This document discusses personalization and how it can be implemented in Drupal. It defines personalization as automatically adapting a website to better meet the needs of each individual visitor. It recommends using web experience management, real-time input, and recommendations to drive personalization. Both explicit personalization using profile fields and taxonomy, and implicit personalization using adaptive learning from visitor patterns and behaviors are described. Commerce examples like product recommendations and abandoned cart reminders are provided. The document also notes that while Drupal supports explicit personalization well, additional modules can help it also do implicit personalization through activities like segmentation and event tracking.
17. Why do you need it?
• You are losing business
• More effectively reach your audience
• Increase conversion & revenue
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18. The competition
• Drupal loses when Personalisation is a key
“must have”
• 1 out of 2 tenders have it mentioned
• Sitecore —$100,000,000 in APAC
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23. Dirty little secret #1
• Monolithic suite is forced on customer
• One-size-fits-all
• Jack of all, master of none
• Take it or leave it
• Costs blow out
• Drupal gives you freedom to choose best of breed
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24. Dirty little secret #2
• Poor performance
• Requires full dynamic pages for each user
• This is not scaleable
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25. Personas
“By categorizing and segmenting your site visitors, you
can tailor their journey to provide the best experience
and increase engagement.” — Sitecore
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29. Retention
!
• Attracting a new customer costs five times as much
as keeping an existing one. (Lee Resources 2010)
• Globally, the average value of a lost customer is
USD $243.(KISSmetrics)
• The probability of selling to an existing customer is
60 – 70%. The probability of selling to a new
prospect is 5-20% (Marketing Metrics)
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30. Co-operative Travel, UK — 95% increase in visitors
and 217% increase in revenue
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31. Magazine Luiza — 190% increase in visitors
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39. Implicit Parameters
• user patterns
• geo-location
• user device
• time-of-day
• browsing history
• weather
• and many more….
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41. Commerce
• People who viewed this also viewed
• People who purchased this also purchased
• Recommendations based on prior purchases
• Personalised emails
• price drop
• abandoned cart items
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