通过人工智能增强营销策略和分析

Anubhuti Gupta, Komal Tomar
{"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}
引用次数: 3

摘要

市场营销和市场分析正在经历一场变革。在目前的情况下,为任何营销活动发送大量电子邮件或使用大众传播到整个客户名单是完全不可接受的。今天的营销人员已经明白,在与客户打交道时,他们需要更有选择性,更独特。如今的客户旅程比以往任何时候都更加动态。因此,他们需要处理大量的渠道,并希望了解客户在这些渠道中的旅程。他们正在处理的潜在客户越来越精通技术和数据。营销人员比以往任何时候都更有责任验证营销活动的价值。营销分析涉及营销人员用来评估其营销活动的结果和价值的技术和过程。营销分析收集来自所有来源和营销渠道的数据,并将其合并到一个视图中,营销人员从中提取分析结果,进一步用于评估营销活动的绩效并确定改进的机会。为了实现这一目标,营销人员使用先进的分析方法来关注客户行为、客户智能和营销优化。这篇研究论文围绕着如何将人工智能与升级营销分析和营销技术联系起来,以帮助组织更好地了解他们的客户,并向他们传达令人难以置信的体验。同样,它也提供了一个模型来展示协会如何利用他们现在可能正在做的事情来增加广告的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信