Web personalization creates unique online experiences based on individual or consumer segment preferences to improve engagement and conversion rates. It utilizes various data types, including demographics and user behavior, to adjust content, promotions, and product recommendations in real-time. The document emphasizes the importance of adaptive personalization strategies to meet evolving consumer needs and enhance overall interaction and loyalty.

1. PERSONALIZATION
AS WE KNOW IT
DECEMBER 2015

2. What is web personalization?
“creating experiences on web sites or through
interactive media that are unique to individuals or
segments of consumers.”
Forrrester Research

3. Why do you need personalization?
To filter the
information
overload
on the web
To provide
experiences
considering
personal
preferences
To adopt to
the ever
changing
needs of
the users
Need for personal
experiences
Demanding
consumers
Information
clutter

4. What’s in it
for you?
CONVERSIONS
REVENUE
LOYALTY
INTERACTION

5. Which features could be
personalized?
Content
-Texts
-Elements
(Visuals, Buttons etc.)
- Colors
Messages
E-mails
Promotions
Product Offerings
Product
Recommendations
Pricing
Advertising

6. Which data is used to
personalize the web sites?
CONTEXT
Weather,
Location,
Mood,
Search Items,
Categories
INTERESTS
Pages Browsed,
Items Bought,
Genres of Music,
Ads Clicked
DEMOGRAPHICS
Age, Sex,
Education,
Income
SOCIAL DATA
Likes,
Tweets,
Follows,
Mentions

7. What is Predictive Personalization?
and targeting via scientific prediction methods
Activities enabling 1-1 user analysis
are called predictive personalization.

8. Why is Real Time Personalization a
‘Must’ rather than a ‘Nice to Have’?
User related data;
- Users’ interests
- Shopping trends
- Users’ life status
- Users’ context
(location, weather etc.)
Website related data
- Stock level
- Product campaigns
- Discounts/pricing
- Product sizes
- Website content
- Products offered
- Marketing strategy
- KPIs

9. EXAMPLES OF WEB
PERSONALIZATION
DISCOVERED ON THE WEB,
WITH PROUD

10. User Group1 sees Banner1
and Recommended Items Group1
User Group2 sees Banner2
and Recommended Items Group2
Homepage Personalization

11. Homepage Personalization
Caribou keeps
track of your
purchases.
By using this
data, Caribou
shows you
coffee types
you may like

12. Visual Content Personalization
User Group1 sees page with
a white background
User Group2 sees page with
a black background

13. Context Personalization
Existing category
filtering page
Category filtering page
personalized according to the
‘spring weather’ context

14. Personalized Offers
The existing
homepage
Personalized
discount
on the
most visited
item
Birthday
gift in the
form of a
discount
coupon
10% discount
if the first-
time
visitor is
about to
leave
the site

15. Personalized Real Time Product
Recommendations
The user is welcomed
with real time and
personalized
recommendations.
The recommendations
are updated each time
a new filter value is
chosen.

16. Personalized Product
Recommendations
Similar
product
recommendati
ons on the
product pages
help user
discover
products, more
easily

17. Personalized Product
Recommendations
Cross-sell
items help
increase the
order value

18. Personalized E-mail
Recommendations

19. A/B Testing for a better content
personalization
3 different placements of the
‘recommended content’ module:
Experiment applied by the teams of
Upworthy and Optimizely

21. JUMP IN THE
PERSONALIZATION TRAIN
NOW
FOR MORE
HAPPY CUSTOMERS
WWW.PERZONALIZATION.COM

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