Why is Customer Data Platform ?
Transform your marketing and sales capabilities with Big Data and A.I
Nguyễn Tấn Triều (Thomas)
Founder of BigDataVietnam.org
My personal email: tantrieuf31@gmail.com
This presentation is structured as “Start with why"
CDP
How does CDP work?
CDP as customer-first
marketing platform
Our roadmap in this slide
Warm-up questions
1. Why is Customer Data Platform (CDP) ?
Case study: Enhancing the revenue of your restaurant with CDP and mobile app marketing
Question: Why can CDP disrupt business model for restaurant industry (B2C) ?
2. How would CDP work in practice ?
Introducing USPA.tech as logical framework for implementing CDP in practice
How Can a Customer Data Platform Enhance Your Account-Based Marketing Strategy (B2B) ?
3. How can we implement CDP for business?
Introducing the CDP as customer-first marketing platform for all industries (my key idea in this slide)
Warm-up questions about Customer Data Platform (CDP)
1. When customer data is collected ?
2. Can we apply CDP for dating (hẹn hò / tìm người yêu) ?
3. What company already implemented CDP so successfully in
e-commerce ?
When customer data is collected ?
→ Since human invented the marketplace (chợ)
Source: https://www.amazon.com/Predictive-Marketing-Marketer-Customer-Analytics/dp/1119037360
Industry 4.0
Source: https://www.amazon.com/Predictive-Marketing-Marketer-Customer-Analytics/dp/1119037360
Customer-firstProduct-second
Can we apply CDP for dating (hẹn hò / tìm người yêu) ?
→ Tinder, OkCupid
https://practicalanalytics.co/2015/05/29/love-sex-and-predictive-analytics-tinder-match-com-and-okcupid/
https://www.cnbc.com/2019/08/07/tinder-results-add-more-than-5-billion-to-match-market-cap.html
User Profile Analytics Report for Dating App ?
Dating Journey Map is just like Customer Journey Map
What company already implemented CDP so successfully
in e-commerce?
→ Amazon.com
Source:
https://www.quora.com/What-is-the-best-customer-data-platform
https://www.bigdatavietnam.org/2019/09/how-to-build-personalized-news.html
(1) Why is Customer Data Platform (CDP) ?
Fact: Data is the raw material for any decision
Business Model
Why is Customer Data Platform (CDP) ?
→ Because data is the raw material for any decision
For Humanism For Politics
Case Study:
How to optimize the revenue of your restaurant with CDP
(or Big Data in Food Industry )
'Big Data' showcase on KFC account
Video link: https://www.youtube.com/watch?v=jplbs6yt6Dw
7 Uses of Big Data in Food and Beverages Industry
1. On-time Delivery → Customer Satisfaction
2. Operational Efficiency → Customer Loyalty
3. Sentiment Analysis → Customer Satisfaction
4. Better Quality → Customer Satisfaction
5. Personalization → Customer Engagement
6. Market Basket Analysis → Customer Lifetime Value
7. Customer Service → Customer Loyalty
Source: https://www.newgenapps.com/blog/7-uses-of-big-data-in-food-and-beverages-industry
https://www.wired.com/story/mcdonalds-big-data-dynamic-yield-acquisition
How to enhance the revenue of your restaurant with CDP
1. Optimizing media touchpoints (relevance) with customer personalization
2. Optimizing customer retention (loyalty) with predictive analytics
3. Optimizing customer experience (CX) with service design thinking
4. Optimizing customer lifetime value (CLV) with customer journey analytics
F(revenue) ( F(relevance) X F(loyalty) ) + F(CX) + F(CLV)
What is Customer Personalization ?
(1) Optimizing media touchpoints (relevance) with customer
personalization
What is media touchpoints ?
Media touchpoints:
From Baby Boomers
to Gen AI
(2) Optimizing customer retention (loyalty) with predictive analytics
Sentiment Analysis can help to predict “Customer Churn”
How can do Sentiment Analysis to reduce “Customer Churn” ?
(3) Optimizing customer experience (CX) with service design thinking
Customer Journey Analytics in Food Industry
(4) Optimizing customer lifetime value (CLV) with customer journey
analytics
But the truth in Vietnam is "Thèm" Journey Map
1. Seen photo on Facebook / Instagram
2. "Thèm" / "Want" feeling in the mind of customer
3. Get a notification message with 50% discount on mobile
4. Okai, let's book a food shipping order
Popular problems for Customer Analytics in Food Industry
Why is Customer Data Platform ?
(2) How would CDP work in practice ?
How could CDP work in practice ?
Customer Data Platform Vs Data Management Platform
First goal of CDP: Customer Single-view Information
Data Unification
Data Unification
1. Data acquisition, from anywhere the information is generated
2. Organization of that data into meaningful data segments
3. Analysis of data when and where it makes most sense. This can include reporting, tactical and ad hoc
querying, data visualization,
4. Delivery of insights and data at the optimal point of impact to support human activities with just-in-time
insights.
Data Analytics Workflow in CDP
Sample UI for Profile Segmentation in CDP
Augmented/predictive
analytics
Increase analytics productivity to focus on better Customer Experience insights.
Audience and customer
segmentation
Identify, reach and communicate with specific groups of like-minded customers.
Personalization engines Increase retention and conversion by offering highly individualized digital experiences
based on historical activity and preferences.
Customer journey
orchestration
Reach the right customers at the right time and on the right channel to offer the optimal
experience and maximize conversion
Use Cases of CDP
https://hbr.org/video/2235625008001/a-better-way-to-measure-your-ad-campaign
Some ideas of CDP is built on the framework
“Advertising Analytics 2.0” by Harvard Business Review
Customer Sales Activation in retail domain
Marketing scientists
Board of directors
Optimize Customer Journeys with AI
How CDP is used in practice
1. Profile Tagging for all web traffic
2. Using A/B testing to discover which products your customers will want in the future
3. To maximize sales, companies in the customer era focus on optimizing CLV
4. Practice predictive marketing organize around the customer
5. With the customer at the center, companies are using big data and predictive
analytics to configure processes and organizations to find ways to customize
interactions
6. Communications become much more targeted and the key metric is relevance, not
reach
Customer Tagging System for Streaming Data
Customer Tagging System for Streaming Data
The final purpose of CDP for businesses
1. Understand the market conditions by implementing data-driven marketing
2. Understand customers better by continuous customer listening and profiling
3. Control your online reputation by doing data analytics in your owned media
4. Cost savings by reducing time for reporting due to simple single-view dashboard
(3) How can we implement CDP
for business?
CDP products
Open Source CDP version
1. For education, learning and small business
2. Free Customer-first Marketing Platform For
New Generation Of MARKETER in the age of
Industry 4.0
3. Just like WordPress, why can an innovative
product not be built by Vietnamese ?
● https://unomi.apache.org
● https://github.com/bigdatavietnam-org
Enterprise CDP version
1. For highest security standard
2. For product support 24/7
3. For scalability and the quality of predictive
marketing analytics
● http://www.netscoretech.com
● https://www.resulticks.com
● https://www.agilone.com
● https://exponea.com
● https://www.blueconic.com
● https://tealium.com
Final question: Should we build CDP or buy
CDP: Should we build or buy
What is the business model of CDP in the World?
Follow us to get more information
● https://BigDataVietnam.org
● https://Facebook.com/BigDataVN
● Questions ? Email: tantrieuf31@gmail.com

Why is Customer Data Platform (CDP) ?

  • 1.
    Why is CustomerData Platform ? Transform your marketing and sales capabilities with Big Data and A.I Nguyễn Tấn Triều (Thomas) Founder of BigDataVietnam.org My personal email: tantrieuf31@gmail.com
  • 2.
    This presentation isstructured as “Start with why" CDP How does CDP work? CDP as customer-first marketing platform
  • 3.
    Our roadmap inthis slide Warm-up questions 1. Why is Customer Data Platform (CDP) ? Case study: Enhancing the revenue of your restaurant with CDP and mobile app marketing Question: Why can CDP disrupt business model for restaurant industry (B2C) ? 2. How would CDP work in practice ? Introducing USPA.tech as logical framework for implementing CDP in practice How Can a Customer Data Platform Enhance Your Account-Based Marketing Strategy (B2B) ? 3. How can we implement CDP for business? Introducing the CDP as customer-first marketing platform for all industries (my key idea in this slide)
  • 4.
    Warm-up questions aboutCustomer Data Platform (CDP) 1. When customer data is collected ? 2. Can we apply CDP for dating (hẹn hò / tìm người yêu) ? 3. What company already implemented CDP so successfully in e-commerce ?
  • 5.
    When customer datais collected ? → Since human invented the marketplace (chợ) Source: https://www.amazon.com/Predictive-Marketing-Marketer-Customer-Analytics/dp/1119037360 Industry 4.0
  • 6.
  • 7.
    Can we applyCDP for dating (hẹn hò / tìm người yêu) ? → Tinder, OkCupid https://practicalanalytics.co/2015/05/29/love-sex-and-predictive-analytics-tinder-match-com-and-okcupid/ https://www.cnbc.com/2019/08/07/tinder-results-add-more-than-5-billion-to-match-market-cap.html
  • 8.
    User Profile AnalyticsReport for Dating App ?
  • 9.
    Dating Journey Mapis just like Customer Journey Map
  • 10.
    What company alreadyimplemented CDP so successfully in e-commerce? → Amazon.com Source: https://www.quora.com/What-is-the-best-customer-data-platform https://www.bigdatavietnam.org/2019/09/how-to-build-personalized-news.html
  • 11.
    (1) Why isCustomer Data Platform (CDP) ?
  • 12.
    Fact: Data isthe raw material for any decision Business Model
  • 13.
    Why is CustomerData Platform (CDP) ? → Because data is the raw material for any decision
  • 14.
  • 15.
    Case Study: How tooptimize the revenue of your restaurant with CDP (or Big Data in Food Industry )
  • 16.
    'Big Data' showcaseon KFC account Video link: https://www.youtube.com/watch?v=jplbs6yt6Dw
  • 17.
    7 Uses ofBig Data in Food and Beverages Industry 1. On-time Delivery → Customer Satisfaction 2. Operational Efficiency → Customer Loyalty 3. Sentiment Analysis → Customer Satisfaction 4. Better Quality → Customer Satisfaction 5. Personalization → Customer Engagement 6. Market Basket Analysis → Customer Lifetime Value 7. Customer Service → Customer Loyalty Source: https://www.newgenapps.com/blog/7-uses-of-big-data-in-food-and-beverages-industry
  • 20.
  • 21.
    How to enhancethe revenue of your restaurant with CDP 1. Optimizing media touchpoints (relevance) with customer personalization 2. Optimizing customer retention (loyalty) with predictive analytics 3. Optimizing customer experience (CX) with service design thinking 4. Optimizing customer lifetime value (CLV) with customer journey analytics F(revenue) ( F(relevance) X F(loyalty) ) + F(CX) + F(CLV)
  • 22.
    What is CustomerPersonalization ?
  • 23.
    (1) Optimizing mediatouchpoints (relevance) with customer personalization
  • 24.
    What is mediatouchpoints ?
  • 25.
  • 26.
    (2) Optimizing customerretention (loyalty) with predictive analytics
  • 27.
    Sentiment Analysis canhelp to predict “Customer Churn”
  • 28.
    How can doSentiment Analysis to reduce “Customer Churn” ?
  • 29.
    (3) Optimizing customerexperience (CX) with service design thinking
  • 30.
  • 31.
    (4) Optimizing customerlifetime value (CLV) with customer journey analytics
  • 33.
    But the truthin Vietnam is "Thèm" Journey Map 1. Seen photo on Facebook / Instagram 2. "Thèm" / "Want" feeling in the mind of customer 3. Get a notification message with 50% discount on mobile 4. Okai, let's book a food shipping order
  • 34.
    Popular problems forCustomer Analytics in Food Industry
  • 35.
    Why is CustomerData Platform ?
  • 36.
    (2) How wouldCDP work in practice ?
  • 38.
    How could CDPwork in practice ?
  • 41.
    Customer Data PlatformVs Data Management Platform
  • 42.
    First goal ofCDP: Customer Single-view Information
  • 44.
  • 45.
  • 46.
    1. Data acquisition,from anywhere the information is generated 2. Organization of that data into meaningful data segments 3. Analysis of data when and where it makes most sense. This can include reporting, tactical and ad hoc querying, data visualization, 4. Delivery of insights and data at the optimal point of impact to support human activities with just-in-time insights. Data Analytics Workflow in CDP
  • 48.
    Sample UI forProfile Segmentation in CDP
  • 49.
    Augmented/predictive analytics Increase analytics productivityto focus on better Customer Experience insights. Audience and customer segmentation Identify, reach and communicate with specific groups of like-minded customers. Personalization engines Increase retention and conversion by offering highly individualized digital experiences based on historical activity and preferences. Customer journey orchestration Reach the right customers at the right time and on the right channel to offer the optimal experience and maximize conversion Use Cases of CDP
  • 50.
    https://hbr.org/video/2235625008001/a-better-way-to-measure-your-ad-campaign Some ideas ofCDP is built on the framework “Advertising Analytics 2.0” by Harvard Business Review
  • 54.
    Customer Sales Activationin retail domain
  • 55.
  • 65.
  • 66.
    How CDP isused in practice 1. Profile Tagging for all web traffic 2. Using A/B testing to discover which products your customers will want in the future 3. To maximize sales, companies in the customer era focus on optimizing CLV 4. Practice predictive marketing organize around the customer 5. With the customer at the center, companies are using big data and predictive analytics to configure processes and organizations to find ways to customize interactions 6. Communications become much more targeted and the key metric is relevance, not reach
  • 68.
    Customer Tagging Systemfor Streaming Data
  • 69.
    Customer Tagging Systemfor Streaming Data
  • 73.
    The final purposeof CDP for businesses 1. Understand the market conditions by implementing data-driven marketing 2. Understand customers better by continuous customer listening and profiling 3. Control your online reputation by doing data analytics in your owned media 4. Cost savings by reducing time for reporting due to simple single-view dashboard
  • 74.
    (3) How canwe implement CDP for business?
  • 75.
    CDP products Open SourceCDP version 1. For education, learning and small business 2. Free Customer-first Marketing Platform For New Generation Of MARKETER in the age of Industry 4.0 3. Just like WordPress, why can an innovative product not be built by Vietnamese ? ● https://unomi.apache.org ● https://github.com/bigdatavietnam-org Enterprise CDP version 1. For highest security standard 2. For product support 24/7 3. For scalability and the quality of predictive marketing analytics ● http://www.netscoretech.com ● https://www.resulticks.com ● https://www.agilone.com ● https://exponea.com ● https://www.blueconic.com ● https://tealium.com
  • 81.
    Final question: Shouldwe build CDP or buy
  • 82.
    CDP: Should webuild or buy
  • 83.
    What is thebusiness model of CDP in the World?
  • 86.
    Follow us toget more information ● https://BigDataVietnam.org ● https://Facebook.com/BigDataVN ● Questions ? Email: tantrieuf31@gmail.com