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Grassroots Market Research on Grass: Predicting Cannabis Brand Performance Using Social Media Scraping

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Grassroots Market Research on Grass: Predicting Cannabis Brand Performance Using Social Media Scraping

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dc.contributor.author Kregor, Jennifer es_ES
dc.contributor.author Gomez, Bethany es_ES
dc.contributor.author Kelly, J. Steven es_ES
dc.contributor.author Stevenson, Kathleen es_ES
dc.date.accessioned 2018-11-05T10:24:39Z
dc.date.available 2018-11-05T10:24:39Z
dc.date.issued 2018-09-07
dc.identifier.isbn 9788490486894
dc.identifier.uri http://hdl.handle.net/10251/111864
dc.description.abstract [EN] Social media listening has become a useful tool to marketers in studying behavior for a wide variety of consumer applications, from political leanings and drug abuse to common product choices. Although most cannabis products are illegal at the U.S. Federal level, it is legal in 30 states for medical use and 8 states and the District of Columbia for recreational use. Despite the legal issues, cannabis is projected to reach over $31 billion in sales world-wide by 2021. The industry is both rapidly evolving and highly fragmented, making it challenging for companies operating in the space to access the insights and the data to help design communications, product development and branding strategies. The research presented here will show that the application of social media listening can be helpful for cannabis brand marketers to gauge size, scope and nuances of these markets and tailored social media mining can accurately predict a brand’s future performance. Later research will show that social media scraping will help identify and segment consumers at a fraction the cost of traditional consumer research methods. es_ES
dc.format.extent 8 es_ES
dc.language Inglés es_ES
dc.publisher Editorial Universitat Politècnica de València es_ES
dc.relation.ispartof 2nd International Conference on Advanced Reserach Methods and Analytics (CARMA 2018) es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Web data es_ES
dc.subject Internet data es_ES
dc.subject Big data es_ES
dc.subject QCA es_ES
dc.subject PLS es_ES
dc.subject SEM es_ES
dc.subject Conference es_ES
dc.subject Social media listening es_ES
dc.subject Brand share es_ES
dc.subject Predictive analysis es_ES
dc.subject Predictive analytics es_ES
dc.subject Cannabis industry es_ES
dc.title Grassroots Market Research on Grass: Predicting Cannabis Brand Performance Using Social Media Scraping es_ES
dc.type Capítulo de libro es_ES
dc.type Comunicación en congreso es_ES
dc.identifier.doi 10.4995/CARMA2018.2018.8348
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation Kregor, J.; Gomez, B.; Kelly, JS.; Stevenson, K. (2018). Grassroots Market Research on Grass: Predicting Cannabis Brand Performance Using Social Media Scraping. En 2nd International Conference on Advanced Reserach Methods and Analytics (CARMA 2018). Editorial Universitat Politècnica de València. 201-208. https://doi.org/10.4995/CARMA2018.2018.8348 es_ES
dc.description.accrualMethod OCS es_ES
dc.relation.conferencename CARMA 2018 - 2nd International Conference on Advanced Research Methods and Analytics es_ES
dc.relation.conferencedate Julio 12-13,2018 es_ES
dc.relation.conferenceplace Valencia, Spain es_ES
dc.relation.publisherversion http://ocs.editorial.upv.es/index.php/CARMA/CARMA2018/paper/view/8348 es_ES
dc.description.upvformatpinicio 201 es_ES
dc.description.upvformatpfin 208 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.pasarela OCS\8348 es_ES


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