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The purpose of this paper is to propose a framework based on customer journeys for a structured portrayal of service delivery from the customer’s point of view. The paper also introduces customer journey analysis (CJA) for empirical investigation of individual service experiences in a multichannel environment.

The paper presents case studies for onboarding new customers on broadband services. CJA starts with modeling of the service process in terms of touchpoints. The individual customer journeys are reconstructed through methodological triangulation of interviews, diary studies, and process tracking.

The paper provides empirical insights into individual customer journeys. Four types of deviations during service delivery are identified: occurrence of ad hoc touchpoints, irregularities in the sequence of logically connected touchpoints, occurrence of failures in touchpoints, and missing touchpoints. CJA seems effective in revealing problematic and incoherent service delivery that may result in unfavorable customer experiences.

For a service company, the proposed framework may serve as a unifying language to ease cross-departmental communication and approach service quality in a systematic way. CJA discloses the gap between the planned and actual service delivery and can be used as a tool for service improvement.

The framework provides concepts, definitions, and a visual notation to structure and manage services in terms of customer journeys. CJA is a novel method for empirical studies of the service delivery process and the associated customer experience.

Managers use several touchpoints to provide a positive experience for customers in an experience economy. Past studies ignored how the touchpoints complement one another in creating synergy, even though this issue has tremendous managerial implications. This research paper aims to examine the role of a set of value-driven touchpoints' in providing and managing the customer experience.

Four hypotheses were formulated concerning the relationship between various value-driven touchpoints and the consumer experience. Data were collected from 360 respondents, and an econometric model was fitted to the data.

The results showed that touchpoints representing economical, functional, informational and convenient values impact the customer experience and complement one another.

The findings of this study should assist managers in framing a customer-facing strategy for providing a positive experience to customers.

Using primary data and an econometric model, this research extends the theory on the relationship between value-driven touchpoints and customer experience, hence, adding value to the existing corpus of marketing literature.

Customer experience is increasingly recognized as a source of competitive advantage. Customer experience refers to customers' responses and reactions to cues within touchpoints along customer journeys. Nowadays, customers often interact with online touchpoints – such as social media, websites, or e-commerce – in their customer journeys. Given that customer experience is multidimensional, this chapter addresses the following question: How can sensorial experiences be triggered in online touchpoints? Based on a review of the literature on customer experience and sensory marketing, four challenges in triggering sensorial experiences in online touchpoints are identified: (1) limited sensorial cues, (2) lack of thematic congruence between online and offline touchpoints, (3) sensory overload, and (4) lesser control over sensorial cues. Then, two routes through which organizations can trigger sensorial experiences in online touchpoints are proposed: (1) directly influencing sensations through sensory-enabling technologies, and (2) indirectly influencing sensorial perceptions through the use of sensory and nonsensory cues. The chapter closes with a presentation of a model that describes the process of triggering sensorial experiences in online touchpoints as well as a checklist of relevant questions for practitioners who wish to do so.

Many companies struggle with the assessment of customer experience. This chapter aims to demonstrate how mobile ethnography tackles this issue by assessing data in a holistical way, in-situ, and in real-time.

The chapter describes the implementation of a mobile ethnography project in a tourist destination, including participant recruitment, data collection, data analysis, and the derivation of insights.

The mobile ethnography project allowed to gain deep insights into the customers’ journeys.

Future research will need to further investigate questions of participant recruitment, the effectiveness of incentives as well as the performance of the data collection process. Furthermore the findings of this case need to be replicated in the context of other industries, as well as in other cultural contexts.

Mobile ethnography allows companies to gain more information on customer experience in real-time, thus with reduced cognitive and emotional bias. Therefore, the method can help to improve the touristic service offering and, consequently, customer experience.

As companies are searching for new approaches to research and manage customer experience, this chapter is of high value for both academia and practice.

A customer's journey of searching for a product or service, evaluating it, purchasing it, using it, recommending it, rebuying it or rejecting it is unique in itself. Organisations always have dreamt of getting inside the customers' minds and trying to understand what's happening inside at each of these steps. This chapter explains the customer journey concept and the analysis of the various components of the customer journey. We highlight that the firms need to understand the customer journeys and the multiple touchpoints they interact with to create a worthwhile customer experience. The chapter lists out the various touchpoints, including social/external touchpoints, customer-owned touchpoints, partner-owned touchpoints and brand-owned touchpoints. We discuss three frameworks that can be used by a firm to understand design a customer journey. These frameworks include AIDA (awareness, interest, desire and action), MAI (measure, analyse and improve) and journey maps. The chapter recommends the various steps which a firm can use to create a journey map. In the end, we create a linkage between the customer journey and business transformation. The chapter builds a case for the application of customer journey management by pointing out that it is a complex phenomenon, and the firms should use a structured approach to design and manage the customer journey.

This research aims to identify critical brand touchpoints that generate value for customers and brands and examine their effects on two relational outcomes: relationship quality and word of mouth (WOM).

Three studies combining qualitative and quantitative research provide evidence distinguishing four different stages of customer experience in the telecom industry and develop a research model of staged customer experience; structural equation modeling analyses are used to validate the proposed model and test for the examined effects.

Customer experience in the telecom industry consists of four related but distinct stages (i.e. pre-touch, in-touch, post-touch and service failure) and these stages have direct and indirect effects on WOM. Furthermore, the effects of customer experience stages on WOM are partially mediated by relationship quality.

The research model introduced here will allow academics and practitioners to focus their efforts on important touchpoints that influence relationship quality and WOM. Future research should examine the proposed model of staged customer experience in different applications and industries.

A common myth among marketers is that firms should design a painless experience if they want a superior market position. While avoiding a drain on financial resources, the prime objective should be to provide a holistic customer experience that is valuable to customers and the brand alike. Marketers should disregard touchpoints and stages that do not provide noticeable value.

This research answers the call for a more appropriate model to elucidate the factors that link customer experience with relational outcomes.

The explosion in the number of touchpoints is putting pressure on companies to design omnichannel customer experiences aimed at achieving long-term customer loyalty. The purpose of this paper is to examine the relative importance of 24 touchpoints in contributing to customer loyalty intentions.

Data were collected by means of a survey on almost 6,000 subjects belonging to the Nielsen consumer panel. Two ordinary least squares regression models with clustered standard errors estimate the relationship between touchpoint exposure – measured in terms of reach, frequency and positivity – and customer loyalty intentions in the mobile service sector.

Reach has a significant relationship with customer loyalty intentions as far as eight touchpoints are concerned. Positivity, when controlling for frequency of exposure, is related to customer loyalty intentions as far as nine touchpoints are concerned.

Results provide guidance for mobile service providers on customer experience management strategies and specifically on touchpoint prioritization, adaptation, monitoring and design.

This study addresses two relevant research gaps. First, most studies focus on single or a few touchpoints without considering the variety of touchpoints within the customer journey (Lemon and Verhoef, 2016). Second, no studies focus on the relative contribution of touchpoints to customer loyalty intentions (Homburg et al., 2017).

The purpose of this paper is to identify the patterns of customer exposure to touchpoints by segmenting consumers based on the frequency of their exposure, and to understand the relationship of patterns of exposure with customer loyalty intentions (relationship commitment, self-disclosure and positive word-of-mouth) and demographic characteristics.

An online survey of almost 4,000 customers was employed in a supermarket retail setting. Customers were segmented based on their frequency of recalled exposure to multiple touchpoints, by means of a latent class cluster analysis, while considering the role of demographic characteristics. Afterwards, loyalty intentions variables were regressed on the resulting customer segments.

Based on the touchpoint exposure, six customer segments emerge. The main differences across segments relate to the intensity of frequency of exposure and the types of touchpoints customers have been exposed to. Sex, age, shopping role and geographic area of residence are related to segment membership. The identified patterns of exposure explain relationship commitment, self-disclosure and positive word-of-mouth: clusters displaying higher exposure to touchpoints display higher loyalty intentions than clusters displaying lower exposure.

The study offers actionable implications for brands and retailers on how to manage touchpoints for implementing omnichannel strategies.

As far as the authors know, this study is the first to identify exposure to multiple touchpoints and understand the role of demographics as far as touchpoint exposure is concerned. It also provides interesting findings on the relationship of different combinations of touchpoints with customer loyalty.

This paper aims to examine customer experience value orchestrated by non-banks' financial touchpoints to understand how they enhance the financial inclusion of low-income consumers.

Two independent but related studies were conducted using qualitative comparative analyses (QCA) research design with semi-structured interviews to compare and contrast customer experience value at two rural locations in Southern Africa. The interview transcripts were analysed using ATLAS.ti, which is a powerful operating system for analysing qualitative data.

The results indicate that non-banks in the two countries design financial services that include functional, economic, humanic, social and mechanic customer experience value dimensions.

The data for this study was collected from financial services customers of retailers and mobile phone network operators in only one research setting in each country. Further research could extend the comparative context for qualitative studies across similar markets. Other limitations are discussed in the paper.

This paper contributes to the body of knowledge by highlighting the salient and germane dimensions and components found to be important in understanding financial inclusion using customer experience value. To the best of the authors’ knowledge, this is the first study that incorporates customer experience value dimensions in understanding the financial inclusion of low-income consumers at the base of the social and economic pyramid in emerging markets.

The purpose of this paper is to study the effect of staged customer experiences on customer switching costs in the banking industry.

Brand touchpoints in the banking industry are identified by exploratory research using focus group sessions with bank customers and staff and refined by exploratory factor analysis using an independent sample of bank customers to form the staged customer experience construct. The proposed research model is then validated by confirmatory factor analysis with an independent sample using structural equation modeling.

Customer experience in the banking industry consists of four related but distinct stages (i.e. pre-touch, in-touch, post-touch and service failure). The first three stages have direct and indirect effects on switching costs that are partially mediated by relationship quality.

Customer experience is an industry-specific construct with complicated effects on switching costs. Thus, the staged customer experience construct should be examined in different industries and applications to understand its implications.

Bank customers demand experiences that achieve desirable results in everyday situations and switch to other service providers easily if this demand is not met. Banks should focus on brand touchpoints that are both important to customers and increase switching costs to keep customers from defecting.

This research expands upon findings in the customer experience literature by exploring factors that link staged customer experiences with switching costs in the banking industry. In addition, a paradox is identified in the staged customer experience model that requires managers’ attention in order to design an effective customer experience strategy.