Digital Customer Analytics in PD

8 important questions on Digital Customer Analytics in PD

Contribution of MSD article (Patricio, 2011)

  • Designing complex service systems
  • designing dor customer experience
  • devleopment of interdisciplinary service design methods

Types of data performance management system in DM

survey, weblogs, feedback, focus groups

Elements of online service quality

  • Tangibles (ease of use, price)
  • Reliability (bugs, availability)
  • Respnsiveness (e-mail, speed)
  • Assurance & empathy (privacy, personalise)
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Aspects of high quality information

relevant, personalised, easy to find, timely, accurate, clear, detailed

Potential reasons for Attrition

  • wrong audience
  • clumsy naviagation
  • price uncompetitive
  • high shipping costs
  • failed delivery

Planned & actual customer journeys

  • Firms want to fix customer journeys
  • differentiation in customer joruney >> extra steps in reality
  • Several deviations and timing errors

Online user experience (hierarchical strucutre)

  • Pleasure
  • Usability
  • Functionality

Key concept in improving online customer experience

Usability  >>>The extent to which a product can be used by specified users to achieve specified goals/tasks with effectiveness (and with satisfaction).
-     Accessibility >>> To accommodate site usage using different browsers and settings so that it can be used by different groups of users/customers.
-    Persuasion >>> Maximising returns from web investments through measurement and optimisation using techniques including web analytics.

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