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Structured methodology As of 2026-05-08

How Marketplace Listing ROI works

What the tool assumes, what data it pulls from, and what it cannot tell you.

Education · General business information, not legal, tax, or financial advice. Editorial standards Sponsor disclosure Corrections

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

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.
Business planning estimates — not legal, tax, or accounting advice.