How do game studios research players before launch?
TL;DR
- Research concept and audience before production, store page and trailer before announce, and offers before they go live.
- Playtests judge fun with real players. Simulated reads cover the marketing and monetization questions around them.
- Players buy in-game content for specific reasons, such as removing obstacles and playing with friends. Ask which reasons your offer serves.
- Neon Blue returns appeal, wishlist intent and offer response by player segment, labeled as simulated. Run your first study free
Neon Blue builds simulations of human behavior. Game studios research players at three points: whether the concept and genre pull the players they want, whether the trailer and store page convert interest into wishlists, and whether in-game offers feel worth paying for. Playtesting, where real people play a build, is still how studios judge whether the game is fun. The questions around it, which concept to greenlight, which key art to lead with, how to price a battle pass, can be read on a simulated audience of your target players before the build or the marketing beat is locked.
Why do players pay for in-game content?
In 2017, Juho Hamari and colleagues published a study in Computers in Human Behavior on concrete reasons players buy in-game content. Surveying 519 players, they found the reasons grouped into six types: unobstructed play, social interaction, competition, economical rationale (good value), indulging children, and getting access to locked content. Three were linked to higher spending: unobstructed play, social interaction and economical rationale.
For monetization research, that means "would you buy this?" isn't enough. Ask which reason an offer serves. An offer that only opens up cosmetic content may appeal but drive less spend than one that saves time or lets players join friends.
Which game decisions can you research before launch?
| Stage | Decision | What to read | Player cut that matters most |
|---|---|---|---|
| Greenlight | Which concept or genre twist | Appeal, uniqueness, platform | Core genre fans vs lapsed players |
| Announce | Which trailer or key art | Takeaway, appeal, wishlist intent | Fans of comparable games |
| Store page | Which description and screenshots | Clarity, wishlist or buy intent | Players browsing the genre |
| Pricing | Base price and editions | Acceptable range, edition choice | Players by spend level |
| Live ops | Battle pass and offers | Purchase reason, value, fairness | Payers vs non-payers |
Concept reads use a standard concept test. Trailer reads work like any ad pretest. Edition and offer pricing uses the methods in how to measure willingness to pay.
What questions should a player study ask?
- Which games have you played the most in the past 3 months? On which platforms?
- After watching this trailer, what kind of game do you think this is?
- How likely are you to add it to your wishlist? [1 to 5]
- Which edition would you choose? [Standard, deluxe, none]
- If this offer appeared in the game, would you buy it? Why? [Saves time, play with friends, compete, good value, access to locked content, other]
- Does this offer feel fair? [1 to 5] What would make it feel fairer?
Question 2 catches a common trailer problem: players read the genre wrong. Question 6 matters because offers that feel unfair can hurt reviews more than they raise revenue.
What does a player study look like on a simulated audience?
Hypothetical: a studio is preparing to announce a co-op survival game and has two trailers, one built on story and one on co-op moments, plus a plan for a deluxe edition.
- Audience: US adults who played a survival or co-op game at least weekly in the past 3 months, split by solo and co-op players, by PC and console, and by those who have bought a deluxe edition before.
- Design: one trailer per respondent, genre playback, wishlist intent, then an edition choice.
- Readout: genre read, wishlist intent and edition choice by segment, with reasons in players' words.
Example output layout (illustrative, not a real result)
| Segment | Reads genre correctly (story / co-op trailer) | Wishlist intent top 2 (story / co-op) | Picks deluxe | Main reason (coded) |
|---|---|---|---|---|
| Co-op players | __% / __% | __% / __% | __% | Coded theme |
| Solo players | __% / __% | __% / __% | __% | Coded theme |
| PC players | __% / __% | __% / __% | __% | Coded theme |
If solo players love the story trailer but think it's a single-player game, the trailer is winning the wrong audience. Use the co-op cut for the announce and the story cut later. The store page that follows can be tested with landing page testing.
What should game marketers keep in mind?
- Fun needs real players. Use simulated reads for marketing and monetization questions, and playtests with real players for gameplay.
- Communities talk. Fairness matters more in games than most categories, so read fairness on every offer.
- Segment by play style. Platform, genre history and spend level split players more than age does.
- Keep sources apart. Report simulated reads and playtest results side by side.
Live-service teams pricing passes and subscriptions will find related methods in how subscription apps research pricing.
Questions about game player research
How do game studios test a game concept before production?
They show target players a short concept description or key art, read appeal, uniqueness and platform fit, and compare it with a known game as a reference.
Can you test a game trailer before release?
Yes. Show it to players of comparable games and ask what kind of game they think it is, how appealing it is, and whether they would wishlist it.
Does simulated research replace playtesting?
No. Playtesting judges whether the game is fun and playable, which needs real players with a build. Simulated reads cover concept, trailer, store page and offer questions.
How does Neon Blue help game marketing teams?
Neon Blue builds a simulated audience of your target players and reads appeal, wishlist intent and offer response by segment, labeled as simulated. Start a free first study.