{"id":"https://openalex.org/W3012742538","doi":"https://doi.org/10.3233/ida-194940","title":"A time series approach to player churn and conversion in videogames","display_name":"A time series approach to player churn and conversion in videogames","publication_year":2021,"publication_date":"2021-01-26","ids":{"openalex":"https://openalex.org/W3012742538","doi":"https://doi.org/10.3233/ida-194940","mag":"3012742538"},"language":"en","primary_location":{"id":"doi:10.3233/ida-194940","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ida-194940","pdf_url":null,"source":{"id":"https://openalex.org/S2498839158","display_name":"Intelligent Data Analysis","issn_l":"1088-467X","issn":["1088-467X","1571-4128"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Data Analysis","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2003.10287","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073405232","display_name":"Ana Fern\u00e1ndez del R\u00edo","orcid":"https://orcid.org/0000-0003-1465-7065"},"institutions":[{"id":"https://openalex.org/I178450904","display_name":"National University of Distance Education","ror":"https://ror.org/02msb5n36","country_code":"ES","type":"education","lineage":["https://openalex.org/I178450904"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Ana Fern\u00e1ndez del R\u00edo","raw_affiliation_strings":["Data Science Research, Yokozuna Data, A Keywords Studio, Tokyo, Japan","Departamento de F\u00edsica Fundamental, Universidad Nacional de Educaci\u00f3n a Distancia (UNED), Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"Data Science Research, Yokozuna Data, A Keywords Studio, Tokyo, Japan","institution_ids":[]},{"raw_affiliation_string":"Departamento de F\u00edsica Fundamental, Universidad Nacional de Educaci\u00f3n a Distancia (UNED), Madrid, Spain","institution_ids":["https://openalex.org/I178450904"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068338316","display_name":"Anna Guitart","orcid":"https://orcid.org/0000-0003-0480-1131"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anna Guitart","raw_affiliation_strings":["Data Science Research, Yokozuna Data, A Keywords Studio, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Data Science Research, Yokozuna Data, A Keywords Studio, Tokyo, Japan","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065553799","display_name":"\u00c1frica Peri\u00e1\u00f1ez","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"\u00c1frica Peri\u00e1n\u1ebdz","raw_affiliation_strings":["Data Science Research, Yokozuna Data, A Keywords Studio, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Data Science Research, Yokozuna Data, A Keywords Studio, Tokyo, Japan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5073405232"],"corresponding_institution_ids":["https://openalex.org/I178450904"],"apc_list":null,"apc_paid":null,"fwci":0.9639,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.78890241,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"25","issue":"1","first_page":"177","last_page":"203"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11674","display_name":"Sports Analytics and Performance","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11918","display_name":"Forecasting Techniques and Applications","score":0.982699990272522,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/covariate","display_name":"Covariate","score":0.7302985191345215},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5978658199310303},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.5720537900924683},{"id":"https://openalex.org/keywords/promotion","display_name":"Promotion (chess)","score":0.5596879720687866},{"id":"https://openalex.org/keywords/state-space","display_name":"State space","score":0.5348694920539856},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.5069161057472229},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4729470908641815},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.4707121253013611},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.46825796365737915},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4295842945575714},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.260564923286438},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.22544360160827637},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22068274021148682}],"concepts":[{"id":"https://openalex.org/C119043178","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Covariate","level":2,"score":0.7302985191345215},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5978658199310303},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.5720537900924683},{"id":"https://openalex.org/C98147612","wikidata":"https://www.wikidata.org/wiki/Q215599","display_name":"Promotion (chess)","level":3,"score":0.5596879720687866},{"id":"https://openalex.org/C72434380","wikidata":"https://www.wikidata.org/wiki/Q230930","display_name":"State space","level":2,"score":0.5348694920539856},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.5069161057472229},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4729470908641815},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.4707121253013611},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.46825796365737915},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4295842945575714},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.260564923286438},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.22544360160827637},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22068274021148682},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3233/ida-194940","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ida-194940","pdf_url":null,"source":{"id":"https://openalex.org/S2498839158","display_name":"Intelligent Data Analysis","issn_l":"1088-467X","issn":["1088-467X","1571-4128"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Data Analysis","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2003.10287","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2003.10287","pdf_url":"https://arxiv.org/pdf/2003.10287","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2003.10287","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2003.10287","pdf_url":"https://arxiv.org/pdf/2003.10287","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":156,"referenced_works":["https://openalex.org/W303776967","https://openalex.org/W639741556","https://openalex.org/W1500470240","https://openalex.org/W1511986666","https://openalex.org/W1523493493","https://openalex.org/W1533861849","https://openalex.org/W1534477342","https://openalex.org/W1538131130","https://openalex.org/W1544274373","https://openalex.org/W1553526580","https://openalex.org/W1568657496","https://openalex.org/W1580788756","https://openalex.org/W1582774210","https://openalex.org/W1598816125","https://openalex.org/W1600957637","https://openalex.org/W1625817316","https://openalex.org/W1678356000","https://openalex.org/W1771535374","https://openalex.org/W1844981334","https://openalex.org/W1960881728","https://openalex.org/W1969852690","https://openalex.org/W1972677429","https://openalex.org/W1976889240","https://openalex.org/W1979300931","https://openalex.org/W1998032746","https://openalex.org/W2011301426","https://openalex.org/W2013363278","https://openalex.org/W2016210396","https://openalex.org/W2025348367","https://openalex.org/W2026882341","https://openalex.org/W2041844120","https://openalex.org/W2043779128","https://openalex.org/W2044108200","https://openalex.org/W2045568966","https://openalex.org/W2045803758","https://openalex.org/W2050049213","https://openalex.org/W2054953811","https://openalex.org/W2059888405","https://openalex.org/W2064675550","https://openalex.org/W2070946249","https://openalex.org/W2070986256","https://openalex.org/W2072128103","https://openalex.org/W2076063813","https://openalex.org/W2076313071","https://openalex.org/W2079615115","https://openalex.org/W2081569777","https://openalex.org/W2084484787","https://openalex.org/W2089490144","https://openalex.org/W2091823618","https://openalex.org/W2093230975","https://openalex.org/W2097117768","https://openalex.org/W2105934661","https://openalex.org/W2107482271","https://openalex.org/W2108240911","https://openalex.org/W2114103087","https://openalex.org/W2115108310","https://openalex.org/W2123998733","https://openalex.org/W2124437815","https://openalex.org/W2126831543","https://openalex.org/W2127624016","https://openalex.org/W2133176971","https://openalex.org/W2136444698","https://openalex.org/W2137226992","https://openalex.org/W2139220821","https://openalex.org/W2142635246","https://openalex.org/W2144922697","https://openalex.org/W2145126338","https://openalex.org/W2147800946","https://openalex.org/W2148143831","https://openalex.org/W2156387975","https://openalex.org/W2156957852","https://openalex.org/W2167029003","https://openalex.org/W2168175751","https://openalex.org/W2169805405","https://openalex.org/W2181523240","https://openalex.org/W2189223556","https://openalex.org/W2202704248","https://openalex.org/W2263559949","https://openalex.org/W2288074780","https://openalex.org/W2295598076","https://openalex.org/W2313953460","https://openalex.org/W2318793669","https://openalex.org/W2325420945","https://openalex.org/W2327667672","https://openalex.org/W2331820705","https://openalex.org/W2342249984","https://openalex.org/W2346354117","https://openalex.org/W2415594836","https://openalex.org/W2510934495","https://openalex.org/W2564904255","https://openalex.org/W2575693697","https://openalex.org/W2591467549","https://openalex.org/W2595177306","https://openalex.org/W2598243620","https://openalex.org/W2727476476","https://openalex.org/W2743594691","https://openalex.org/W2747986904","https://openalex.org/W2749587125","https://openalex.org/W2752932982","https://openalex.org/W2763439537","https://openalex.org/W2763992219","https://openalex.org/W2781814582","https://openalex.org/W2792306606","https://openalex.org/W2793388457","https://openalex.org/W2794065766","https://openalex.org/W2797683006","https://openalex.org/W2798056406","https://openalex.org/W2801142060","https://openalex.org/W2808051230","https://openalex.org/W2889963245","https://openalex.org/W2902121735","https://openalex.org/W2905833672","https://openalex.org/W2906935111","https://openalex.org/W2956341848","https://openalex.org/W2960181869","https://openalex.org/W2964121744","https://openalex.org/W3098057095","https://openalex.org/W3099092974","https://openalex.org/W3101832832","https://openalex.org/W3102476541","https://openalex.org/W3103104966","https://openalex.org/W3103695590","https://openalex.org/W3104205327","https://openalex.org/W3104984355","https://openalex.org/W3105530125","https://openalex.org/W3105639507","https://openalex.org/W3122318980","https://openalex.org/W3142517368","https://openalex.org/W3143008390","https://openalex.org/W3146166473","https://openalex.org/W3147894994","https://openalex.org/W3150435615","https://openalex.org/W3150584212","https://openalex.org/W4212858940","https://openalex.org/W4229539396","https://openalex.org/W4231109964","https://openalex.org/W4232331595","https://openalex.org/W4234299619","https://openalex.org/W4237699877","https://openalex.org/W4246259708","https://openalex.org/W4248116191","https://openalex.org/W4288253952","https://openalex.org/W4292225646","https://openalex.org/W4293223245","https://openalex.org/W4293241248","https://openalex.org/W4298024117","https://openalex.org/W4362575130","https://openalex.org/W4379510236","https://openalex.org/W4395021664","https://openalex.org/W4399452637","https://openalex.org/W4399575341","https://openalex.org/W4399650515","https://openalex.org/W6600648412","https://openalex.org/W6610867836","https://openalex.org/W6641211964","https://openalex.org/W6684933165"],"related_works":["https://openalex.org/W2985746494","https://openalex.org/W4206042385","https://openalex.org/W2511384863","https://openalex.org/W2080773131","https://openalex.org/W2096089271","https://openalex.org/W2923628599","https://openalex.org/W2014100433","https://openalex.org/W2051519658","https://openalex.org/W2349019353","https://openalex.org/W2154965898"],"abstract_inverted_index":{"Players":[0],"of":[1,42,68,88],"a":[2,65,125,183],"free-to-play":[3],"game":[4],"are":[5,59,106],"divided":[6],"into":[7],"three":[8],"main":[9],"groups:":[10],"non-paying":[11,172],"active":[12,15],"users,":[13],"paying":[14],"users":[16],"and":[17,74,90,108,116,156,186],"inactive":[18],"users.":[19],"A":[20],"State":[21,103],"Space":[22,104],"time":[23],"series":[24],"approach":[25,152],"is":[26,79,97,153],"then":[27],"used":[28,81],"to":[29,47,60,128,163,181],"model":[30,164],"the":[31,36,40,69,86,149],"daily":[32],"conversion":[33],"rates":[34,58],"between":[35],"different":[37,102],"groups,":[38],"i.e.,":[39],"probability":[41],"transitioning":[43],"from":[44],"one":[45],"group":[46],"another.":[48],"This":[49],"allows,":[50],"not":[51],"only":[52],"for":[53,64,85,136,144,171],"predictions":[54],"on":[55],"how":[56],"these":[57],"evolve,":[61],"but":[62],"also":[63,80,179],"deeper":[66],"understanding":[67],"impact":[70],"that":[71],"in-game":[72],"planning":[73],"calendar":[75],"effects":[76],"have.":[77],"It":[78],"in":[82,121,161],"this":[83],"work":[84],"detection":[87],"marketing":[89,185],"promotion":[91,187],"campaigns":[92],"about":[93],"which":[94],"no":[95],"information":[96],"available.":[98],"In":[99],"particular,":[100],"two":[101],"formulations":[105],"considered":[107],"compared:":[109],"an":[110,117],"Autoregressive":[111],"Integrated":[112],"Moving":[113],"Average":[114],"process":[115],"Unobserved":[118,150],"Components":[119,151],"approach,":[120],"both":[122],"cases":[123],"with":[124,141],"linear":[126],"regression":[127],"explanatory":[129],"variables.":[130],"Both":[131],"yield":[132],"very":[133],"close":[134],"estimations":[135],"covariate":[137],"parameters,":[138],"producing":[139],"forecasts":[140,170],"similar":[142],"performances":[143],"most":[145],"transition":[146],"rates.":[147],"While":[148],"more":[154],"robust":[155],"needs":[157],"less":[158],"human":[159],"intervention":[160],"regards":[162],"definition,":[165],"it":[166,178],"produces":[167],"significantly":[168],"worse":[169],"user":[173],"abandonment":[174],"probability.":[175],"More":[176],"critically,":[177],"fails":[180],"detect":[182],"plausible":[184],"campaign":[188],"scenario.":[189]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2020,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}