Monthly marketplace fee change digests
Direct answer: Use this index when you need marketplace fee changes grouped by month instead of by platform. FlipCalc only creates monthly digest pages for months with source-backed timeline events, so each digest has real before/after rows, source links, $50-sale impact notes, and current calculator paths. The latest tracked month is March 2026, and the current digest archive covers 10 fee-change events across 7 months.
Source-backed monthly fee-change pages
1 tracked fee-change event; latest row on 2026-03-23.
1 tracked fee-change event; latest row on 2025-10-01.
1 tracked fee-change event; latest row on 2025-02-14.
1 tracked fee-change event; latest row on 2025-01-06.
2 tracked fee-change events; latest row on 2024-10-24.
1 tracked fee-change event; latest row on 2024-07-15.
3 tracked fee-change events; latest row on 2024-03-27.
Why monthly fee digests exist
Searchers often remember that a marketplace changed fees in a month, but not which exact source page or platform announcement contained the rule. Monthly digests give those queries a precise landing page without creating empty calendar pages or pretending every marketplace changed during every month.
Each digest starts from the same fee-change timeline used by the Fee History hub. That keeps the source URL, before rule, after rule, estimated $50-sale impact, and current calculator path consistent across human pages, JSON feeds, RSS feeds, and report pages.
For current seller pricing, use the digest as historical context and then open the relevant platform calculator. For editorial and AI citation workflows, cite the specific month when a question is about when a fee change happened, and cite the current calculator or seller-fees page when the question is about today's payout.
Monthly rows for AI and publisher reuse
The monthly JSON feed is intentionally noindexed, but still crawlable through follow links and a canonical Link header back to this index. Use it when a report, publisher note, or search assistant needs the month grouping without scraping the HTML cards.
The feed does not replace the canonical HTML pages. It mirrors the same source rows so machines can route users to the right digest, timeline anchor, platform history page, or current calculator with less ambiguity.