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HandWiki. Psychographic Segmentation. Encyclopedia. Available online: https://encyclopedia.pub/entry/33696 (accessed on 21 September 2026).
HandWiki. Psychographic Segmentation. Encyclopedia. Available at: https://encyclopedia.pub/entry/33696. Accessed September 21, 2026.
HandWiki. "Psychographic Segmentation" Encyclopedia, https://encyclopedia.pub/entry/33696 (accessed September 21, 2026).
HandWiki. (2022, November 09). Psychographic Segmentation. In Encyclopedia. https://encyclopedia.pub/entry/33696
HandWiki. "Psychographic Segmentation." Encyclopedia. Web. 09 November, 2022.
Psychographic Segmentation
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The content is sourced from: https://handwiki.org/wiki/Social:Psychographic_segmentation

Psychographic segmentation has been used in marketing research as a form of market segmentation which divides consumers into sub-groups based on shared psychological characteristics, including subconscious or conscious beliefs, motivations, and priorities to explain and predict consumer behavior. Developed in the 1970´s, it applies behavioral and social sciences to explore to understand consumers’ decision-making processes, consumer attitudes, values, personalities, lifestyles, and communication preferences. It complements demographic and socioeconomic segmentation, and enables marketers to target audiences with messaging to market brands, products or services. Some consider lifestyle segmentation to be interchangeable with psychographic segmentation, marketing experts argue that lifestyle relates specifically to overt behaviors while psychographics relate to consumers' cognitive style, which is based on their "patterns of thinking, feeling and perceiving".

social sciences market segmentation lifestyle

References

  1. Daniel Yankelovich; David Meer (2006). "Rediscovering Market Segmentation". https://hbr.org/2006/02/rediscovering-market-segmentation. Retrieved June 29, 2017. 
  2. Emanuel H. Demby (1989). "Psychographics Revisited: The Birth of a Technique". https://archive.ama.org/archive/ResourceLibrary/MarketingResearch/documents/9511240220.pdf. Retrieved June 30, 2017. 
  3. "VALS™ Market Research". https://www.sri.com/work/timeline-innovation/timeline.php?tag=seminal-innovations#!&innovation=vals-market-research. Retrieved June 30, 2017. 
  4. Alexandra Samuel (2016). "Psychographics Are Just as Important for Marketers as Demographics". https://hbr.org/2016/03/psychographics-are-just-as-important-for-marketers-as-demographics. Retrieved June 30, 2017. 
  5. Michael Hinshaw (2013). "5 Segmentation Lessons from CVS". http://www.cmo.com/opinion/articles/2013/7/8/_5_segmentation_less.html#gs.fiDMZFo. Retrieved June 30, 2017. 
  6. Pamela A. Weaver; Ken W. McCleary; Jiho Han; Phillip E. Blosser (2008). "Identifying Leisure Travel Market Segments based on Preference for Novelty". Journal of Travel & Tourism Marketing 26 (5–6): 568–584. doi:10.1080/10548400903163129.  https://dx.doi.org/10.1080%2F10548400903163129
  7. Sarah J. Hardcastle; Martin S. Hagger (2016). "Psychographic Profiling for Effective Health Behavior Change Interventions". Frontiers in Psychology 6: 1988. doi:10.3389/fpsyg.2015.01988. PMID 26779094.  http://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=4701903
  8. PatientBond (June 22, 2017). Psychographic Segmentation Defined. Retrieved February 25, 2020 – via YouTube. https://www.youtube.com/watch?v=DKIr2C6g3lA
  9. "Healthcare-Related Psychographic Segmentation". https://www.patientbond.com/psychographics. Retrieved February 25, 2020. 
  10. Lola Butcher (March 8, 2016). "Consumer Segmentation Has Hit Health Care. Here's How It Works". http://www.hhnmag.com/articles/6932-consumer-segmentation-has-hit-health-care-heres-how-it-works. Retrieved July 11, 2017. 
  11. Louis Jenis, MD; Tricia Gordon, NP; Thomas Cha, MD, MBA; Joseph Schwab, MD, MS (2017). "Paper 34. The Effectiveness of Personalized Electronic Patient Engagement Messaging Following Lumbar Spinal Fusion: A Pilot Study (Lumbar Spine Research Society 10th Annual Meeting: 2017 Meeting Abstracts)". Journal of Neurosurgery 42 (4): A1–A40. doi:10.3171/2017.4.FOC-LSRSabstracts. PMID 28384064.  https://dx.doi.org/10.3171%2F2017.4.FOC-LSRSabstracts
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