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Jurnal SINTA 2

REMARKETING MEDIA ALTERNATIVES BASED ON CUSTOMER PREFERENCES

JUTI: Jurnal Ilmiah Teknologi Informasi · Vol. 18 No. 2 (2020) · pp. 188–196

DOI
10.12962/j24068535.v18i2.a1007
ISSN
2406-8535, 1412-6389
Published
2020-07-31
Publisher
Institut Teknologi Sepuluh Nopember
Language
eng

Abstract

Remarketing is a powerful tool for marketers to offer products over and over to existing customers or potential customers. By using remarketing, the marketers target to further down their sales funnel. As in traditional marketing, most online marketers find it challenging to deliver the best way of advertising their products according to what customers need or like. This research aims to achieve the right promotional media alternatives based on customer preferences. A clustering method was used to perform behavior segmentation on sales data. Then, customer reviews on the purchased products collected from online platforms were analyzed to obtain customer preferences. Finally, customer preference was mapped to some suitable promotion media. The experiment result showed that pipelining sales data and product reviews could obtain definite and distinct promotional media based on customer preference. Overall, this research may help online marketers bundle specific remarketing content into promotional media that matches to customer favorites.

Collaboration network of the authors

8 authors · 18 co-authorship links

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  • Institut Teknologi Sepuluh Nopember
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
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Co-authorOrganisationJoint articles
Dwi SunaryonoInstitut Teknologi Sepuluh Nopember1
Bambang Dwi Prasetyo RamadhanInstitut Teknologi Sepuluh Nopember1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://juti.if.its.ac.id/index.php/juti/oai, first harvested 26 Okt 2026, last seen 1 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en">REMARKETING MEDIA ALTERNATIVES BASED ON CUSTOMER PREFERENCES</dc:title>
	<dc:creator xml:lang="en">Ahmadiyah, Adhatus Solichah</dc:creator>
	<dc:creator xml:lang="en">Aidah, Faridatul</dc:creator>
	<dc:creator xml:lang="en">Meutia, Navinda</dc:creator>
	<dc:creator xml:lang="en">Rahmadina, Denise</dc:creator>
	<dc:creator xml:lang="en">Lumbantobing, Daniel</dc:creator>
	<dc:creator xml:lang="en">Anggraini, Ratih</dc:creator>
	<dc:description xml:lang="en">Remarketing is a powerful tool for marketers to offer products over and over to existing customers or potential customers. By using remarketing, the marketers target to further down their sales funnel. As in traditional marketing, most online marketers find it challenging to deliver the best way of advertising their products according to what customers need or like. This research aims to achieve the right promotional media alternatives based on customer preferences. A clustering method was used to perform behavior segmentation on sales data. Then, customer reviews on the purchased products collected from online platforms were analyzed to obtain customer preferences. Finally, customer preference was mapped to some suitable promotion media. The experiment result showed that pipelining sales data and product reviews could obtain definite and distinct promotional media based on customer preference. Overall, this research may help online marketers bundle specific remarketing content into promotional media that matches to customer favorites.</dc:description>
	<dc:publisher xml:lang="en">Institut Teknologi Sepuluh Nopember</dc:publisher>
	<dc:date>2020-07-31</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://juti.if.its.ac.id/index.php/juti/article/view/1007</dc:identifier>
	<dc:identifier>10.12962/j24068535.v18i2.a1007</dc:identifier>
	<dc:source xml:lang="en">JUTI: Jurnal Ilmiah Teknologi Informasi; Vol. 18, No. 2, July 2020; 188-196</dc:source>
	<dc:source>2406-8535</dc:source>
	<dc:source>1412-6389</dc:source>
	<dc:source>10.12962/j24068535.v18i2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://juti.if.its.ac.id/index.php/juti/article/view/1007/433</dc:relation>
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