{"title":"通过人工智能增强营销策略和分析","authors":"Anubhuti Gupta, Komal Tomar","doi":"10.1109/ICCAKM50778.2021.9357763","DOIUrl":null,"url":null,"abstract":"Marketing and marketing analytics are going through an evolution. In present scenario it is not at all acceptable to send out bulk email or to use mass communication to an entire customer list for any marketing campaign. Marketers today have understood that they need to be much more selective and to be more unique in their all dealings with customers. Customer journeys nowadays have become more dynamic than ever before. Hence, they require multitude of channels to deal with and want to understand the customer journey across them. Potential customers, they are dealing with are increasingly both tech savvy and data savvy. Marketers are more liable than ever to verify the value of marketing campaigns. Marketing analytic involves the technologies and processes marketers used to evaluate the outcome and value of their marketing initiatives. Marketing analytic gathers data from across all sources and marketing channels and coalesces into a single view, from which marketers extract analytical results, further used to evaluate performance of marketing initiatives and to identify opportunities for improvement.. In order to achieve this, marketers use advanced analytics focusing on customer behavior, customer intelligence and marketing optimization. This research paper centers around how AI can be connected to upgrade marketing analytics and marketing techniques to help organizations both better comprehend their customers and convey an incredible experience to them.. It likewise gives a model too to demonstrate on how associations can utilize what they may as of now be doing to wind up increasingly viable in advertising.","PeriodicalId":165854,"journal":{"name":"2021 2nd International Conference on Computation, Automation and Knowledge Management (ICCAKM)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Enhancing Marketing Strategies and Analytics Through Artificial Intelligence\",\"authors\":\"Anubhuti Gupta, Komal Tomar\",\"doi\":\"10.1109/ICCAKM50778.2021.9357763\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Marketing and marketing analytics are going through an evolution. In present scenario it is not at all acceptable to send out bulk email or to use mass communication to an entire customer list for any marketing campaign. Marketers today have understood that they need to be much more selective and to be more unique in their all dealings with customers. Customer journeys nowadays have become more dynamic than ever before. Hence, they require multitude of channels to deal with and want to understand the customer journey across them. Potential customers, they are dealing with are increasingly both tech savvy and data savvy. Marketers are more liable than ever to verify the value of marketing campaigns. Marketing analytic involves the technologies and processes marketers used to evaluate the outcome and value of their marketing initiatives. Marketing analytic gathers data from across all sources and marketing channels and coalesces into a single view, from which marketers extract analytical results, further used to evaluate performance of marketing initiatives and to identify opportunities for improvement.. In order to achieve this, marketers use advanced analytics focusing on customer behavior, customer intelligence and marketing optimization. This research paper centers around how AI can be connected to upgrade marketing analytics and marketing techniques to help organizations both better comprehend their customers and convey an incredible experience to them.. It likewise gives a model too to demonstrate on how associations can utilize what they may as of now be doing to wind up increasingly viable in advertising.\",\"PeriodicalId\":165854,\"journal\":{\"name\":\"2021 2nd International Conference on Computation, Automation and Knowledge Management (ICCAKM)\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-01-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 2nd International Conference on Computation, Automation and Knowledge Management (ICCAKM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCAKM50778.2021.9357763\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 2nd International Conference on Computation, Automation and Knowledge Management (ICCAKM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCAKM50778.2021.9357763","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Enhancing Marketing Strategies and Analytics Through Artificial Intelligence
Marketing and marketing analytics are going through an evolution. In present scenario it is not at all acceptable to send out bulk email or to use mass communication to an entire customer list for any marketing campaign. Marketers today have understood that they need to be much more selective and to be more unique in their all dealings with customers. Customer journeys nowadays have become more dynamic than ever before. Hence, they require multitude of channels to deal with and want to understand the customer journey across them. Potential customers, they are dealing with are increasingly both tech savvy and data savvy. Marketers are more liable than ever to verify the value of marketing campaigns. Marketing analytic involves the technologies and processes marketers used to evaluate the outcome and value of their marketing initiatives. Marketing analytic gathers data from across all sources and marketing channels and coalesces into a single view, from which marketers extract analytical results, further used to evaluate performance of marketing initiatives and to identify opportunities for improvement.. In order to achieve this, marketers use advanced analytics focusing on customer behavior, customer intelligence and marketing optimization. This research paper centers around how AI can be connected to upgrade marketing analytics and marketing techniques to help organizations both better comprehend their customers and convey an incredible experience to them.. It likewise gives a model too to demonstrate on how associations can utilize what they may as of now be doing to wind up increasingly viable in advertising.