Sample Masters Marketing Dissertation Discussion Chapter

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Chapter 5: Discussion

This chapter interprets the findings presented in Chapter 4 and situates them within the wider body of marketing scholarship. It revisits the research aim and questions, explaining what the results mean and why they may have occurred.

The discussion moves from empirical observation to critical interpretation. It compares the study’s outcomes with prior literature, draws out theoretical and practical implications, and acknowledges the limitations that qualify these conclusions before linking forward to the concluding chapter.

5.1 Overview of the Study’s Aim

The overarching aim of this dissertation was to examine how social media marketing influences consumer brand loyalty among UK consumers. It adopted a mixed-methods design, combining a survey of 214 respondents with 12 semi-structured interviews for explanatory depth.

Four research questions guided the enquiry. These asked whether social media marketing affects brand loyalty, whether brand engagement mediates that relationship, which content types matter most, and how influencer credibility and trust shape consumer responses.

Together, the quantitative and qualitative strands offered both breadth and richness. The survey established statistical relationships across a broad sample, while the interviews illuminated the reasoning, emotions and lived experiences underpinning those numerical patterns among engaged social media users.

5.2 Interpreting the Key Findings

The findings coalesced around four themes: the mediating role of brand engagement, the primacy of interactive content, the moderating power of influencer credibility, and the centrality of trust. Each is interpreted in turn below.

Brand engagement as the mechanism of loyalty

Social media marketing exerted a strong positive effect on brand loyalty, but this effect operated largely through brand engagement. Rather than acting directly, marketing activity appears to build loyalty by drawing consumers into sustained, participatory interaction with the brand.

This suggests that exposure alone is insufficient. When consumers comment, share and co-create, they invest cognitive and emotional resources in the brand. That psychological investment plausibly deepens attachment, making loyalty a downstream consequence of active engagement rather than passive reach.

Interview participants reinforced this reading. Several described feeling “part of a community” when brands responded to them, and this sense of reciprocity strengthened their commitment. Engagement, therefore, functions as the connective tissue between marketing stimulus and loyal behaviour.

Interactive and user-generated content over promotion

Interactive and user-generated content mattered more than overtly promotional content. Consumers responded more favourably to posts inviting participation, authentic peer voices and behind-the-scenes material than to discount-led or sales-oriented messaging on brand channels.

A likely explanation lies in perceived authenticity and control. User-generated content signals genuine endorsement from peers rather than paid persuasion. Interactive formats also grant consumers agency, positioning them as contributors rather than targets, which may reduce persuasion resistance and reactance.

Promotional content was not irrelevant, but its influence was transactional and short-lived. Interviewees valued offers yet did not associate them with loyalty, describing them as reasons to buy once rather than reasons to remain committed over time.

Influencer credibility as a moderator

Influencer credibility significantly moderated the relationship between social media marketing and brand loyalty. The same marketing activity produced stronger loyalty effects when channelled through influencers whom consumers judged to be trustworthy, expert and genuinely aligned with the brand.

This pattern implies that endorsement is not automatically persuasive. Consumers appear to scrutinise the messenger, weighing perceived expertise and sincerity before accepting the message. Where credibility is high, marketing gains legitimacy; where it is low, the same content can feel manipulative.

Qualitative accounts echoed this. Participants distinguished sharply between influencers they “believed” and those they saw as “just paid to post”. Perceived commercial motive eroded credibility, dampening the persuasive force of otherwise identical promotional collaborations across the sampled brands.

Trust as the decisive predictor

Trust emerged as the strongest single predictor of repurchase intention, surpassing satisfaction and engagement in explanatory power. Consumers who trusted a brand were markedly more inclined to buy again, irrespective of periodic dissatisfaction with individual purchases.

This centrality is intuitive in digital contexts characterised by information asymmetry and perceived risk. Trust reduces uncertainty, reassuring consumers that the brand will honour its promises. It therefore functions as a cognitive shortcut that stabilises repurchase behaviour over time.

Notably, trust appeared to be built cumulatively through consistent, transparent social media conduct. Prompt responses, honest communication and reliable service delivery were repeatedly cited as trust signals, positioning day-to-day interaction as the quiet engine of long-term loyalty.

5.3 Comparison with the Existing Literature

The finding that social media marketing enhances loyalty through engagement aligns with the foundational view of social media as participatory rather than broadcast media (Kaplan and Haenlein, 2010). It supports engagement-centred models of value co-creation.

The mediating role of brand engagement corroborates Hollebeek, Glynn and Brodie (2014), who position consumer brand engagement as a critical driver of loyalty outcomes. The present study extends their framework by demonstrating this mediation specifically within a UK cross-sector social media context.

The primacy of user-generated over promotional content is consistent with Muntinga, Moorman and Smit (2011), whose work on online brand-related activities highlights consumers’ preference for participatory engagement. It reinforces the argument that authenticity outweighs overt persuasion in social settings.

Findings on influencer credibility resonate with source credibility theory (Ohanian, 1990) and with more recent evidence from Lou and Yuan (2019), who link influencer trustworthiness and expertise to brand awareness and purchase intention. The moderating effect observed here reinforces their conclusions.

The dominance of trust echoes relationship marketing scholarship, particularly the commitment-trust theory of Morgan and Hunt (1994). It supports their claim that trust is a cornerstone of durable exchange relationships, now evidenced within a contemporary social media environment.

However, some findings extend or qualify prior work. Whereas earlier studies often treat promotional content as a straightforward loyalty driver, this research suggests its influence is transactional. That nuance contradicts assumptions embedded in simpler stimulus-response models of advertising effectiveness.

The study also extends De Veirman, Cauberghe and Hudders (2017) by showing that credibility does not merely affect attitudes but conditions the strength of the marketing-loyalty relationship itself. Credibility thus operates as a boundary condition, not only a direct antecedent.

5.4 Theoretical Implications

These findings carry several implications for theory. Most importantly, they position brand engagement as a mediating mechanism rather than a mere outcome, suggesting that loyalty models should treat engagement as a process variable connecting marketing stimuli to relational results.

The results also advocate an integrated theoretical lens. Combining source credibility theory with commitment-trust theory captures the social media dynamic more completely than either alone, since persuasion depends jointly on who delivers the message and whether the brand is trusted.

Furthermore, the moderating role of credibility encourages a contingency perspective. The effect of social media marketing is not uniform; it is conditional upon message-source characteristics. Future models should therefore specify moderators rather than assuming a fixed marketing-loyalty coefficient across contexts.

Finally, the study contributes contextual specificity. By evidencing these relationships among UK consumers through mixed methods, it strengthens the external and ecological validity of engagement- and trust-based theories that were frequently developed in different national or single-platform settings.

5.5 Practical Implications

For marketers, the findings offer actionable guidance. Because engagement mediates loyalty, brands should prioritise two-way interaction over one-way promotion, designing content that invites participation, responds promptly and cultivates a genuine sense of community among followers.

Content strategy should rebalance toward authentic formats. Practitioners are advised to:

• Amplify user-generated content and customer stories rather than relying on discount-led posts.
• Create interactive formats such as polls, questions and live sessions that grant consumers agency.
• Treat promotions as acquisition tactics, not loyalty tools, and measure them accordingly.

Influencer selection warrants particular care. Since credibility moderates effectiveness, brands should choose partners for perceived expertise and authenticity rather than reach alone. Transparent, well-matched collaborations will generate stronger loyalty than high-profile but poorly aligned endorsements.

Above all, brands should manage trust as a strategic asset. Consistent service, honest communication and transparent responses to complaints build the trust that most strongly predicts repurchase. Investment in reliability may yield greater returns than incremental spending on paid promotion.

These implications are mutually reinforcing. Authentic content fuels engagement, credible influencers lend legitimacy, and consistent conduct deepens trust. A coherent social media strategy should therefore integrate all four elements rather than optimising any single lever in isolation.

5.6 Limitations of the Study

Several limitations qualify these conclusions. The survey sample of 214 UK consumers, while adequate for analysis, is not fully representative of the broader population. Findings may not generalise to other national markets or demographic groups without further testing.

The cross-sectional design captures relationships at a single point in time. Consequently, causal claims must be made cautiously, as loyalty, trust and engagement evolve dynamically and may influence one another reciprocally over longer periods than this study could observe.

Reliance on self-reported measures introduces potential bias. Respondents may have answered in socially desirable ways or inaccurately recalled behaviour. Actual purchasing and engagement data would provide a more objective complement to the attitudinal measures used here.

The qualitative strand, comprising 12 interviews, offers depth but limited breadth. While it enriched interpretation, the small number of participants means emergent themes should be treated as illustrative and transferable rather than statistically generalisable across all consumer segments.

Finally, the study treated social media marketing broadly rather than isolating specific platforms. Because platform cultures differ, aggregating across channels may mask meaningful variation in how engagement, content and credibility operate on, for example, Instagram versus LinkedIn.

Taken together, these interpretations, comparisons and implications provide a foundation for the concluding chapter. Chapter 6 will synthesise these insights, answer the research questions directly, and set out recommendations for practice alongside avenues for future research addressing the limitations identified above.

References

Kaplan, A.M. and Haenlein, M. (2010) ‘Users of the world, unite! The challenges and opportunities of social media’, Business Horizons, 53(1), pp. 59-68.

Ohanian, R. (1990) ‘Construction and validation of a scale to measure celebrity endorsers’ perceived expertise, trustworthiness, and attractiveness’, Journal of Advertising, 19(3), pp. 39-52.