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Konvertera, yes, no, maybe?: En studie inom SaaS-bolags digitala närvaro
University of Borås, Faculty of Librarianship, Information, Education and IT.
2024 (Swedish)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesisAlternative title
Convert, yes, no, maybe? : A study of the digital presence of a SaaS company (English)
Abstract [en]

This study explores the impact of information architecture (IA) through choice architecture on conversion rates for Software as a Service (SaaS) company websites. This study is performed as a case study where the research underscores the necessity of a well-balanced IA that effectively aligns user needs, content, and context. Although achieving this balance is complex, the findings illustrate that a comprehensive understanding of the interplay between IA and conversions can enhance conversion rates. By examining the most visited and highest converting pages over the study period, the research identifies key differences and commonalities among these pages. It goes into the relationship between visual affordances within IA, choice architecture and conversions, offering insights into how design elements influence user behavior and conversion outcomes. The data suggests that an increase in visual affordances aimed at promoting conversions does not necessarily boost conversion rates. Additionally, while visit duration appears to have minimal impact on conversions, there is a clear visitor preference for certain types of conversions than others. Integrating insights from previous research with the study's findings, the proposed formula to gauge the impact of design and IA on conversions is. This formula indicates the extent to which visual affordances impact conversions through IA, enhancing our understanding of how design affects user behavior and conversion rates on SaaS company websites.

Place, publisher, year, edition, pages
2024.
Keywords [sv]
Informationsarkitektur, Choice Architecture, konvertering, konverteringsgrad, SaaS-bolag, affordanser
National Category
Information Studies
Identifiers
URN: urn:nbn:se:hb:diva-32072OAI: oai:DiVA.org:hb-32072DiVA, id: diva2:1872592
Available from: 2024-06-19 Created: 2024-06-18 Last updated: 2024-06-19Bibliographically approved

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fulltext(1182 kB)60 downloads
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File name FULLTEXT01.pdfFile size 1182 kBChecksum SHA-512
5975201cb151a2273c613f926ec4832154aa08a16cae79b004328c0248abc79615ddab50bfbceac17a479b63317d5f7262b209bed4925e2c5b36ec61b3cc142b
Type fulltextMimetype application/pdf

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Faculty of Librarianship, Information, Education and IT
Information Studies

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • harvard-cite-them-right
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf