OpenRights Entertainment Rights & Catalog Intelligence

Free Template

Royalty Statement Cleanup Workbook

Normalize messy platform royalty CSVs (Netflix, Amazon, Apple) into a canonical title/territory/period schema. Field mapping sheet documents every transform.

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What’s Included

  • Raw Statement Paste — a permissive 10-column input tab; paste whatever layout the platform gave you.
  • Canonical Output — 7 columns: Canonical Title, ISO Territory, Period (YYYY-Qn), Gross USD, Net USD, FX Rate, Platform. Formulas pull from the raw paste.
  • Field Mapping — reference sheet listing how each platform’s columns map to the canonical schema.

How to Use

  1. Paste the platform’s CSV into Raw Statement Paste (column order doesn’t matter — the formulas use named references).
  2. Set the Platform dropdown on row 2 so formulas pick the right mapping.
  3. Open Canonical Output — one normalized row per source row.
  4. Save a copy of the output as CSV and feed it into the Royalty Reconciliation template.
  • Clean Royalty Statements from Platforms (/tutorials/clean-royalty-statements-from-platforms)
  • Audit Royalty Calculations vs. Contract (/tutorials/audit-royalty-calculations-vs-contract)

Common Pitfalls

  • Platforms rename columns between quarters. Netflix has changed “Territory” → “Country” → “Country ISO” at least twice. Re-check the mapping every quarter before trusting the output.
  • Period encoding. “Q1 2026”, “2026-Q1”, “Jan-Mar 2026”, and “20260331” all mean the same thing. The workbook normalizes to YYYY-Qn; confirm yours matches before reconciling.
  • FX rate source. The template uses a static FX table. For audit-grade work, replace with the rate the contract specifies (month-end ECB, monthly average, etc.).

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