
This paper undertakes a comprehensive analysis of the role and importance of content marketing in developing brand trust and customer retention in the current digital age. Through a systematic analysis of recent industry research and evidence from 2021 to 2026, this study explores how content marketing strategies shape consumer perceptions and create trust and retention between consumers and brands. The study suggests a Trust-Driven Content Retention Framework (TDCRF), which differentiates between trust mechanisms, engagement routes, and retention outcomes. The analysis suggests that trust and credibility have become more important outcomes than engagement and lead generation from content marketing strategies, with 61% of marketers citing trust as the most important outcome from content marketing strategies. Consumer behaviors have become more demanding, with 75% of consumers reporting a negative perception about a brand after finding that product information is incomplete, and 44% deciding not to proceed with a purchase due to insufficient information. Furthermore, the trend towards micro-influencers and authentic partnerships with creators is gaining momentum, with 47% of marketers achieving the best results with micro-influencers, while 61% of consumers trust the recommendations of creators compared to traditional advertising campaigns. The comparative evaluation of the four analytical dimensions of content quality, partnerships with creators, transparency practices, and measurement systems shows that effective customer retention strategies involve the use of integrated approaches in which trust acts as the means and the end of content marketing strategies
Content marketing, Brand trust, Customer retention, Authenticity, Creator economy, Micro-influencers, Transparency, Customer loyalties
Content marketing, Brand trust, Customer retention, Authenticity, Creator economy, Micro-influencers, Transparency, Customer loyalties
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
