Advancing the understanding of the pre-purchase stage of the customer journey for service brands
Service branding research predominantly focuses on the purchase and post- purchase stages of the customer journey. The present research expands the lens of enquiry to the pre-purchase stage, showing the role service brands play before customer experiences and relationships can be established. The findings translate into novel, long-term strategies for the effective management of service brands at the pre-purchase stage of the customer journey, especially opportunities for effective and creative marketing communications.
CitationFuller, R., Stocchi, L., Gruber, T. and Romaniuk, J. (2022) "Advancing the understanding of the pre-purchase stage of the customer journey for service brands". Forthcoming in the European Journal of Marketing.
Cashing in on Distinctive Assets: A Descriptive Investigation into the use of Credit Cards to Build Brand Identity in the Banking Sector
When effectively linked to the brand, visual elements such as logos, images and colours, act as powerful mnemonic devices to build brand identity, improving brand recognition, recall, and equity. Despite this, little empirical research investigates the application of visual brand identity strategies in the context of financial services.
This research investigates the use of credit cards as a vehicle to reinforce key identity elements for banking brands. 227 credit cards are examined across 16 banks in the UK, USA and China. We find banks are forgoing a critical opportunity to strengthen brand identity, with numerous cards omitting cornerstone visual identifiers such as the brand name and logo. Design homogeneity between brands for functionally similar cards suggests colour is being used as a design tool to visually differentiate product offerings, rather than unify them under a common brand identity. This has implications for how to build a strong visual identity in a service industry.
CitationWard, E. & Walter, J. (2021) "Cashing in on Distinctive Assets: A Descriptive Investigation into the use of Credit Cards to Build Brand Identity in the Banking Sector". Forthcoming at the EMAC Conference 2021.
Seasonal differences in the cost and engagement of Facebook advertisements for a physical activity smartphone app
Social networks including Facebook appear to be an ideal platform for delivering health-related marketing campaigns. They offer a large, engaged audience, and the ability to deliver advertisements to segments of the population, based on characteristics such as age, gender, geographic location, and interests.
Health researchers and health promotion practitioners, who have limited advertising budgets, need to identify optimal conditions for their health promotion campaigns to achieve maximum impact. Better understanding of how cost and engagement with physical activity advertisement vary will help practitioners schedule their promotion campaigns more effectively and maximise their campaign’s chances of success at optimal budgets.
A key consideration for delivering an advertising campaign on a limited budget is whether the effectiveness of an advertisement will differ based on the time of year.
This novel study aimed to address these knowledge deficits by examining the cost and engagement levels of a Facebook advertising campaign for an evidence-based physical activity app delivered at three timepoints.
CitationNorthcott, C., Curtis, R., Bogomolova, S., Olds, T., Vandelanotte, C., Plotnikoff, R., and Maher, C. (2021) "Seasonal differences in the cost and engagement of Facebook advertisements for a physical activity smartphone app". Forthcoming in the American Journal of Health Promotion.
Evaluating the effectiveness of a physical activity social media advertising campaign using Facebook, Facebook Messenger, and Instagram
Technology-based physical activity programs are a novel solution to the major public health issue of physical inactivity. However, to be successful, there must be a large and population- appropriate uptake, which depends heavily on promotion. This study evaluates the effectiveness of an advertising campaign to disseminate a physical activity smartphone app.
CitationNorthcott, C., Curtis, R., Bogomolova, S., Olds, T., Vandelanotte, C., Plotnikoff, R., and Maher, C. (2021). "Evaluating the effectiveness of a physical activity social media advertising campaign using Facebook, Facebook Messenger, and Instagram". Forthcoming in the Translational Behavioral Medicine.
A Latent Growth Model of Destination Image’s Halo Effect
By disentangling the static and dynamic components of a latent growth model, this study demonstrates how tourists’ mere presence may influence the evaluation of the destination’s products because of the halo effect of their perceived destination image. The results show that destination image positively influenced product evaluations. However, while visitors had more favourable initial product evaluations and purchase intentions, these enhanced evaluations decayed over time once the visitors returned home. Further, the effects were less pronounced for high-involvement visitors, who were more knowledgeable about the product. These findings imply that cross-sectional studies may yield an incomplete picture regarding the effects of destination image. This study also demonstrated how to apply latent growth modelling to longitudinal tourism research.
CitationLee, R., Lockshin, L., Cohen, J., & Corsi, A. "A Latent Growth Model of Destination Image’s Halo Effect", Forthcoming in Annals of Tourism Research
Can a brand outperform competitors on cross-category loyalty? An examination of cross-selling metrics in two financial markets
Purpose
– Many service organisations seek to grow by selling additional different products to their existing customers. Many managers are evaluated on the level of customer loyalty in terms of cross‐product holdings – for example, the average number of bank products or insurance policies held per customer. The purpose of this paper is to provide managers and researchers with some contextual knowledge and norms concerning “cross‐category” loyalty.
Design/methodology/approach
– In order to compare the levels of loyalty for competing brands, five relevant loyalty metrics were used in the analysis, with data sourced from two service industries, banking and insurance.
Findings
– The results show little variation in loyalty scores between competing brands, and what variation there is can be explained by historic factors, without reference to CRM strategies. This suggests that investments into CRM and cross‐selling initiatives seem to have less effect on loyalty metrics than many marketing textbooks and CRM advocates have assumed.
Practical implications
– Marketers should be very cautious of setting ambitious goals for increasing loyalty to their brand at a cross‐category level.
Originality/value
– Very few research papers have explored the issue of cross‐category loyalty. This is despite the value of the specific loyalty metrics as key performance indicators in service industries such as banking and insurance.
CitationMundt, K, Dawes, J & Sharp, B 2006, 'Can a brand outperform competitors on cross-category loyalty? An examination of cross-selling metrics in two financial services markets', Journal of Consumer Marketing, vol. 23, no. 7, pp. 465-469.
Determinants of ex-customer winback in financial services
Financial services play important roles in consumers' lives, and switching providers is a relatively onerous task, but customers often terminate their relationships with a provider. How can a provider best regain lost customers, and what are the determinants of ex-customer winback? Using data from a financial services provider, this research examines 11 factors occurring before, during and after a termination, to study their influence on consumers' propensity to revive a relationship with a previously abandoned service provider. The results indicate that income and variety-seeking preferences are negatively correlated with a customer's likelihood of considering the former brand in the future. Positive associations and evaluations of the former brand are positively correlated with the winback potential. The results can guide managers of financial service providers as to the most significant factors to be analysed in estimating the chances of winning back a lost customer.
CitationBogomolova, S (2016), Determinants of ex-customer winback in financial services, Journal of Retailing and Consumer Services doi:10.1016/j.jretconser.2016.05.005
Consideration sets for Banking and Insurance purchases
This study examines the extent of consumer information search and consideration of financial services brands. It uses data from two surveys of purchasing behavior. This study finds a surprisingly low level of consumer consideration, either by personal enquiry or via the internet. The most common consideration set comprised only one brand, and this was the case for both high-value and low-value services. The managerial implication is that services marketers should make brand salience a top priority, with the competitiveness of their offer not being the primary driver of sales. If a financial services brand is salient to a consumer, there is a very high chance they will purchase that brand, without extensive comparison of the merits of alternatives.
CitationDawes J., Mundt, K. & Sharp, Byron. 2009. Considerations sets for financial services brands. Journal of Financial Services Marketing, vol. 14, pp. 190-202.
Price changes and defection levels in a subscription‐type market: can an estimation model really predict defection levels?
This paper examines the relationship between price changes and customer defection levels in a “subscription”‐type market, namely car insurance. Two regression models are constructed to estimate this relationship, one model for younger customers and another for older customers. The regression models closely estimate the defection rates associated with different levels of price changes. The analysis also shows that the impact of price decreases on defection rates is less than the impact of price increases, extending previous research. The paper notes that models of this type should offer true predictive ability and therefore tests the ability of the model to predict defection rates for new data. The models performed comparatively poorly in this regard, particularly for price increases. The paper concludes that multiple sets of data are needed to develop and validate predictive models.
Managers must at all times remain skeptical of "predictive" analysis based on a single set of data. The difference between fitting a model, and subsequently using it for prediction, is well acknowledged in the forecasting literature, but less so in the marketing discipline.
Model fitting may be easy, but true prediction is very difficult.
CitationDawes, J. (2004). "Price changes and defection levels in a subscription‐type market: can an estimation model really predict defection levels?". Journal of Services Marketing, Vol. 18 Issue: 1, pp.35-44.