Post on 01-Feb-2023
transcript
Unlock the powerof data to create a personalizedexperience for yourcustomers.
UNLOCKING THE POWER OF CUSTOMER DATA
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Consumer behavior haschanged
We are living the "Consumer Age". The product is not the most important reason for a sale to take place. The customer has quickand easy access to information, can buy over the internet and various other channels.
"In the Consumer Age the onlysustainable advantage is the knowledgeand relationship with the customer."
Customerbehavior in the
past
Customerbehavior today
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Personalizing thecustomerexperience
Personalization is a means ofmeeting the customer's needsmore effectively and efficiently, making interactions faster andeasier and, consequently, increasing customer satisfactionand the likelihood of repeat visits.
Using customer data to better understand andsegment your customer base
Using Analytics to predict customers future behaviorbased on past behavior
Identifying the best customers
Focusing on products and services that meet the bestcustomers needs
Developing targeted marketing and sales activities
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WhyPersonalizationMatters
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 consumerhas had with the brand.
80% of shoppers are more likely to buy from a company thatoffers 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 understandwhen to approach them and when not to.
75% of consumers are more likely to buy from a retailer thatrecognizes them by name, recommends options based on pastpurchases, OR knows their purchase history.
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The importance of customer retention by the numbers
80%Of the revenue comes from only20% of its existing customers, but80% of marketing costs go towardsacquiring 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 youincrease customer retention rates by5%
82%of customers stop buying from a company for dissatisfaction
33%Is how frequent customers spendmore than new prospects
74%of clients consider therecommendation of other customersas the main motivator for a purchasedecision
Acquiring a new customer is 5 to 25 times more expensive than maintaining an existing one
Sources: Gartner Group / Harvard Business Review / Marketing Metrics
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Taking theRightApproach
DATA COLLECTION
SEGMENTATION
PERSONALIZATION
The key to segmenting and personalizing experiences is having solidcustomer data. The richer your data, the better your audience willunderstand and the better the segmentation and personalizationbased on this data.
After collecting valuable data, you can begin to analyzeit, looking for interesting correlations between groupsand segmenting customers by demographic, psychographic, common interests and behavior in interactions.
Personalize individual journeys,tailor offers or promotions,
generate recommendations, etc.
THEOPTIMAL
EXPERIENCE
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Types ofCustomerSegmentation
DEMOGRAPHIC
BEHAVIORAL
PSICOGRAPHIC
GEOGRÁPHIC
• Values• Attitudes• Interests• Lifestyles• Motivations• Priorities
• Purchasing habits• Spending habits• Buyer status• Brand interactions
• ZIP code• City• Country• Radius around a certain
location• Climate• Urban or rural
• Age• Gender• Income• Location• Family Situation• Annual Income• Education• Ethnicity
WHY?
WHAT?WHEN?HOW? WHERE?
WHO?
How do your customers differ fromeach other and how can you adaptto those differences?
Segmentation allows marketers toapproach individual marketing orhyper personalize eachindividual's content. Whengrouping contacts, segmentationmakes personalization more manageable.
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Transforming business priorities intopersonalized actions
Acquire New Customers
Retain your mostvaluable customers
Increase revenue for existing customers
Reduce customeracquisition andretention costs
Improve customerexperience
Question What is my ideal customer profile?
Who are your mostvaluable customers?
What is the nextbest offer?
Which customersare likely to buyagain?
Which customersare unhappy and atrisk of churning?
Segmentationtechnique Cluster Analysis RFM / CLV Association Rules Regression Analysis NPS Survey
Personalizedaction
Find the rightprospects Promotions / Offers Cross-selling Target the right
CustomersMeet customersexpectations
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OurMethodology
3Exploratory
data analysis
4Segmentation
5Targeting
Data4Sales provides a Customer Data Platform andConsulting Services that enablecompanies to implementCustomer Personalization
1Customer
Dataconsolidation
2Data
enrichment
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It is not necessary to import sensitive data from your customers (ege-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 willbe completely isolated from other customers and protected bysecurity tools.
Data protection
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Alexandre ChavesCEO
alexandre@data4sales.com
+598 92983-101
@alexandrechaves
data4sales.com