Data4Sales Presentation

1. Unlock the power
of data to create a
personalized
experience for your
customers.
UNLOCKING THE POWER OF CUSTOMER DATA

2. 2
Consumer behavior has
changed
We are living the "Consumer Age". The
product is not the most important reason for a
sale to take place. The customer has quick
and easy access to information, can buy over
the internet and various other channels.
"In the Consumer Age the only
sustainable advantage is the knowledge
and relationship with the customer."
Customer
behavior in the
past
Customer
behavior today

3. 3
Personalizing the
customer
experience
Personalization is a means of
meeting the customer's needs
more effectively and efficiently,
making interactions faster and
easier and, consequently,
increasing customer satisfaction
and the likelihood of repeat visits.
Using customer data to better understand and
segment your customer base
Using Analytics to predict customers future behavior
based on past behavior
Identifying the best customers
Focusing on products and services that meet the best
customers needs
Developing targeted marketing and sales activities

4. 4
Why
Personalization
Matters
Personalized emails deliver 6 times higher transaction rates.
Source: instapage
79% of consumers say they are only likely to engage with an offer if it
has been personalized to reflect previous interactions the consumer
has had with the brand.
80% of shoppers are more likely to buy from a company that
offers personalized experiences.
59% of customers say that personalization influences their shopping
decision
63% of consumers said they’d think more positively of a brand if it
gave them content that was more valuable, interesting or relevant.
81% of consumers want brands to get to know them and understand
when to approach them and when not to.
75% of consumers are more likely to buy from a retailer that
recognizes them by name, recommends options based on past
purchases, OR knows their purchase history.

5. 5
The importance of customer retention by the numbers
80%
Of the revenue comes from only
20% of its existing customers, but
80% of marketing costs go towards
acquiring new prospects
60 – 70%
Probability of making a new sale for
an existing customer, while for a new
prospect the probability is 5-20%
25 – 95%
It is the increase in profits when you
increase customer retention rates by
5%
82%
of customers stop buying from a
company for dissatisfaction
33%
Is how frequent customers spend
more than new prospects
74%
of clients consider the
recommendation of other customers
as the main motivator for a purchase
decision
Acquiring a new customer is 5 to 25 times more expensive than maintaining an existing one
Sources: Gartner Group / Harvard Business Review / Marketing Metrics

6. 6
Taking the
Right
Approach
DATA
COLLECTION
SEGMENTATION
PERSONALIZATION
The key to segmenting and personalizing experiences is having solid
customer data. The richer your data, the better your audience will
understand and the better the segmentation and personalization
based on this data.
After collecting valuable data, you can begin to analyze
it, looking for interesting correlations between groups
and segmenting customers by demographic,
psychographic, common interests and behavior in
interactions.
Personalize individual journeys,
tailor offers or promotions,
generate recommendations, etc.
THE
OPTIMAL
EXPERIENCE
CUSTOMER
EXPERIENCELEVEL

7. 7
Types of
Customer
Segmentation
DEMO
GRA
PHIC
BEHA
VIO
RAL
PSI
COGRA
PHIC
GEO
GRÁ
PHIC
• Values
• Attitudes
• Interests
• Lifestyles
• Motivations
• Priorities
• Purchasinghabits
• Spendinghabits
• Buyerstatus
• Brandinteractions
• ZIPcode
• City
• Country
• Radiusaroundacertain
location
• Climate
• Urbanorrural
• Age
• Gender
• Income
• Location
• FamilySituation
• AnnualIncome
• Education
• Ethnicity
WHY?
WHAT?
WHEN?
HOW?
WHERE?
WHO?
How do your customers differ from
each other and how can you adapt
to those differences?
Segmentation allows marketers to
approach individual marketing or
hyper personalize each
individual's content. When
grouping contacts, segmentation
makes personalization more
manageable.

8. 8
Transforming business priorities into
personalized actions
Acquire New
Customers
Retain your most
valuable customers
Increase revenue for
existing customers
Reduce customer
acquisition and
retention costs
Improve customer
experience
Question
What is my ideal
customer profile?
Who are your most
valuable customers?
What is the next
best offer?
Which customers
are likely to buy
again?
Which customers
are unhappy and at
risk of churning?
Segmentation
technique
Cluster Analysis RFM / CLV Association Rules Regression Analysis NPS Survey
Personalized
action
Find the right
prospects
Promotions / Offers Cross-selling
Target the right
Customers
Meet customers
expectations

9. 9
Our
Methodology
3
Exploratory
data
analysis
4
Segmentation
5
Targeting
Data4Sales provides a
Customer Data Platform and
Consulting Services that enable
companies to implement
Customer Personalization
1
Customer
Data
consolidation
2
Data
enrichment

10. 10
It is not necessary to import sensitive data from your customers (eg
e-mail, telephone). For segmentation, only categorical data (gender,
age group, city) will be used.
If you prefer, your data can be stored in your own infrastructure, as
long as there is the possibility of external access
We provide our infrastructure for the storage of your data. They will
be completely isolated from other customers and protected by
security tools.
Data protection

11. 11
Alexandre Chaves
CEO
alexandre@data4sales.com
+598 92983-101
@alexandrechaves
data4sales.com