找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Data-Driven Customer Engagement; Mastering MarTech St Ralf Strauss Book 2024 The Editor(s) (if applicable) and The Author(s), under exclusi

[復(fù)制鏈接]
查看: 35340|回復(fù): 51
樓主
發(fā)表于 2025-3-21 17:52:27 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Data-Driven Customer Engagement
副標(biāo)題Mastering MarTech St
編輯Ralf Strauss
視頻videohttp://file.papertrans.cn/285/284462/284462.mp4
概述Unlock success in Marketing and Sales with cutting-edge MarTech digital solutions.Brides theory and practice: From corporate strategy to real-world implementations.Presents 14 compelling case studies
圖書封面Titlebook: Data-Driven Customer Engagement; Mastering MarTech St Ralf Strauss Book 2024 The Editor(s) (if applicable) and The Author(s), under exclusi
描述.Embark on a journey through the rapidly evolving landscape of Marketing Technology (MarTech) with this comprehensive guide. From understanding the strategic imperatives driving MarTech adoption to navigating the intricacies of data-driven customer interaction, this book provides invaluable insights and practical strategies. Explore topics ranging from budget allocation and market potential to data readiness and GDPR compliance, gaining a deep understanding of key concepts and best practices. Whether you‘re grappling with the complexities of AI integration or seeking to optimize measurement and KPIs, this book equips you with the knowledge and tools needed to thrive in today‘s digital marketing environment. With decades of industry experience, Ralf Strauss offers in this book a roadmap for success, empowering marketers to navigate the challenges and seize the opportunities presented by MarTech innovation..
出版日期Book 2024
關(guān)鍵詞Data-driven customer interaction; MarTech landscape; Marketing technology trends; Budget allocation str
版次1
doihttps://doi.org/10.1007/978-3-031-64295-1
isbn_softcover978-3-031-64297-5
isbn_ebook978-3-031-64295-1
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

書目名稱Data-Driven Customer Engagement影響因子(影響力)




書目名稱Data-Driven Customer Engagement影響因子(影響力)學(xué)科排名




書目名稱Data-Driven Customer Engagement網(wǎng)絡(luò)公開度




書目名稱Data-Driven Customer Engagement網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Data-Driven Customer Engagement被引頻次




書目名稱Data-Driven Customer Engagement被引頻次學(xué)科排名




書目名稱Data-Driven Customer Engagement年度引用




書目名稱Data-Driven Customer Engagement年度引用學(xué)科排名




書目名稱Data-Driven Customer Engagement讀者反饋




書目名稱Data-Driven Customer Engagement讀者反饋學(xué)科排名




單選投票, 共有 0 人參與投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用戶組沒有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 22:33:38 | 只看該作者
板凳
發(fā)表于 2025-3-22 01:15:20 | 只看該作者
Thermally stimulated discharge of electrets,tion, down to multi-channel execution. In order to assess strategies and concepts, since 2019 between 280–370 senior executives in marketing & sales have been targeted by a quantitative survey each year, backed by all-in-all 145 qualitative 1:1 interviews.
地板
發(fā)表于 2025-3-22 05:39:07 | 只看該作者
is or should be based upon the customer journey. Contrary to theory, only a subset of companies indicated that an outside-in customer journey analysis and mapping has been conducted. In this vein, fundamental concepts and insights are missing right from the start. “Failure by Design” for projects.
5#
發(fā)表于 2025-3-22 12:21:35 | 只看該作者
https://doi.org/10.1007/978-3-476-03096-2ates that the quality of planning and data-driven steering is lagging. Backed by huge data science departments, the future will show a higher degree of automation, down to the level of Causal AI, e.g. in marketing mix modelling.
6#
發(fā)表于 2025-3-22 13:42:14 | 只看該作者
7#
發(fā)表于 2025-3-22 17:35:06 | 只看該作者
8#
發(fā)表于 2025-3-22 22:43:19 | 只看該作者
9#
發(fā)表于 2025-3-23 05:02:15 | 只看該作者
,Let the MarTech Music Play … Development Phases of the MarTech Universe,, the overall maturity is still pretty low. The more know-how companies have been able to build up, the more they are familiar with processes and applications … the more time they have already spent on those topics and concepts… the more best-of-breed solutions are preferred versus all-in-one suite solutions.
10#
發(fā)表于 2025-3-23 06:13:46 | 只看該作者
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-12 10:28
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
海安县| 永宁县| 佛教| 米易县| 乌兰县| 常山县| 龙胜| 崇州市| 界首市| 汉阴县| 梅河口市| 大名县| 开封市| 泾源县| 普洱| 商丘市| 康定县| 洛扎县| 多伦县| 南城县| 泸溪县| 年辖:市辖区| 武冈市| 平远县| 师宗县| 班戈县| 大英县| 博野县| 小金县| 将乐县| 和平区| 临潭县| 马公市| 那曲县| 塔河县| 津市市| 中江县| 甘洛县| 阿拉尔市| 渝北区| 佛冈县|