Purpose　The　study　aims　to　show　how　several　factors　interact　to　promote　mobile　game　download:　the　number　of　games　released　by　a　publisher,　the　quality　of　the　games　released,　the　popularity　of　a　game＇s　genre,　the　quality　of　borrowed　intellectual　property,　the　frequency　of　recommendations,　intragenre　ranking,　consumer　rating　and　review　quantity.　Design/methodology/approach　Signaling　theory　was　used　to　classify　the　mobile　game　information　displayed　on　the　Apple　App　Store　into　four　groups.　A　conceptual　model　was　proposed　to　illustrate　the　complex　relationship　between　the　information　and　download.　Based　on　information　on　203　mobile　games　in　the　seven　days　following　their　release,　the　model　was　empirically　tested　to　identify　the　influence　of　information　configuration　on　game　download　by　combining　fuzzy　qualitative　comparative　analysis　(fsQCA)　and　a　fuzzy　cognitive　map　(FCM).　Findings　Three　solutions　were　identified　for　high　game　download　and　two　for　low/medium.　The　number　of　previous　games　released　by　a　publisher,　intragenre　ranking,　consumer　rating　and　review　quantity　are　core　conditions　that　reinforce　high　game　download.　The　effects　of　one　information　type　on　another　and　on　downloads　change　as　coexisting　information　types　change.　Originality/value　This　study　enriches　existing　knowledge　about　how　combinations　of　multiple　types　of　game　information　lead　to　game　download　and　extends　previous　variance-based　research.　Combining　an　FCM　with　fsQCA　can　facilitate　one＇s　understanding　of　the　complex　causal　relationships　between　game　information　and　download.