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Methodology

Transparent formulas, clear recommendations, monitored decisions.

Clear Margins is built for the middle moment between a rough spreadsheet and a fully governed finance model: when an advisor needs to explain a money decision clearly before the client commits cash.

Principles

What Clear Margins is designed to do.

The formula should be visible

Every recommendation starts from transparent inputs and readable formulas. Advisors can show what changed instead of asking clients to trust a black box.

The output should recommend a decision

The core answer is approve, approve with guardrails, reject, or needs better data. Numbers are supporting evidence, not the final deliverable.

The explanation should be client-readable

Client portals and reports prioritize plain-English recommendations, assumptions, cases, margin impact, runway impact, advisor notes, and guardrails.

The workflow should stay lightweight until live data is worth connecting

Manual entry and CSV uploads work first. Live connectors, API keys, and automated monitoring belong in Scale workflows when the operating loop is recurring.

Decision loop

How an answer becomes a client-ready decision record.

  1. 01
    Capture raw assumptions

    Record the actual inputs behind the decision: price, COGS, discount, spend, ROAS, returns, lead time, cash, burn, utilization, or revenue coverage.

  2. 02
    Model scenarios

    Compare base, upside, downside, and stress cases so the client can see what has to go right and what breaks first.

  3. 03
    Run policy checks

    Flag margin floor, ROAS floor, volume-lift realism, inventory risk, runway floor, data confidence, and stakeholder approval risk.

  4. 04
    Set guardrails

    Attach thresholds, review windows, rollback rules, missing-data requests, and monitoring triggers to the recommendation.

  5. 05
    Capture approval

    Preserve approve, request changes, reject, or needs-better-data status against the exact proposal version.

  6. 06
    Monitor the baseline

    Launchable approved decisions become active baselines. Actuals can then be compared against the locked recommendation.

Core checks

The formulas are intentionally understandable.

The product chains familiar operating metrics into a decision workflow. The goal is not to hide complexity; it is to show only the complexity needed to make the next call.

Contribution margin

Revenue minus product cost, fulfillment, refunds, discount cost, payment fees, and other variable costs that move with the decision.

Break-even ROAS

Revenue divided by contribution after variable costs. This becomes the paid media floor before spend can scale.

Discount lift hurdle

The extra unit volume needed to replace contribution profit lost to a lower selling price.

Reorder point

Average demand times lead time plus safety stock, adjusted for campaign lift when the decision includes a promo or ad scale.

Runway impact

Cash balance divided by monthly burn after the proposed decision, including spend, inventory, or fixed-cost changes.

Data boundaries

What happens to inputs and saved workflows.

  • BoundaryFree calculator inputs stay browser-local unless you choose a paid workflow that saves reports or scenarios.
  • BoundarySaved scenarios preserve raw assumptions, source context, outputs, and guardrail summaries.
  • BoundaryAgency workspaces can store client notes, report drafts, approval status, share links, and decision history.
  • BoundaryScale workflows can add connected metrics, API keys, audit trails, alerts, and governed monitoring.
  • BoundaryClear Margins is decision support, not legal, tax, accounting, investment, or financial advice.

See it applied

Review the methodology inside a concrete client report.