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Contact Name
Ikhsan Nendi
Contact Email
journaljdmseo@gmail.com
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+6289680104255
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journaljdmseo@gmail.com
Editorial Address
JL Pakembaran, Blok Kamarang, Desa Panembangan, Kecamatan Sedong, Kabupaten Cirebon, Jawa Barat 45189
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Kab. cirebon,
Jawa barat
INDONESIA
Journal of Digital Marketing and Search Engine Optimization
ISSN : 30901634     EISSN : 30901634     DOI : https://doi.org/10.59261/jseo.v2i1
Core Subject : Science,
The Journal of Digital Marketing and Search Engine Optimization (JSEO) is a peer-reviewed, open-access scholarly journal that provides a dedicated platform for the latest research and developments in digital marketing and SEO strategies. Published by Politeknik Siber Cerdika Internasional, JSEO aims to bridge academic theories and real-world marketing practices in the digital era. JSEO welcomes original research articles, case studies, theoretical frameworks, literature reviews, and practical reports from scholars, practitioners, and industry experts around the globe. Topics covered include, but are not limited to: - Search Engine Optimization (SEO) and Algorithm Updates - Content Marketing and Digital Branding - Social Media Strategies and Analytics - Paid Advertising (PPC) and Conversion Optimization - Consumer Behavior in Digital Environments - Mobile Marketing and Location-Based Services - Data-Driven Marketing and Marketing Automation - Influencer and Affiliate Marketing - E-commerce Marketing Techniques - AI and Machine Learning Applications in Marketing The journal is published biannually (two issues per year). It is committed to advancing the understanding of the digital marketing landscape by promoting interdisciplinary and cross-cultural studies that reflect global perspectives. All submissions undergo a rigorous double-blind peer review process to ensure quality and relevance. Accepted manuscripts are available freely online to encourage knowledge dissemination and academic exchange.
Articles 5 Documents
Search results for , issue "Vol. 2 No. 1 (2025): Journal of Digital Marketing and Search Engine Optimization" : 5 Documents clear
Integration of AI Chatbot in Digital Marketing Strategy: A Case Study on E-commerce Skincare Alifah, Nur
Journal of Digital Marketing and Search Engine Optimization Vol. 2 No. 1 (2025): Journal of Digital Marketing and Search Engine Optimization
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jseo.v2i1.6

Abstract

The development of digital technology is driving a major transformation in marketing strategies, one of which is through the integration of Artificial Intelligence (AI)-based chatbots in the e-commerce sector. This research is motivated by the need for skincare e-commerce to increase customer engagement, accelerate sales conversion, and build loyalty through a more personalized and efficient approach. This study aims to analyze the effect of AI chatbot integration in digital marketing strategies on customer engagement, sales conversion, and customer loyalty in the skincare e-commerce industry. The research method uses a descriptive qualitative approach with data collection techniques through in-depth interviews, observation, and documentation on several skincare e-commerce in Indonesia. Data were analyzed using the Miles and Huberman interactive analysis model, which includes data reduction, data presentation, and conclusion drawing. The results showed that the integration of an AI chatbot was able to increase the average duration of customer interactions, accelerate the buying process by increasing the conversion rate from 2.3% to 5.7%, and strengthen customer loyalty through data analytics-based personalization services. AI chatbots play an important role in optimizing the customer journey in a faster and more relevant way. The conclusion of this study confirms that the use of AI chatbots can be an effective strategy in strengthening the competitive position of skincare e-commerce in the digital era. The practical implications of this research encourage companies to develop chatbots based on customer behavior analytics and pay attention to customer data security aspects.
Utilization of Short-Form Videos (TikTok, Reels, Shorts) to Increase Brand Engagement and Visibility Fatimah, Ade Fitria; Nasir, Mohamad
Journal of Digital Marketing and Search Engine Optimization Vol. 2 No. 1 (2025): Journal of Digital Marketing and Search Engine Optimization
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jseo.v2i1.7

Abstract

The proliferation of social media has driven significant changes in digital marketing strategies, particularly through the utilization of short-form videos on platforms such as TikTok, Instagram Reels, and YouTube Shorts. Short-form videos are considered more effective in capturing the attention of modern audiences who prioritize speed of consumption and emotional engagement. This research aims to analyze how the use of short-form videos can increase brand engagement and visibility, as well as identify the key success factors of content on the three platforms. The research approach used is descriptive qualitative, with data collection techniques in the form of in-depth interviews with brand social media managers and observation of content performance on each platform. The results showed that content based on emotional storytelling, interactive elements, and the use of trending audio consistently increased engagement rates and brand visibility. TikTok showed the highest engagement rate, while Instagram Reels excelled in increasing visibility, and YouTube Shorts were effective in converting new followers. The success of the content is greatly influenced by understanding the characteristics of each platform's algorithm, authenticity of the narrative, and adapting to dynamic social trends. This study concludes that short-form content creation strategies need to integrate emotional, entertainment, informational, and algorithmic adaptation aspects to achieve maximum effectiveness. The practical implication of this research is the need for a cross-platform content approach that is adaptive and responsive to changes in digital audience behavior.
Data-driven Content Marketing Implementation: Increasing Engagement through SEO on Social Media Falah, Zidnal
Journal of Digital Marketing and Search Engine Optimization Vol. 2 No. 1 (2025): Journal of Digital Marketing and Search Engine Optimization
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jseo.v2i1.8

Abstract

The rapid development of the digital world has changed the pattern of interaction between companies and audiences, demanding more adaptive and data-driven marketing strategies. One increasingly important approach is the integration of data-driven content marketing and search engine optimization (SEO) to increase engagement on social media. This research aims to analyze how the implementation of data-driven content marketing combined with SEO can increase audience engagement, as well as identify supporting and inhibiting factors in its implementation. The research method used is descriptive qualitative, with data collection techniques in the form of in-depth interviews, observation, and documentation of digital marketing practitioners in the creative industry and e-commerce sectors. The results showed that the data-based content marketing strategy integrated with SEO was able to significantly increase engagement, as shown by the increase in likes, comments, shares, and saves on social media. The main supporting factors are the use of data analytics and managerial support, while inhibiting factors include changes in social media algorithms and limited human resources. In conclusion, the integration of data-driven content marketing and SEO is an effective strategy in increasing digital audience engagement. The implications of this research emphasize the importance of technological adaptation and strengthening team capacity in the face of evolving digital platform dynamics.
Utilizing Data Analytics to Improve Search Engine Marketing (SEM) Strategy in the Retail Industry Farizki, Rafi
Journal of Digital Marketing and Search Engine Optimization Vol. 2 No. 1 (2025): Journal of Digital Marketing and Search Engine Optimization
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jseo.v2i1.9

Abstract

In the competitive digital era, retail companies face the challenge of optimizing digital marketing strategies to increase visibility and conversions. One increasingly important approach is the integration of data analytics in Search Engine Marketing (SEM) strategies. This research aims to analyze how the implementation of multi-level data analytics can increase the effectiveness of SEM campaigns in retail companies. The method used is descriptive qualitative research with data collection techniques through in-depth interviews, observation, and documentation of retail companies that have implemented data-based SEM strategies. The results show that the comprehensive use of descriptive, predictive, and prescriptive analytics improves SEM performance, which is characterized by an increase in Click-Through Rate (CTR) of 128%, an increase in Conversion Rate of more than 100%, and a decrease in Cost Per Acquisition (CPA) by 42%. The integration of data analytics also encourages faster, more accurate, and responsive decision-making to changes in consumer behavior. In conclusion, the application of data analytics in SEM has a significant impact on improving the effectiveness of digital campaigns and the efficiency of using marketing budgets. The implications of this research emphasize the importance of developing analytics capacity and strengthening data infrastructure in companies to deal with the dynamics of the evolving digital market. This research also contributes to enriching the literature on data-driven marketing strategies in the digital era.
Analysis of the Use of Augmented Reality (AR) in Digital Marketing Campaigns: A Case Study of a Fashion Brand Nurhaliza
Journal of Digital Marketing and Search Engine Optimization Vol. 2 No. 1 (2025): Journal of Digital Marketing and Search Engine Optimization
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jseo.v2i1.10

Abstract

The development of digital technology has driven changes in marketing strategies, with Augmented Reality (AR) becoming one of the key innovations to increase consumer engagement. The use of AR in video-based social media platforms such as TikTok opens up new opportunities for fashion brands to create more interactive and immersive marketing experiences. This study aims to analyze the effectiveness of using AR in a fashion brand's digital marketing campaign on TikTok and identify the factors that influence it. The method used is qualitative research with a case study approach, through in-depth interviews with TikTok users and observation of AR campaign content of fashion brands active on the platform. The results show that AR visual quality, content relevance to TikTok trends, ease of filter access, and the level of filter interactivity are key factors in increasing consumer engagement and purchase interest. In addition, the emotional and entertainment experience offered by AR contributes to positive brand perception. The conclusion of this study confirms that AR is not just a technology gimmick, but an effective experiential marketing strategy. The practical implications of this research provide guidance for brands in designing more creative and relevant AR-based campaigns, while its academic contributions enrich the literature review on immersive technology-based digital marketing. This research also opens up opportunities for further exploration in other industry sectors and other social media platforms.

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