contract lifecycle + e-sign
- Pricing engine
- Price protection
- Special agreements
Incentive control
Everything earned around the transaction.
- Vendor rebates
- Customer rebates
- Trade promotions (MDF / co-op)
- Ship & debit
- Channel incentives
Financial control
What reaches the ledger, and what settles.
- Accrual engine
- Claims & validation
- Settlement
- Usage-based billing
- e-Invoicing
Shared across all of it
- Governed AI agents
- Data layer
- Integration hub
- Audit trail
- UR-DEF reporting
- Tasks & approvals
- Custom apps
- Signet e-signature
Terminology
Terms on this page, defined
Plain-language definitions with the reason each one tends to leak.
- Revenue leakage ↗
- Money that was earned but never collected, or paid out when it was not owed, through failures of process and data rather than of commercial judgement.
- Pocket price ↗
- What you actually keep from a transaction after every on-invoice and off-invoice reduction.
- Cross-reference ↗
- Resolving a partner’s identifiers — product, customer, entity — to your own master records so transactions can be matched.
- Accrual ↗
- The liability or receivable recognised as a rebate is being earned, before it is actually settled.
See what RevUpra can recover for you.
Thirty minutes, tailored to your programmes. We walk an agreement through modelling, contracting, accrual, claim and settlement using examples close to your own — and model an indicative ROI against your volumes.