Business / ROI

Pricing Package Planner

Turn a service offer into a price that fits your monthly income target, billable capacity, delivery hours, variable costs, sales assumptions, margin floor, and simple tier options.

Step 1

Design the core offer

Work backward from target income, delivery capacity, costs, sales volume, and margin.

Planning estimate only. Results update locally in your browser; nothing is saved, sent, or added to the URL.

Try a preset:
Set planned clients to 0 to use leads × close rate.
Decision workspace

Package pricing details

Use the tier rows, capacity checks, watch-outs, and copyable summary before publishing the offer.

Educational business estimate only — not financial, legal, tax, accounting, or sales advice.

What this means

The core package covers the income target, business expenses, variable costs, and stated margin at the planned client volume.

Pricing summary

Copy a concise local-only summary for a pricing note or offer review.

Proposal-ready copy

Monthly strategy sprint: a focused package priced at $3,525 for a defined scope of about 18 delivery hours. Includes the agreed outcome, required client inputs, standard communication, and handoff. Start with a 50% deposit of $1,763, then tie the remaining payments to review and final handoff. Add rush work, extra revisions, or ongoing maintenance as separately priced options.

Revenue$14,100
Variable costs$1,600
After expenses$10,000
TierPriceHoursVariable costCapacity clientsEffective hourlyMargin
Lean$2,29113.5$3206.67$14686%
Core$3,52518$4005$17488.7%
Premium$4,75924.3$4803.7$17689.9%
Sanity checkEstimateHow to read it
Clients required for target4Monthly target income plus business expenses divided by contribution per package.
Pipeline clients4.9Qualified leads multiplied by close rate.
Capacity utilization80%Planned clients × package hours compared with monthly billable capacity.
Leads needed for target11.43Required clients divided by close rate.
Monthly income gap$0Profit after business expenses minus target monthly income.
Close-rate caseExpected clientsRevenueAfter expensesCapacity use
25%3.5$12,338$8,43870%
35%4.9$17,273$12,81398%
45%6.3$22,208$17,188126%
Capacity calendarDelivery hoursCapacity hoursOperating note
Week 11822.5Confirm scope, kickoff, and payment before delivery starts.
Week 21822.5Protect focus blocks and watch for revision creep.
Week 31822.5Protect focus blocks and watch for revision creep.
Week 41822.5Leave room for revisions, QA, invoicing, and sales follow-up.
Proposal add-onSuggested priceHoursVariable costEffective hourlyUse when
Rush delivery$8812.7$40$312Use only when the calendar can absorb priority turnaround without hurting current clients.
Extra revision round$3532.16$20$154Price separately so the core scope can keep a clear included revision limit.
Monthly maintenance$7053.6$60$179Position as light ongoing support, monitoring, or optimization after the initial package.
Payment milestonePercentAmountPurpose
Deposit / kickoff50%$1,763Reserve capacity, confirm scope, and start work.
Draft or midpoint approval30%$1,058Release after first review, prototype, or agreed midpoint.
Final handoff20%$705Collect before final files, launch support, or ownership transfer.

Package scope checklist

  • Outcome and deliverables are explicit enough that a buyer can say yes without guessing.
  • Included revisions, meetings, response times, and handoff assets are capped.
  • Client responsibilities, inputs, approvals, and blockers are written down.
  • Out-of-scope work, rush work, maintenance, and upsells have a clear price path.

Watch-outs

  • Validate demand, scope boundaries, payment timing, taxes, and revision load before publishing the offer.

Try next

  • Raise package hours until capacity breaks, then tighten scope or increase price.
  • Set planned clients to 0 to see what the current pipeline can support.
  • Compare the core package against your hourly and project-rate floor before sending the offer.

Formula

Expected clients from pipeline = qualified leads × close rate.

Assumed clients = planned clients when entered, otherwise expected clients from pipeline.

Income-based package price = ((target monthly income + monthly business expenses) ÷ assumed clients) + variable cost per package.

Margin floor price = variable cost per package ÷ (1 − target package margin).

Recommended package price = the higher of the income-based price and margin floor price.

Effective hourly contribution = (recommended price − variable cost per package) ÷ package delivery hours.

Capacity utilization = assumed clients × package delivery hours ÷ monthly billable capacity.

Add-on sketches use simple percentages of the core price, package hours, and variable cost so rush work, extra revision rounds, and maintenance can be priced separately instead of silently expanding scope.

Payment milestones split the core package into a 50% kickoff deposit, 30% draft or midpoint payment, and 20% final handoff payment.

Worked example

If the target monthly owner income is $10,000, monthly business expenses are $2,500, planned clients are 4, and variable cost is $400 per package, the core package needs to be about $3,525. With 18 delivery hours per package and 90 billable hours available, that uses 80% of delivery capacity and contributes about $173.61 per hour after variable costs.

Sources and methodology

This planner uses standard contribution-margin, capacity-planning, and sales-conversion math. It keeps the assumptions explicit so scope, price, client count, and lead volume can be challenged before an offer goes public.

Assumptions and limitations

This calculator is a planning aid. It depends on your assumptions and may not include taxes, local rules, payment timing, refunds, discounts, financing costs, demand risk, client behavior, scope creep, subcontractor availability, or business-specific edge cases.

FAQ

Is this different from an hourly rate calculator?

Yes. An hourly rate calculator finds a baseline rate. This planner turns a packaged offer into a price, then checks whether the package volume and delivery hours fit your capacity.

Should planned clients or close rate drive the price?

Use planned clients when you already have a realistic monthly sales target. Set planned clients to 0 when you want the planner to use qualified leads multiplied by close rate.

Why include a margin floor?

The income-based price can look acceptable while variable costs eat too much of the sale. The margin floor prevents the package from falling below your target gross margin after per-package costs.

Are the tier prices final proposal prices?

No. Treat them as a tier sketch. Adjust scope, deliverables, positioning, and risk before publishing Lean, Core, or Premium offers.

Use it well

Get a better answer from the Pricing Package Planner

  1. Start with the example values to see how the tool behaves.
  2. Swap in your own numbers, even if they are rough first-pass estimates.
  3. Change one input at a time so you can see what actually moves the result.

What the result means

Use the result as a business gut-check: does the money, time, and risk you put in look worth the return you expect to get back?

How to use it

If the answer looks strong, test it with a worse sales, adoption, margin, or cost assumption. If it still works, the case is healthier.

What can change it

Big ROI, LTV, or payback numbers can be fake-comfort if the inputs are guesses. The safest move is to ask, “what would make this number break?”

Example to try

Price the core package first, then test a lighter offer and a premium offer against delivery hours, close rate, and monthly capacity.

Assumption to challenge

Capacity is often the constraint. A profitable package can still fail if onboarding, revisions, or client communication consume the margin.

Verify next

Define scope boundaries, revision limits, client inputs, rush fees, support terms, and when custom work should move out of the package.

Quick checks

What should be fixed before publishing a package price?

Scope, deliverables, revision limits, client inputs, turnaround, support, and change-order rules should be clear before the number goes public.

Why model close rate?

Close rate connects price to sales volume. A premium package can work with fewer clients, but only if enough qualified buyers still say yes.

Common uses

  • Package a freelance or service offer.
  • Check client volume against delivery capacity.
  • Sketch Lean, Core, and Premium pricing tiers before publishing.

Common questions

Is the Pricing Package Planner private?

Yes. CalcShelf calculators run without an account, do not save calculator entries, and do not put raw inputs into shareable URLs or analytics events.

How accurate is the Pricing Package Planner?

It is a planning model for business decisions. The math can be solid while the outcome changes if sales volume, adoption, margin, costs, or timing move.

What should I check after using the Pricing Package Planner?

Verify the revenue, margin, cost, capacity, and timing assumptions before approving spend or changing price.

Which calculator should I try next?

Use the related calculators below to cross-check the same decision from another angle before you act.

Method behind the estimate

Business calculators use standard ROI, payback, gross-margin, CAC, LTV, and scenario-analysis formulas with user-entered assumptions.

Why the detail matters

Best used as planning models. The detail tables are designed to expose which assumption changes the decision, not to certify a forecast.

Privacy guardrail

Your calculator values are for you. CalcShelf does not require an account, save calculator entries, put your numbers into shareable URLs, or use raw inputs as analytics events.

Copy or print safely

Use any copy, print, or worksheet controls as local handoff tools for your own notes, supplier calls, lender questions, or implementation checklist. They are there to help you explain the result to a human.

Before acting

Treat the result as a decision draft, not a verdict. Recheck the source numbers, run a downside case, and verify the real-world rule, quote, label, or spec that controls the final answer.

Last reviewed: May 11, 2026. See methodology and editorial policy for formulas, assumptions, rounding, review approach, and limitations. For real budgets, contracts, taxes, or investments, verify the inputs before acting.