Author
Abstract
This chapter elucidates the pivotal role of digital customer experience in the realm of digital marketing, underscoring its significance in fostering customer satisfaction and loyalty. Employing a humanistic approach and drawing from Levitt’s model, it delves into the utilization of machine learning, augmented reality, and customer feedback as instrumental tools in refining the digital customer experience, thereby propelling positive outcomes in digital marketing efforts. The discourse articulates that in the digital era, every interaction, be it through social media advertisements, website visits, or customer service engagements, contributes significantly to shaping the customer’s brand perception and influencing their purchasing decisions. Emphasizing the necessity for a holistic view of customer interactions, the chapter advocates for the adoption of a comprehensive approach that recognizes these interactions as components of a larger, interconnected experience. It highlights the indispensability of personalization, facilitated by machine learning, in crafting offers and experiences tailored to individual customer preferences, thereby enhancing engagement and conversion likelihood. Furthermore, the chapter accentuates the importance of consistent and coherent experiences across all customer touchpoints, integrated communication, and the strategic use of technology to enrich the customer journey. Through an exploration of augmented reality’s potential to offer immersive experiences and the crucial role of customer feedback in ongoing improvement efforts, it presents a compelling argument for the centrality of customer experience in digital marketing. The chapter concludes by stressing that putting the customer experience at the forefront of digital marketing strategies is essential for achieving lasting customer relationships and success in the digital marketplace.
Suggested Citation
Alfonso Pellegrino, 2024.
"Experience at the Core: Digital Customer Experience and Customer Satisfaction,"
Springer Books, in: Decoding Digital Consumer Behavior, chapter 0, pages 141-149,
Springer.
Handle:
RePEc:spr:sprchp:978-981-97-3454-2_10
DOI: 10.1007/978-981-97-3454-2_10
Download full text from publisher
To our knowledge, this item is not available for
download. To find whether it is available, there are three
options:
1. Check below whether another version of this item is available online.
2. Check on the provider's
web page
whether it is in fact available.
3. Perform a
search for a similarly titled item that would be
available.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-981-97-3454-2_10. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.