E-Commerce Website Optimization

Höfundur Dan Croxen-John; Johann van Tonder

Útgefandi Kogan Page

Snið ePub

Print ISBN 9781789664423

Útgáfa 2

Útgáfuár 2021

4.390 kr.

Description

Efnisyfirlit

  • Cover
  • Endorsements
  • Titlepage
  • Contents
  • List of figures and tables
  • Figures
  • Tables
  • Preface
  • Acknowledgements
  • 01 Introduction to e-commerce optimization
  • E-commerce website optimization
  • Summary
  • Notes
  • 02 The kick-off
  • Be an evangelist
  • Get top-level support
  • Get the team in place
  • Gathering evidence
  • Experimentation platform
  • How to deal with resistance
  • Summary
  • Notes
  • 03 Gather data
  • From data to insights
  • Extract insights like the CIA
  • Problem framing
  • Summary
  • Notes
  • 04 Behavioural research
  • Website analytics
  • User journey mapping
  • Session replay
  • Usability testing
  • Heuristic evaluation
  • Customer immersion
  • Site search
  • Form analysis
  • Summary
  • Notes
  • 05 Voice of customer
  • Interviews
  • E-mail surveys
  • Feedback and transcript analysis
  • On-site polls
  • NPS survey
  • Value proposition
  • Competitor analysis
  • Put it all together in personas
  • Summary
  • Notes
  • 06 Merchandising analytics
  • New product analysis
  • Ratio analysis
  • Look-to-book analysis
  • Price-point analysis
  • Price testing
  • Summary
  • Notes
  • 07 Create an experimentation roadmap
  • How to prioritize test ideas
  • Prioritization frameworks
  • The experimentation roadmap
  • Summary
  • Notes
  • 08 From hypothesis to experiment
  • What is a hypothesis?
  • Why you need hypotheses
  • From hypothesis to test
  • Summary
  • Notes
  • 09 Testing your hypothesis
  • Online experimentation
  • Types of online experiments
  • Big or small changes?
  • Statistics for optimizers
  • The test brief
  • When to stop a test
  • Testing on low-traffic sites
  • How to avoid common pitfalls
  • Post-test analysis
  • Make the winning experience live
  • Document test results
  • Summary
  • Notes
  • 10 Personalization
  • Data and segments
  • When to do personalization
  • Technical options for personalization
  • Personalization vs A/B testing
  • Summary
  • Notes
  • 11 Optimizing the optimization
  • Summary
  • Notes
  • 12 Optimization people and culture
  • How to find, select and motivate in-house optimizers
  • Obstacles to a culture of optimization
  • When to outsource
  • Summary
  • Notes
  • 13 The science of buying
  • Why do people buy?
  • Six principles of influence
  • The buying decision-making process
  • FBM model of behaviour
  • Summary
  • Notes
  • 14 Launching a new website
  • Five stages of a new website
  • Summary
  • Notes
  • Index
  • Copyright
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