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The Work of Mad Men that Makes the Methods of Math Men Work: Practically Occasioned Segment Design

Published: 18 April 2015 Publication History

Abstract

This study concerns the practical methods used to design segmentation models for digital advertising. I illuminate some of the collaborative activities workers rely on to create these web analytics based groupings. This work remains overlooked as the popularity of automation and statistical methods for segmenting customers continues to grow. I explain some of the ways the advertising customer is present as a background expectancy while workers make segment composition decisions. This approach is meant to complement established evaluative, technical, and statistical methods used to create segments and personas in design and marketing. This may inspire similar approaches to designing for specific groups of people while working with large data sets. Incorporating these customer-orienting practices in design and advertising processes could lead to novel approaches for both segment targeting and customer relationship management (CRM) software.

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MP4 File (p3275-clarke.mp4)

References

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Cited By

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  • (2022)Big Data, Small Personas: How Algorithms Shape the Demographic Representation of Data-Driven User SegmentsBig Data10.1089/big.2021.017710:4(313-336)Online publication date: 1-Aug-2022
  • (2022)The Data-Driven Persona RevolutionData-Driven Personas10.1007/978-3-031-02231-9_1(3-27)Online publication date: 8-Mar-2022
  • (2021)Data-Driven PersonasSynthesis Lectures on Human-Centered Informatics10.2200/S01072ED1V01Y202101HCI04814:1(i-317)Online publication date: 5-Feb-2021
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Published In

cover image ACM Conferences
CHI '15: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems
April 2015
4290 pages
ISBN:9781450331456
DOI:10.1145/2702123
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 April 2015

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Author Tags

  1. design
  2. ethnography
  3. ethnomethodology
  4. personas
  5. segmentation

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CHI '15
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CHI '15: CHI Conference on Human Factors in Computing Systems
April 18 - 23, 2015
Seoul, Republic of Korea

Acceptance Rates

CHI '15 Paper Acceptance Rate 486 of 2,120 submissions, 23%;
Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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Cited By

View all
  • (2022)Big Data, Small Personas: How Algorithms Shape the Demographic Representation of Data-Driven User SegmentsBig Data10.1089/big.2021.017710:4(313-336)Online publication date: 1-Aug-2022
  • (2022)The Data-Driven Persona RevolutionData-Driven Personas10.1007/978-3-031-02231-9_1(3-27)Online publication date: 8-Mar-2022
  • (2021)Data-Driven PersonasSynthesis Lectures on Human-Centered Informatics10.2200/S01072ED1V01Y202101HCI04814:1(i-317)Online publication date: 5-Feb-2021
  • (2021)Too few, too many, just rightElectronic Commerce Research and Applications10.1016/j.elerap.2021.10108349:COnline publication date: 1-Sep-2021
  • (2021)Socio-Technical HCI Design in a Wider ContextHuman Work Interaction Design10.1007/978-3-030-71796-4_10(267-280)Online publication date: 24-Sep-2021
  • (2020)Data-Driven Personas for Enhanced User Understanding: Combining Empathy with Rationality for Better Insights to AnalyticsData and Information Management10.2478/dim-2020-00054:1(1-17)Online publication date: Mar-2020
  • (2020)From flat file to interface: Synthesis of personas and analytics for enhanced user understandingProceedings of the Association for Information Science and Technology10.1002/pra2.21557:1Online publication date: 22-Oct-2020
  • (2019)Doing Collaborative Digital Advertising ConceptualizationProceedings of the 2019 Conference on Creativity and Cognition10.1145/3325480.3325496(60-70)Online publication date: 13-Jun-2019
  • (2019)Creating Manageable Persona Sets from Large User PopulationsExtended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290607.3313006(1-6)Online publication date: 2-May-2019
  • (2018)Imaginary People Representing Real NumbersACM Transactions on the Web10.1145/326598612:4(1-26)Online publication date: 1-Nov-2018
  • Show More Cited By

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