1. Scope
Computes net monthly margin and break-even visitor count for marketplace listings (GPT Store, Anthropic plugins, Vercel templates, generic) given fee structure and traffic assumptions.
2. Inputs and outputs
Inputs
- listingFeeMonthly number ($)
- revenueSharePercent number (0–100)
- expectedMonthlyVisitors number
- conversionRatePercent number (0–100)
- avgRevenuePerUserMonthly number ($)
Outputs
- netMonthlyMargin
Gross revenue − fee − listing fee.
- breakEvenVisitors
Visitors required to net zero.
Engine source: src/lib/marketplace-listing-roi/engine.ts
3. Formula / scoring logic
conversions = visitors × conv%/100
gross = conversions × ARPU
fee = gross × share%/100
net = gross − fee − listing_fee
break_even_visitors = listing_fee / (ARPU × (1 − share%/100) × conv%/100) 4. Assumptions
- All marketplace fees are taken on gross revenue.
- Conversion rate is constant across visitor segments.
5. Data sources
- OpenAI GPT Store revenue program as of 2026-04
- Anthropic plugin marketplace docs as of 2026-04
- Vercel templates as of 2026-04
6. Known limitations
- Marketplace pricing changes; verify before committing.
- Doesn't model attribution of any visitors that came from your own marketing — credit those separately.
7. Reproducibility
Input
$29 fee, 15% share, 5000 visitors, 2% conv, $19 ARPU.
Expected output
100 conversions, $1900 gross, $285 fee, net $1586, break-even ≈ 100 visitors.
8. Change log
- 2026-05-08 methodology first published. Marketplace data snapshot 2026-04.
Worked example
Run live against the same engine this site ships
(/engines/marketplace-listing-roi.js).
The inputs and outputs below are recomputed on every build and
independently re-verified in CI — they are never hand-authored.
Input
- tool
- marketplace_listing_roi
- listing_fee_monthly
- 29
- revenue_share_percent
- 20
- expected_monthly_visitors
- 5000
- conversion_rate_percent
- 2
- avg_revenue_per_user_monthly
- 19
Output
- monthlyConversions
- 100
- grossMonthlyRevenue
- 1900
- marketplaceFeeAmount
- 380
- netMonthlyMargin
- 1491
- netMarginPercent
- 78.47
- breakEvenVisitors
- 96
- breakEvenConversions
- 2
Frequently asked questions
- What does the Marketplace Listing ROI calculate?
- Computes net monthly margin and break-even visitor count for marketplace listings (GPT Store, Anthropic plugins, Vercel templates, generic) given fee structure and traffic assumptions.
- What inputs does the Marketplace Listing ROI need?
- It takes 5 inputs: listingFeeMonthly, revenueSharePercent, expectedMonthlyVisitors, conversionRatePercent, avgRevenuePerUserMonthly. Outputs returned: netMonthlyMargin, breakEvenVisitors.
- What formula does the Marketplace Listing ROI use?
- The exact computation is: conversions = visitors × conv%/100; gross = conversions × ARPU; fee = gross × share%/100; net = gross − fee − listing_fee; break_even_visitors = listing_fee / (ARPU × (1 − share%/100) × conv%/100)
- Can I verify the Marketplace Listing ROI with a worked example?
- Yes. With $29 fee, 15% share, 5000 visitors, 2% conv, $19 ARPU. the tool returns 100 conversions, $1900 gross, $285 fee, net $1586, break-even ≈ 100 visitors.
- Where does the Marketplace Listing ROI get its benchmark data?
- Reference data is sourced from: OpenAI GPT Store revenue program (as of 2026-04); Anthropic plugin marketplace docs (as of 2026-04); Vercel templates (as of 2026-04).
- What can the Marketplace Listing ROI not tell me?
- Known limitations: Marketplace pricing changes; verify before committing. Doesn't model attribution of any visitors that came from your own marketing — credit those separately.