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Erschienen in: Journal of the Academy of Marketing Science 2/2019

10.10.2018 | ORIGINAL EMPIRICAL RESEARCH

The marketing of love: how attachment styles affect romantic consumption journeys

verfasst von: Martin Mende, Maura L. Scott, Aaron M. Garvey, Lisa E. Bolton

Erschienen in: Journal of the Academy of Marketing Science | Ausgabe 2/2019

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Abstract

The experience of romantic love is closely interlocked with consumption journeys—yet how and why consumers engage in romantic consumption is not fully understood. This research emphasizes romantic consumption as a novel scholarly domain of theoretical and substantive richness due to its fundamental importance to nearly every consumer’s life and its considerable economic relevance. Specifically, we investigate how attachment styles influence romantic consumption across various contexts, from movies, books, and greeting cards to romantic gaming and online dating. Across six studies, we show that consumers with an avoidant attachment style are less likely to engage in romantic consumption, whereas consumers with anxious and fearful attachment styles are more favorable toward it and emulate the romantic consumption of consumers with a secure attachment style. We propose that this pattern is driven by the interaction between attachment avoidance and anxiety such that the negative effect of attachment avoidance is attenuated when attachment anxiety is high. These attachment style differences are mediated by a motive for emotional intimacy, suggesting that personal romantic consumption (e.g., reading a book) can serve as a surrogate to fulfill unmet relational needs. Notably, positioning products via types of romantic love serves as an important moderator: products positioned via companionate love are more appealing to securely attached consumers, products positioned via passionate love are more appealing to avoidant consumers, and anxious and fearful consumers find both equally appealing. Consistent with the notion of consumer-based strategy, we discuss how managers can leverage these insights in their segmentation, targeting, and positioning.

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1
The ubiquity of romantic consumption is also indicated by its considerable economic importance. For example, romantic novels generated $1.44 billion in sales in 2012, making it the largest book genre in the U.S. (http://​www.​rwa.​org/​p/​cm/​ld/​fid=​578); romantic movies generate, on average, $100+ million per movie (Stokes 2015); online dating is a $2+ billion industry (Cesar 2016); consumers spent almost $20+ billion on Valentine’s Day (e.g., on candy, greeting cards, flowers) (Mejia 2018); and the wedding industry is a $50+ billion business per year (IBISWorld 2017).
 
2
Gift-giving is not always romantic consumption (e.g., gifts to parents); vice versa, romantic consumption frequently is not gift-giving (e.g., reading romantic books). However, because we recognize that romantic consumption can involve gifts, one of our studies will also examine giving/receiving romantic greeting cards.
 
3
The prediction for anxious and fearful consumers relative to secure consumers will depend upon whether the positive drive of attachment anxiety can overcome the negative associations generally held by the insecure and the barrier of attachment avoidance—an open question that our research will examine.
 
4
The Experiences in Close Relationships (ECR) Scale (Brennan et al. 1998), is a prominent inventory to measure attachment avoidance and anxiety as continuous dimensions. A reliance upon main effects models complicates interpretation of prior findings because it not only excludes discovery of important interaction patterns (as we predict) but could potentially lead to observation of main effects that would not emerge were an interaction incorporated into the focal model.
 
5
A pretest for Study 1 (and all subsequent studies) were supportive and are fully reported in the Web Appendix.
 
6
Recall that we examine attachment styles as a function of the anxiety and avoidance dimensions. Schachner and Shaver (2004, p. 190) note that “when anxiety and avoidance interact, it is easiest to describe the results meaningfully by using the attachment-category names.” Therefore—for ease and clarity of exposition—we refer to the regions of relatively low/high anxiety and low/high avoidance as follows: secure (low avoidance, low anxiety; abbreviated SEC), avoidant (high avoidance, low anxiety; AV), anxious (low avoidance, high anxiety; ANX) and fearful (high avoidance, high anxiety; FEAR).
 
7
In this and in all studies, the findings were robust to relationship status. Specifically, when removing relationship status from the models, the anxiety-by-avoidance interaction and relevant contrasts all remain consistent. An alternative analysis that includes relationship status, anxiety, avoidance, and their higher-order interactions produces a consistent pattern of results for each study: a null 3-way and a consistent anxiety × avoidance interaction.
 
8
Analysis of the female participants only reveals a consistent pattern. Furthermore, evaluations of the neutral fragrances were unaffected by attachment styles.
 
9
Post-clip viewing behavior (i.e., the choice to watch the rest of the romantic movie or to select a different movie) also reflected the interaction pattern (z = 1.86, p = .06).
 
10
Based on Oppenheimer et al. (2009), an instructional manipulation check was included (for quality, select “1” strongly disagree), and thirty-one participants were removed due to incorrect responses, leaving a sample size for analysis of N = 222 (NSec = 49; NAnx = 60, NAv = 56, NFear = 57). The pattern of results for the choice and process variables are consistent with inclusion of the full sample.
 
11
We also measured attitudes toward each option separately. Analysis of these ratings yields a pattern consistent with relative preference and supporting H1 and H3. Details omitted for brevity, please see the Web Appendix for supplementary analyses.
 
12
An additional study, included in the Web Appendix, demonstrates a conceptual replication in the context of consumer spending on a wedding (i.e., spending primarily associated with companionate love) versus a honeymoon (i.e., spending primarily associated with passionate love).
 
13
For example, the Romance Writers of America association (RWA) commissioned the market research company Nielsen to create an analysis of the “romance buyer” (romantic books are a $ billion market). The first two variables used to profile the “romance buyer” are age and gender (http://​www.​rwa.​org/​p/​cm/​ld/​fid=​578). Note that we control in our studies for both age and gender and we show that attachment styles are significant predictors (i.e., they add explanatory power above and beyond age and gender). This suggests that our focus on attachment styles introduces a novel facet that can help firms enrich their current approaches to segmentation and targeting.
 
14
The U.S.-based jewelry designer Tacori illustrates this idea by advertising its bridal jewelry with the tagline “Reveal Your Passion,” drawing on passionate love, but also promoting it with the slogan “Are You All In?”, evoking companionate love (www.​tacori.​com). Although this approach is fully aligned with our idea of promoting passionate versus companionate love, our findings suggest this marketing approach will be suboptimal if the firm were to approach secure consumers with the passionate positioning and avoidant consumers with a companionate positioning; if reversed, the likelihood of successful marketing is significantly higher.
 
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Metadaten
Titel
The marketing of love: how attachment styles affect romantic consumption journeys
verfasst von
Martin Mende
Maura L. Scott
Aaron M. Garvey
Lisa E. Bolton
Publikationsdatum
10.10.2018
Verlag
Springer US
Erschienen in
Journal of the Academy of Marketing Science / Ausgabe 2/2019
Print ISSN: 0092-0703
Elektronische ISSN: 1552-7824
DOI
https://doi.org/10.1007/s11747-018-0610-9

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