IDEAS home Printed from https://ideas.repec.org/r/pal/jmarka/v7y2019i3d10.1057_s41270-019-00059-2.html
   My bibliography  Save this item

The state of marketing analytics in research and practice

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Lee, Michael T. & Raschke, Robyn L. & Krishen, Anjala S., 2022. "Signaling green! firm ESG signals in an interconnected environment that promote brand valuation," Journal of Business Research, Elsevier, vol. 138(C), pages 1-11.
  2. Bernd Skiera & Lukas Jürgensmeier, 2024. "Teaching marketing analytics: a pricing case study for quantitative and substantive marketing skills," Journal of Marketing Analytics, Palgrave Macmillan, vol. 12(2), pages 209-226, June.
  3. Jeffrey A. Hoyle & Rebecca Dingus & J. Holton Wilson, 0. "An exploration of sales forecasting: sales manager and salesperson perspectives," Journal of Marketing Analytics, Palgrave Macmillan, vol. 0, pages 1-10.
  4. Rebecca Dingus & Hulda G. Black & Nicole A. Flink, 2024. "Analytics for all marketing majors: sparking interest in the uninterested," Journal of Marketing Analytics, Palgrave Macmillan, vol. 12(2), pages 126-141, June.
  5. Agag, Gomaa & Shehawy, Yasser Moustafa & Almoraish, Ahmed & Eid, Riyad & Chaib Lababdi, Houyem & Gherissi Labben, Thouraya & Abdo, Said Shabban, 2024. "Understanding the relationship between marketing analytics, customer agility, and customer satisfaction: A longitudinal perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 77(C).
  6. Matthew D. Vollrath & Salvador G. Villegas, 2022. "Avoiding digital marketing analytics myopia: revisiting the customer decision journey as a strategic marketing framework," Journal of Marketing Analytics, Palgrave Macmillan, vol. 10(2), pages 106-113, June.
  7. Erdmann, Anett & Arilla, Ramón & Ponzoa, José M., 2022. "Search engine optimization: The long-term strategy of keyword choice," Journal of Business Research, Elsevier, vol. 144(C), pages 650-662.
  8. Adam C. Merkle & Catherine Hessick & Britton R. Leggett & Larry Goehrig & Kenneth O’Connor, 2020. "Exploring the components of brand equity amid declining ticket sales in Major League Baseball," Journal of Marketing Analytics, Palgrave Macmillan, vol. 8(3), pages 149-164, September.
  9. José-Ramón Segarra-Moliner & Miguel-Ángel Moliner-Tena, 2024. "Engaging in customer citizenship behaviours to predict customer lifetime value," Journal of Marketing Analytics, Palgrave Macmillan, vol. 12(2), pages 307-320, June.
  10. Sidney Anderson, 2024. "Expanding data literacy to include data preparation: building a sound marketing analytics foundation," Journal of Marketing Analytics, Palgrave Macmillan, vol. 12(2), pages 227-234, June.
  11. Ahmed Gamal ElKattan & Diana Gavilan & Mohamed Hamed Elsharnouby & Amira Fouad Ahmed Mahran, 2024. "Mapping sharing economy themes: science mapping, topic modeling, and research agenda," Journal of Marketing Analytics, Palgrave Macmillan, vol. 12(4), pages 843-864, December.
  12. Maria Petrescu & Anjala S. Krishen, 2021. "Focusing on the quality and performance implications of marketing analytics," Journal of Marketing Analytics, Palgrave Macmillan, vol. 9(3), pages 155-156, September.
  13. Maria Petrescu & Anjala S. Krishen, 2021. "A tribute to our heroes and thoughts about collaborative relationships," Journal of Marketing Analytics, Palgrave Macmillan, vol. 9(2), pages 81-82, June.
  14. Imran Bashir Dar & Muhammad Bashir Khan & Abdul Zahid Khan & Bahaudin G. Mujtaba, 2021. "A qualitative analysis of the marketing analytics literature: where would ethical issues and legality rank?," Journal of Marketing Analytics, Palgrave Macmillan, vol. 9(3), pages 242-261, September.
  15. Morgan M. Bryant & Jen Riley & Tiffanie Turner-Henderson & Dexter Purnell, 2024. "Ready, set, go! Deploying the social listening stoplight activity to teach marketing analytics using qualitative techniques," Journal of Marketing Analytics, Palgrave Macmillan, vol. 12(2), pages 169-181, June.
  16. Michael A. Levin & John T. Gironda, 2023. "New frontiers in forecasting, predicting, and explaining: an introduction to the special issue," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(4), pages 559-560, December.
  17. Di Wu & Zhenning Xu & Seung Bach, 2023. "Using Google Trends to predict and forecast avocado sales," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(4), pages 629-641, December.
  18. Zhenning Xu & Colin Vail & Amarpreet S. Kohli & Saeed Tajdini, 2021. "Understanding changes in a brand’s core positioning and customer engagement: a sentiment analysis of a brand-owned Facebook site," Journal of Marketing Analytics, Palgrave Macmillan, vol. 9(1), pages 3-16, March.
  19. Carlos Lamela-Orcasitas & Jesús García-Madariaga, 2023. "How to really quantify the economic value of customer information in corporate databases," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-13, December.
  20. Vinay Singh & Brijesh Nanavati & Arpan Kumar Kar & Agam Gupta, 2023. "How to Maximize Clicks for Display Advertisement in Digital Marketing? A Reinforcement Learning Approach," Information Systems Frontiers, Springer, vol. 25(4), pages 1621-1638, August.
  21. Andrea Caputo & Mariya Kargina, 2022. "A user-friendly method to merge Scopus and Web of Science data during bibliometric analysis," Journal of Marketing Analytics, Palgrave Macmillan, vol. 10(1), pages 82-88, March.
  22. Anjala S. Krishen & Maria Petrescu, 2022. "Is all academic service distributed equally?," Journal of Marketing Analytics, Palgrave Macmillan, vol. 10(4), pages 297-298, December.
  23. Gül Yazıcı & Tuğçe Ozansoy Çadırcı, 2024. "Creating meaningful insights from customer reviews: a methodological comparison of topic modeling algorithms and their use in marketing research," Journal of Marketing Analytics, Palgrave Macmillan, vol. 12(4), pages 865-887, December.
  24. Jared M. Hansen & Paul Wilson, 2023. "Modeling and explaining the growth patterns over time of country-specific website clickstream metrics," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(4), pages 561-576, December.
  25. Jeffrey A. Hoyle & Rebecca Dingus & J. Holton Wilson, 2020. "An exploration of sales forecasting: sales manager and salesperson perspectives," Journal of Marketing Analytics, Palgrave Macmillan, vol. 8(3), pages 127-136, September.
  26. Kamaal Allil, 2024. "Integrating AI-driven marketing analytics techniques into the classroom: pedagogical strategies for enhancing student engagement and future business success," Journal of Marketing Analytics, Palgrave Macmillan, vol. 12(2), pages 142-168, June.
  27. Krishen, Anjala S. & Dwivedi, Yogesh K. & Bindu, N. & Kumar, K. Satheesh, 2021. "A broad overview of interactive digital marketing: A bibliometric network analysis," Journal of Business Research, Elsevier, vol. 131(C), pages 183-195.
  28. Andrés Martínez & Alfonso Salafranca & Ana E. Sipols & Clara Simon Blas & Daniel Hengel, 2024. "Distributed lags using elastic-net regularization for market response models: focus on predictive and explanatory capacity," Journal of Marketing Analytics, Palgrave Macmillan, vol. 12(2), pages 417-435, June.
  29. Shimi Naurin Ahmad & Michel Laroche, 2023. "Extracting marketing information from product reviews: a comparative study of latent semantic analysis and probabilistic latent semantic analysis," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(4), pages 662-676, December.
  30. Diana-Elena Drăghici & Andreea Orîndaru & Mihaela Constantinescu & Alina Zelezneac, 2023. "Revolutionizing Marketing Research Through AI: comprehensive review of the past, present, and future," Journal of Emerging Trends in Marketing and Management, The Bucharest University of Economic Studies, vol. 1(1), pages 39-45, April.
  31. Koen Pauwels & Michael Peran & Zee Shah & German Schnaidt & Dauwe Vercamer, 2023. "Sponsored brands video rings up clicks and sales in the short and long run," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(3), pages 275-286, September.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.