Methodology
Useful, honest, and clearly labelled.
WillitWishlist helps developers make better marketing decisions without pretending that private Steam metrics are publicly knowable.
Steam metadata, public store-page information, visible review aggregates, public reviews where allowed, tags, prices, release dates, supported features, and publicly visible player signals from approved sources.
Wishlist potential, sales ranges, revenue, retention proxies, and competitive positioning are estimates. They should be used for planning, not as guaranteed facts.
True retention and wishlist conversion are usually private. The product uses proxies such as review themes, playtime-at-review, achievement completion, demo availability, current-versus-peak players, and complaint patterns.
Comparable games are matched by tags, genre, subgenre, price, release window, review score, review count, player signals, feature keywords, multiplayer status, visual style, and positioning.
The report summarises review themes, repeated praise, complaint patterns, store-page copy, and similar-game lessons. It should label the signals used and avoid pretending estimates are exact.
Low confidence means limited input. Medium means description, tags, audience, trailer, price, or competitors were supplied. High means the developer provided store assets, Steam page, wishlist data, demo data, analytics, or current player/review data.
