Forgiven 
Steam audience research identifies the players most likely to understand and value a game. It should shape the product and store page before the team buys traffic or commits to a broad launch claim.
Describe the audience through games
List direct and adjacent titles, mechanics, communities, creators and vocabulary. Avoid relying only on age or broad demographic labels.
Study store evidence
Record tags, price, presentation, language support, update history and review themes across a balanced comparable set. Do not present public owner or revenue estimates as verified fact.
Observe target players
Show representative footage or a demo to people who buy similar games. Ask them to explain the genre, action and expected scope in their own words. Watch where they become confused or engaged.
Use reviews as qualitative evidence
Sample positive, mixed and negative reviews by date and playtime. Tag expectations around onboarding, controls, difficulty, content, performance, value and support.
Test the store promise
Compare reactions to capsule, trailer opening, screenshots and short description. Change one major framing at a time. Use accurate tags under Valve’s Steamworks guidance.
Connect campaigns
Use unique UTM links for external audiences and review Steamworks attribution limits. Separate reach from qualified visits, demo activity and later purchases.
Turn research into scope
Document the audience, essential genre expectations, differentiator, unsupported assumptions and decisions. Refresh after demos and events. The outcome is a game and page that the intended audience can recognise, not a generic market-size statistic.
