Introduction

The extensive digitization of consumer communication touchpoints has fundamentally transformed modern marketing ecosystems. Traditional mass-communication models, which broadcast identical messages to large and undifferentiated audiences, are gradually being replaced by highly focused, personalized engagement. In contemporary digital marketing, tailoring content to individual preferences has become a key determinant of campaign performance and conversion rates. Audiences now encounter far more promotional material than they can process, and messages that do not reflect their interests, needs, or context are quickly ignored. As a result, personalization is no longer a supplementary technique but a central element of strategic communication.

This shift is supported by the convergence of artificial intelligence, machine learning, and advanced customer relationship management (CRM) architectures. Together, these technologies enable the continuous, near real-time analysis of digital footprints, user interactions, and preference profiles. Marketers can observe how individuals search, click, move among platforms, and respond to different forms of content, and they can adjust their messages accordingly. The same capabilities that have transformed retail, banking, and entertainment are now becoming available to destination managers, although their application in tourism has developed at a much slower pace.

Despite widespread use in mainstream services and consumer goods, the strategic implementation of personalized promotional content remains significantly underexplored in specialized tourism segments. Geotourism is a particularly important example. It is characterized by the conservation of abiotic natural features, the interpretation of geological heritage, environmental sustainability, and the socioeconomic well-being of local communities. Visitors to geotourism destinations such as geoparks, volcanic landscapes, canyons, and fossil sites constitute a heterogeneous market segment. Their demographic and psychographic profiles differ markedly from those of conventional leisure tourists. At one end of the spectrum are expert geoscientists and educators who expect detailed technical information. At the other end are general nature tourists who are attracted mainly by scenery, outdoor activity, and aesthetic recreation. Between these groups lies a wide range of visitors with varying levels of knowledge, motivation, and environmental concern.

Standardized advertising strategies are ill-suited to addressing this diversity. When the same generic message is sent to every potential visitor, the result is marketing inefficiency, content clutter, and cognitive overload. Audiences become accustomed to ignoring promotional banners, a phenomenon known as banner blindness. Equally important, generic campaigns often fail to communicate the site-specific conservation values that distinguish geotourism from other forms of travel. A poster that highlights a waterfall says little about the geological processes that formed it or the reasons it must be protected.

Targeted engagement is essential for sustainable destination promotion. However, current research has yet to establish an integrated conceptual model that defines the antecedents and dimensions of personalized digital advertising within geotourism destinations. Existing studies tend to focus on individual technologies, specific consumer behaviors, or general tourism marketing, leaving the relationships among these elements largely unexamined. To address this gap, this study systematically synthesizes existing theoretical and empirical insights. Its objectives are to identify, categorize, and validate the structural factors that influence the personalization of online advertising content in geotourism destinations, and ultimately to propose an integrative conceptual framework that can guide both future research and practical decision-making.

Methodology

This study adopted a qualitative, developmental design based on a systematic literature review and interpretive meta-synthesis. Meta-synthesis was well suited to this objective because it integrates findings from different research traditions to produce new conceptual understanding, rather than simply summarizing individual studies. Given the fragmented nature of research on personalized advertising in geotourism, this approach enabled the researchers to combine insights from marketing, information systems, tourism management, and geoheritage studies into a coherent structure.

The investigative process followed the seven-step meta-synthesis protocol established by Sandelowski and Barros, which was designed to ensure transparency and rigor.

In the first step, the research scope and core questions were formulated. The review focused on the antecedents of online advertising content personalization, the dimensions that shape it, and the operational mechanisms through which it is applied to geotourism destinations.

In the second step, a systematic literature search was conducted using the Web of Science Core Collection. Precise Boolean search strings combined terms such as digital marketing, geotourism, content personalization, and online advertising. The search was restricted to peer-reviewed studies published between 2016 and 2026, capturing recent developments in artificial intelligence, geospatial technology, and data-driven marketing.

In the third step, the initial retrieval of 420 papers was screened according to explicit inclusion and exclusion criteria. Non-English papers were excluded, as were conference proceedings lacking complete methodological detail and studies that did not intersect thematically with personalization or nature-based tourism. This process yielded 31 final studies.

In the fourth step, the methodological quality of the retained papers was appraised using the Critical Appraisal Skills Programme (CASP) checklist, which confirmed the soundness of all included studies.

In the fifth step, thematic analysis and open coding were employed. Primary concepts, such as privacy concerns, real-time location data, or emotional storytelling, were extracted and grouped into higher-order codes, then consolidated into components and core dimensions. This layered process enabled the researchers to move from specific statements in individual papers to broader structural patterns.

In the sixth step, inter-coder reliability was assessed through a secondary, independent coding exercise. Agreement between the two coding processes, measured by Cohen’s Kappa, reached 0.908, indicating very high inter-rater agreement and analytical consistency.

In the final step, the extracted themes were synthesized into an integrative structural framework. The relationships among dimensions, components, and operational variables were examined to show how technological, psychological, experiential, and strategic factors interact in the personalization of geotourism advertising.

Results and Discussion

The meta-synthesis of the literature produced an integrative conceptual framework consisting of four core dimensions, thirteen structural components, and a set of underlying operational variables. Each dimension captures a distinct but interrelated aspect of personalized digital advertising in geotourism destinations. Together, they reveal that effective personalization depends not only on technical capability but also on psychological understanding, ethical responsibility, and creative design.

The first dimension encompasses technological and data enablers, which provide the analytical infrastructure required for granular user profiling. Its components include predictive analytics, real-time geospatial processing, generative artificial intelligence, and cross-platform CRM integration. Predictive analytics estimates which visitors are likely to be interested in a particular site, activity, or season. Real-time geospatial processing enables location-responsive content delivery, while generative artificial intelligence adapts content for different audiences at scale. Unified CRM integration connects data from websites, social platforms, and booking systems to create a unified visitor profile. Operational metrics include monitoring digital interaction paths, algorithmic clickstream analysis, and location-aware computing. Together, these tools enable dynamic advertising based on immediate spatial and temporal conditions, such as the weather at a viewpoint or the opening hours of a visitor centre.

The second dimension addresses audience psychographics and demographics, reflecting the heterogeneity of geotourism visitors. Its key components constitute specialized geotourist typologies, environmental and conservation consciousness, cognitive readiness, and sociodemographic characteristics such as age and educational background. Visitors who seek advanced scientific knowledge respond to content that explains stratigraphy, tectonic history, or erosion processes in precise terms. Visitors motivated by aesthetic or outdoor leisure respond more to images of landscapes, trails, and photographic opportunities. Distinguishing between these groups helps determine whether messages should emphasize technical geology or visual-recreational experiences. In both cases, the framework suggests that messages should reinforce environmental preservation norms, so that even recreational visitors come to value the protection of fragile geological features.

The third dimension covers user experience and perceptual constructs, reflecting the balance between content relevance and perceived privacy intrusiveness. Personalization can improve relevance, but it may also generate perceptions of surveillance or manipulation. Its components are privacy calculus, data governance transparency, digital trust calibration, and cognitive load reduction. Privacy calculus dynamics describe how users weigh the benefits of personalized content against the perceived costs of sharing their data. Data governance transparency concerns how clearly destinations explain what data they collect, why, and how it is used. Digital trust calibration refers to the gradual building of confidence between a destination and its audience, while cognitive load reduction avoids overwhelming users with repetitive messages. The findings indicate that excessive targeting without clear consent triggers surveillance perceptions and psychological reactance, undermining trust in the destination brand. Ensuring transparent data governance and minimizing invasive advertising are therefore critical for sustaining engagement and preventing banner blindness. In practice, this means offering clear consent options, limiting advertising frequency, and allowing users to adjust their preferences.

The fourth dimension involves strategic content design and omnichannel dissemination, which addresses how personalized campaigns are created, adapted, and delivered. It encompasses multimodal geo-storytelling, contextual messaging, immersive visual tools such as augmented reality, and coordinated omnichannel distribution. Geo-storytelling connects narratives to specific places, explaining how a landscape was formed and how local communities depend on it. Contextual messaging matches advertisements to the situation in which they appear, such as recommending a short geological trail to a visitor who is already nearby. Augmented reality presents otherwise invisible processes, such as glacial movement or volcanic activity, through mobile devices. Coordinated omnichannel distribution ensures that social, web, and direct channels reinforce one another rather than compete for attention. The literature also indicates that narratives should balance educational-rational appeals with experiential-emotional elements according to each segment. Scientific audiences may respond best to evidence and explanation, whereas leisure-oriented audiences may respond more to emotional engagement. Effective campaigns combine both approaches in proportions suited to the target group.

Taken together, the four dimensions indicate that the success of personalized advertising depends on the interaction among technological, psychological, ethical, and creative factors. Data tools alone do not guarantee marketing success. A destination may have sophisticated analytics yet fail to attract visitors if its messages do not reflect the psychological orientation of geotourists. Likewise, even a well-designed narrative may be ineffective if visitors lack confidence in how their personal data are collected and used. High advertising performance therefore requires aligning technological capability with geotourists’ psychological orientation, maintaining transparent data ethics, and delivering relevant multimedia narratives. These elements support two objectives simultaneously: visitor acquisition and environmental stewardship. Personalized content that informs visitors about conservation requirements can attract the right audience while encouraging responsible behavior on site.

Conclusion

This research contributes an integrative four-dimensional framework that conceptualizes the antecedents of personalized digital advertising in geotourism. The framework moves beyond the isolated treatment of technologies, audiences, or content by demonstrating how these elements interact within an integrated system. Theoretically, the study bridges modern computational marketing paradigms with geotourism management. It offers a structured model tailored to nature-oriented and heritage-based settings, where the promotion of a destination must be balanced against the protection of fragile geological resources.

Practically, the findings provide guidance for destination management organizations and tourism marketers who wish to move away from unfocused mass campaigns toward adaptive, context-aware digital strategies. Investing in dynamic recommendation algorithms and location-aware technologies can optimize marketing expenditures by reducing wasted impressions and directing messages to the visitors most likely to respond. Transparent data handling protocols are equally essential, since they sustain long-term user trust and reduce the risk of reactance. Furthermore, aligning customized messaging with educational geo-interpretation enables destination managers to regulate visitor flow patterns. By directing visitors toward suitable sites and encouraging responsible behavior, they can mitigate tourist pressure on sensitive geological heritage and support ecological preservation.

Future research should empirically validate this conceptual framework. Structural equation modeling could be employed to test the proposed relationships among dimensions and components across diverse national and international geoparks. Such studies would clarify which factors have the strongest effects on visitor intention and behavior. In addition, the longitudinal behavioral impacts of immersive technologies, such as augmented reality, deserve systematic investigation. Researchers should examine whether these technologies build lasting destination loyalty or whether their effects diminish over time as novelty fades.

Keywords

Personalization, Digital Marketing, Geotourism, Digital Advertising.