The document discusses the importance of intelligent personalization for businesses. It notes that consumers generally prefer personalization, like being addressed by name, as long as it is not "creepy". The document outlines 7 principles of intelligent personalization: being seamless across channels, considering context, using behavioral data to create personas, being dynamic and real-time, focusing on how personalization improves the customer experience rather than just what is personalized, and making personalization invisible rather than overtly promotional. Examples are given of how Amazon and Netflix exemplify these principles through highly personalized recommendations and experiences.
1. Beyond the Basics:
Why Consumers Are Demanding
Intelligent Personalisation
Kristian Bannister | Senior Marketing Manager at Pure360 |
www.pure360.com
3. What I’ll cover today...
● The current state of personalisation
● Why brands need to prioritise personalisation
● 7 principles of intelligent personalisation
● Examples of intelligent personalisation in
action
12. Why prioritise personalisation?
88%
of people prefer
shopping with retailers
who offer personalised
cross-channel
experiences.
93%
of companies see an
uplift in conversion
rates using
personalisation.
ECONSULTANCYSWIRL NETWORKS
15. “If we have 4.5 million customers,
we shouldn’t have one store. We
should have 4.5 million stores.”
JEFF BEZOS, Founder and CEO of Amazon
16. “If we have 4.5 million customers,
we shouldn’t have one store. We
should have 4.5 million stores.”
JEFF BEZOS, Founder and CEO of Amazon
From an interview in 1998!
17. If Netflix stopped at basic personalisation
They got my
name right
Same content
for everyone
22. The business case
Increase
conversion rates
Increase average
order values
Improve
marketing ROI
Increase
customer lifetime
value
Our customers average 22% more online revenue
with cross-channel personalisation
29. At a minimum:
● Multiple visits
Travel path to purchase
The average person:
● Visit 38 websites
● Spends 30 hours
● Over a 5 week period
ECONSULTANCY
EXPEDIA
35. The customer’s context
● Demographics
● Location
● Device
● Time of day, day of week
● Seasonal
● Customer journey position
● Satisfaction
36. The customer’s context
● Demographics
● Location
● Device
● Time of day, day of week
● Seasonal
● Customer journey position
● Satisfaction
Your products/services
● Motivation: Desire or necessity
● Likelihood of repurchase
● Price
● How and when they’re used
37. Replenishment emails
● Already purchased
● Likely to purchase again
● Doesn’t want to go without
● Average replenishment after 20 weeks
39. Demographic based personas
● Age
● Gender
● Marital status
● Children
● Location
● Occupation
● Household income
● Education
● Work experience
40. Demographic based personas
● Age
● Gender
● Marital status
● Children
● Location
● Occupation
● Household income
● Education
● Work experience
Behavioural based personas
● Customer journey stage
● Customer lifetime
● Frequency of purchase
● Satisfaction
● Marketing engagement
● Price sensitivity
42. Hesitant
VIP
Lapsed
Yet to make a purchase
Price sensitive
Timed coupon
Browse/cart abandonment email
Very responsive to marketing
Impulse buyer
Exclusive sale access
Post-purchase upsell
Hasn’t purchased in a while
Unresponsive to marketing
‘We miss you’ discount
Behaviour Offer
43. Land CartBrowse Abandon Buy
Trending
products
Personalised
homepage
banners
Replenishment
Exit Intent Pop-
over
User Generated
Content
Cart
Abandonment
email
2nd purchase
discount
Personalised recs
Individual
coupons
Post sale trigger
Browse
Abandonment
Cross-sell
recommendations
Up-sell
recommendations
Price-drop alert /
back in stock
alerts
Replenishment
Customerlifecyclestage
Email
Social Proof
Live recs
Live coupons
Hesitant
VIP
Lapsed
58. “If we have 4.5 million customers,
we shouldn’t have one store. We
should have 4.5 million stores.”
JEFF BEZOS, Founder and CEO of Amazon
59. Rethinking the homepage
Personalised navigation bar
Real-Time banners based on local weather
forecasts
Recommendations based on previously
browsed or people like you buy....
Real-time offers based on past purchases
Call to actions based on customer lifecycle
60. 7 Principles of Intelligent Personalisation
1. Seamless
2. Contextual
3. Behavioural
4. Real-time
5. Dynamic
6. Think ‘How’ not just ‘What’
7. Invisible
Increased expectations customers have
Like netflix, seamless experience across multiple devices. Watching ‘jessica jones’ on your tv, you could pick up where you left off on your tablet.
Similarly they’re going to personalise the content you see based on your previous viewing behaviour and the using the wisdom of the crowd make smart recommendations