SlideShare a Scribd company logo
1 of 94
Social Media Analytics
Challenge and Case Studies
Big Data Engineering, DPU
Global Usage of
Social Media Analytics
Big Data Engineering, DPU
PNERN ASAVAVIPAS (Nern)
CEO & Co-Founder
@ OBVOC
Education
- B.A. Economics, Thammasat University
Experiences
- 6 years in Social Listening & Analytics
What is Social Media Analytics?
Social
Listening
Social
Analytics
Social
Intelligence
Capturing
words
Analyzing Data &
Discovering Insights
Actioning Insights
Nespresso
Using Social Insights to Build a Global Marketing Strategy
Consumer Insights from Coffee Drinking Discussion on Social
Source: Crimson Hexagon
Customer Insights through Audience Competitive Analysis
Source: Crimson Hexagon
Nespresso
Implementation & Tracking
How data contribute Marketing Strategy
Source: Crimson Hexagon
Commercial
Advertising
Events and
“Pop Up” Store
Sponsorship
Commercial Advertising
Source: Crimson Hexagon
Penelope Cruz - Actress
Lana Del Rey - Singer
Penelope Cruz - Nespresso TV Commercial, Song by Lana Del Rey
Developing Marketing Strategy Based on Insights
Developing Marketing Strategy Based on Insights
Developing Marketing Strategy Based on Insights
Nespresso
Monitoring & Learning From Marketing Efforts
Measuring the Effect of Marketing Efforts
Brand Perception: Advocacy Intent to Purchase
Brand
Perception:
Positive
Reputation
Brand
Perception:
Negative
Reputation
Marketing Efforts
Source: Crimson Hexagon
Measuring Consumer Exposure to the Brand
Opening of Nespresso boutique
store in San Francisco
Airing of commercial featuring
Penelope Cruz and Lana Del Rey
Beginning of “Pop Up” events at
America’s Cup, SXSW, and cities
throughout the US
Source: Crimson Hexagon
Measuring Consumer Exposure to the Brand
Source: Crimson Hexagon
Measuring Consumer Exposure to the Brand
Source: Crimson Hexagon
Identifying Key Areas of Success
Source: Crimson Hexagon
Driving Consumer Purchase Intent
The “pop-up” events increasing from 3% to 21% over the same time period.
Source: Crimson Hexagon
Key Takeaway
Source: Crimson Hexagon
With actionable insights, Nespresso could learn from a targeted campaign, monitor efforts to learn what
marketing events worked and engaged their target audience, and build a global strategy for the future.
As with Nespresso, social insights enable any brand or agency to:
1. Know where to reach new and relevant customer segments and what messaging will most
effectively engage them.
2. Track specific campaign efforts and customer interaction with them, to know what worked.
3. Categorize and measure customer interaction to learn about brand perception, method of
exposure, and future opportunities for engagement.
4. Identify key areas of success and quantify return on investment through changes in intent to
purchase and competitor benchmarking.
Process & Implementation
Big Data Engineering, DPU
PUTTASAK TANTISUTTIVET (TOR)
Senior Data Research Analyst
@ THOTH ZOCIAL
Education
- B.Sc. Electronics Engineering, KMITL
- M.Sc. Business Administration (Marketing) , NIDA
Experience
- Social media strategy
- Digital Project Planner
- Content Strategy
- Data Research and Analyst
- Speaker @Young Data Scientist, J.Walter Thomson,
Nitade Chula
Data Team
Data Team = Chef
Chef
Raw Material Cooking Decorate and Serve
Data Team
Data Collecting
(Raw Material)
Data Processing
(Cooking)
Delivering Insight
(Decorate and Serve)
- NLP
- Text Mining
- Categorize
- Cleansing Data
- Association Rule
- Correlation
- Classification
- Clustering
- Timeline Analysis
- Data Warehouse
- Database
- Sourcing
- Social Media
- Data Hacking
- Tools
- Presentation
- Paper
- Research
Social Media Data Process
Delivering InsightData Collecting Data Processing
Social Media Data Process
Delivering InsightData Collecting Data Processing
2.5 Billion Talks
On 2016
~ 5 Million Talks every day
~ 5,000 Talks every minute
~ 80 Talks every second
Data Collecting.
- Millions Millions message per month (and Very fluctuate)
- Depend on platform, Always Change!
- Junk Source and Data
- Data Limitations
- Both Structure and Unstructure Data
- Varieties type of Data (Text, Video, Image, Numbers)
- Coverage VS Accuracy
Social Media Data Process
Data Collecting Data Processing Delivering Insight
Data Processing.
- Natural language
processing
- Text Mining
- Cleansing Data
- Categorize
- Association Rule
- Correlation
- Classification
- Clustering
- Data Modeling
NLP Procedure
Data
(input)
Word
segmentation
Feature
extraction
Weight
optimization
Results
(output)
Classification
● Word
● Sentence
● Paragraph
● Document
● Tokenization
● Part-of-speech tagging
● Binary
● Numeric
● Bag-of-words (BOWs)
● TF-IDF
● Sub-words (prefixes,
suffixes)
● etc.
● Supervised learning
○ Machine learning
● Unsupervised learning
○ Clustering
● Target output
○ Sentiment score
○ Opinion
○ Keywords
○ etc.
Social Media Data Process
Delivering InsightData Collecting Data Processing
Data interpretation.
หลังจากออกรบกลับมา ฝูงเครื่องบินของคุณถูกยิง
พรุนและมีกองบินรอดกลับมาไดครึ่งหนึ่ง กอน
ออกรบครั้งตอไปคุณจะเสริมเกราะใหกับสวนใด
ของเครื่องบิน?
ก ) สวนที่ถูกยิงเยอะ
ข) สวนที่ไมถูกยิง
“
Turn Data into
Value Information
“
- Text
- Image
- Video
- Time
- Location
- Engagement
- Etc.
- Segmentation
- Interested
- Behaviors
- Trend
- Attitude / Perceptions
- Unknown Insight
Data interpretation.
Data interpretation.
Data interpretation.
Challenge: Social Media Data
Big Data Engineering, DPU
Social Media Data
is
“Junk VS Accuracy”
Crawled Data
iPhone 7S
iPhone7S
iPhone7 S
iPhone 7S
ไอโฟน7s
ไอโฟน 7s
ไอโฟน 7s
ไอโฟน7 s
ไอโพน7s
ไอโพน 7s
.
.
.
“Huawei P9 Plus”
5*2*3*2*2 = 120 Keywords
Subject
(“Huawei” | “หัวเหวย” | “หัวเวย” | “ฮัวเหวย”)
&
(“P9plus” | “P9 plus” | “P9+” | “พี9”)
Social Media Data
is
World of “ASSUMPTION”
Mobile Voice | Assumptions
- Voice สงผลกระทบตอความอยากซื้อของ Users ไหม?
- ชองทางแตละชองทาง มีผลกระทบเทากันไหม?
- เอาเฉพาะ Users โพสท หรือเอาที่ Page โพสทดวย?
- คนถายรูปขึ้น IG แลวใส #Huaweip9 จะนับไหม?
- การที่คนพูดวาที่โลตัสทีขาย = แนะนําใหไปซื้อไหมหรือแคบอก?
- 1 ขอความมีการพูดถึง 2 รุน จะนับแยกกันหรือนับรวม
- 1 ขอความที่พูดถึง Feature ตางๆ จะนับแยกหรือนับรวม
- 1 ขอความที่ไดรับ Engagement จะแปลความหมายของ Engagement ยังไงดี?
Social Media Data
is
“Thai Culture and Lang is not easy”
Beautiful of Thai Lang
Beautiful of Thai Lang
Social Media Data
is
“Limitations”
Social Media Data
is
“Not fit for all”
Brief
- อยากวัดเรตติ้งของทีวีบน Social Media
Social TV Rating
- Data ชุดไหนบน Social Media ที่เปนตัวแทนของ Rating?
- คา Video View?
- คา Voice ที่พูดถึงรายการนั้น?
- คา Engagement บน Video?
- จัดความสําคัญระหวางขอมูลของ Live Video กับ VOD ยังไง?
- จะใชคา FB Video หรือ Youtube Video หรือรวมกัน?
- Facebook Live คือ Time Base หรือ VOD?
- จะเอา Voice เปน Rating หรือเปน Amplifier?
- แลว Sentiment หละ??
- คาบางคาไมสามารถเก็บได
Social TV Rating
3 Sec = 1 Views 30 Sec = 1 Views
Challenge:
Business Stakeholder
Big Data Engineering, DPU
Expectation Reality
It’s CONFIDENTIAL!
Jargon!
How to prevent?
Upper-level
User
MorePower&
Unapproachable
Middle-level
Start with small and Build Trust
Business Expertise
1. Engage with higher position as much as you can.
2. Start with small and build their trust.
3. Be careful your jargon words.
4. Keep learning on your fields.
5. Talk less and show more.
Key Takeaway
Enjoy Analyzing!
Case Studies
Big Data Engineering, DPU
Ways to apply Social Media Data
นมผง
อึ
ราคา
แบรนด
Use Correlation Technique
MOM’s Insight
Ways to apply Social Media Data
Answer : 33% ซื้อ, 31% รอ, 21% เดิน, 21% กิน
Store Visit #1 : { “ ไป + x ”... store } (Use Association Technique)
Question : ลูกคาไปทําอะไรที่ราน?
Solution : Listen & Extract only talks about store or check-ins at store.
Identify “ไป” and adjacent keyword.
Ways to apply Social Media Data
Store Visit #2 : { “ ไป + ซื้อ + x ”... store }
Question : ลูกคาไป “ซื้อ”อะไรที่ราน?
Solution : Listen & Extract only talks about store or check-ins at
store. Identify “ไป+ซื้อ” and adjacent keyword.
Answer : 12% โคก, 10% ไข, 77%
Ways to apply Social Media Data
Store Visit #2 : { “ ไป + ซื้อ + x ”... store }
Question : ลูกคาไป “ซื้อ”อะไรที่ราน?
Solution : Listen & Extract only talks about store or check-ins at
store. Identify “ไป+ซื้อ” and adjacent keyword.
Answer : 12% โคก, 10% ไข, 77% แม
Ways to apply Social Media Data
แฟน
ความ
ปลอดภัย
Condo Insight
Ways to apply Social Media Data
แฟน
ความ
ปลอดภัยเมียCondo Insight
Ways to apply Social Media Data
“หนากาก XXX”
Followed by
“Superstar name”
Ways to apply Social Media Data
Ways to apply Social Media Data
1
2
Kumamoto > Fukuoka > Nagasaki
Fukuoka > Kumamoto > Mountain Aso
1
2
Mountain Aso > Kumamoto > Fukuoka
Fukuoka
Kumamoto City
(Castle, Suizenji, etc.)
Travel Behavior
Ways to apply Social Media Data
Event Analysis
Ways to apply Social Media Data
Event Analysis
Ways to apply Social Media Data
Precisions Ads
Ways to apply Social Media Data
Traditional Ads Targetings Ads Personalized Ads
Improve way to advertising
Ways to apply Social Media Data
CHATBOT
Application and interface (Input)
Natural language processing (NLP)
Intelligent search
BOT knowledge
Keyowords/Pattern matching and sorting
Ontology PlatformDictionary
Conversational AI
Ways to apply Social Media Data
Sarcasm Prediction
ฝากไวใหคิสส….
- สิ่งที่อยากที่สุดของการทํางานขอมูลคือการไมมีขอมูล
- การทํางานกับ Data ตองใชเวลา, จงเริ่ม!
- หากรักจะทํางานดานนี้จริง อยารังเกียจการเปน “ภารโรงขอมูล”
- ไมใชทุกคนที่สามารถพัฒนาตัวเองจนเกงไดทุกดาน
- ไมใชทุกคนที่จะเขาใจและชอบ Data
- Data ไมใชเวทยมนต
แตเปน ‘คน’ ตางหากที่ใช Data เพื่อสรางเวทยมนต
THANK!
Social Media Analytics Challenges and Case Studies

More Related Content

What's hot

housepriceprediction-ml.pptx
housepriceprediction-ml.pptxhousepriceprediction-ml.pptx
housepriceprediction-ml.pptx
tommychauhan
 
How Big Data can be used in the retail industry?
How Big Data can be used in the retail industry?How Big Data can be used in the retail industry?
How Big Data can be used in the retail industry?
Extentia Information Technology
 
MIS: Business Intelligence
MIS: Business IntelligenceMIS: Business Intelligence
MIS: Business Intelligence
Jonathan Coleman
 

What's hot (20)

housepriceprediction-ml.pptx
housepriceprediction-ml.pptxhousepriceprediction-ml.pptx
housepriceprediction-ml.pptx
 
Big data analytics
Big data analyticsBig data analytics
Big data analytics
 
Data mining
Data miningData mining
Data mining
 
Machine Learning in Healthcare: A Case Study
Machine Learning in Healthcare: A Case StudyMachine Learning in Healthcare: A Case Study
Machine Learning in Healthcare: A Case Study
 
How Big Data can be used in the retail industry?
How Big Data can be used in the retail industry?How Big Data can be used in the retail industry?
How Big Data can be used in the retail industry?
 
Big Data Analytics Powerpoint Presentation Slide
Big Data Analytics Powerpoint Presentation SlideBig Data Analytics Powerpoint Presentation Slide
Big Data Analytics Powerpoint Presentation Slide
 
Data warehouse
Data warehouseData warehouse
Data warehouse
 
Business intelligence
Business intelligenceBusiness intelligence
Business intelligence
 
Ppt on data science
Ppt on data science Ppt on data science
Ppt on data science
 
Building a performing Machine Learning model from A to Z
Building a performing Machine Learning model from A to ZBuilding a performing Machine Learning model from A to Z
Building a performing Machine Learning model from A to Z
 
Presentation on supervised learning
Presentation on supervised learningPresentation on supervised learning
Presentation on supervised learning
 
Big data Analytics
Big data AnalyticsBig data Analytics
Big data Analytics
 
Big data & Digital Marketing
Big data & Digital MarketingBig data & Digital Marketing
Big data & Digital Marketing
 
A Short History of Big Data
A Short History of Big DataA Short History of Big Data
A Short History of Big Data
 
Classification and prediction in data mining
Classification and prediction in data miningClassification and prediction in data mining
Classification and prediction in data mining
 
Data Mining: Concepts and Techniques (3rd ed.) — Chapter _04 olap
Data Mining:  Concepts and Techniques (3rd ed.)— Chapter _04 olapData Mining:  Concepts and Techniques (3rd ed.)— Chapter _04 olap
Data Mining: Concepts and Techniques (3rd ed.) — Chapter _04 olap
 
MIS: Business Intelligence
MIS: Business IntelligenceMIS: Business Intelligence
MIS: Business Intelligence
 
Business intelligence and big data
Business intelligence and big dataBusiness intelligence and big data
Business intelligence and big data
 
Introduction of data science
Introduction of data scienceIntroduction of data science
Introduction of data science
 
Big data and analytics
Big data and analyticsBig data and analytics
Big data and analytics
 

Similar to Social Media Analytics Challenges and Case Studies

ศูนย์ภาคีวิจัยล้านนา
ศูนย์ภาคีวิจัยล้านนาศูนย์ภาคีวิจัยล้านนา
ศูนย์ภาคีวิจัยล้านนา
rattapol
 

Similar to Social Media Analytics Challenges and Case Studies (20)

Practical Data Mining with RapidMiner Studio 7 : A Basic and Intermediate
Practical Data Mining with RapidMiner Studio 7 : A Basic and IntermediatePractical Data Mining with RapidMiner Studio 7 : A Basic and Intermediate
Practical Data Mining with RapidMiner Studio 7 : A Basic and Intermediate
 
Internet Marketing Tools Strategies Focused
Internet Marketing Tools Strategies Focused  Internet Marketing Tools Strategies Focused
Internet Marketing Tools Strategies Focused
 
Business Model Canvass for NANO MBA 6 26 Jul 2015
Business Model Canvass for NANO MBA 6 26 Jul 2015Business Model Canvass for NANO MBA 6 26 Jul 2015
Business Model Canvass for NANO MBA 6 26 Jul 2015
 
Technique to Delivery Information via the Internet
Technique to Delivery Information via the InternetTechnique to Delivery Information via the Internet
Technique to Delivery Information via the Internet
 
Practical Data Science 
Use-cases in Retail & eCommerce
Practical Data Science 
Use-cases in Retail & eCommercePractical Data Science 
Use-cases in Retail & eCommerce
Practical Data Science 
Use-cases in Retail & eCommerce
 
Are you Gut Feeling VS Social Listening
Are you Gut Feeling VS Social ListeningAre you Gut Feeling VS Social Listening
Are you Gut Feeling VS Social Listening
 
Thailand Digital Marketing and Trend 2014 by Pawoot
Thailand Digital Marketing and Trend 2014� by Pawoot Thailand Digital Marketing and Trend 2014� by Pawoot
Thailand Digital Marketing and Trend 2014 by Pawoot
 
R&D in Technology for Botanical Garden
R&D in Technology for Botanical GardenR&D in Technology for Botanical Garden
R&D in Technology for Botanical Garden
 
Clouds, big data, and smart assets
Clouds, big data, and smart assetsClouds, big data, and smart assets
Clouds, big data, and smart assets
 
Online marketing - การตลา่ดผ่านออนไลน์แบบสมบูรณ์
Online marketing - การตลา่ดผ่านออนไลน์แบบสมบูรณ์ Online marketing - การตลา่ดผ่านออนไลน์แบบสมบูรณ์
Online marketing - การตลา่ดผ่านออนไลน์แบบสมบูรณ์
 
Class 01 Digital Strategy Class 1 : Strategy Formulation
Class 01 Digital Strategy Class 1 : Strategy FormulationClass 01 Digital Strategy Class 1 : Strategy Formulation
Class 01 Digital Strategy Class 1 : Strategy Formulation
 
marketing for non marketeer
marketing for non marketeermarketing for non marketeer
marketing for non marketeer
 
Data Science สำหรับผู้เริ่มต้น - WordCamp Bangkok 2017
Data Science สำหรับผู้เริ่มต้น - WordCamp Bangkok 2017Data Science สำหรับผู้เริ่มต้น - WordCamp Bangkok 2017
Data Science สำหรับผู้เริ่มต้น - WordCamp Bangkok 2017
 
Nrct
NrctNrct
Nrct
 
ศูนย์ภาคีวิจัยล้านนา
ศูนย์ภาคีวิจัยล้านนาศูนย์ภาคีวิจัยล้านนา
ศูนย์ภาคีวิจัยล้านนา
 
SPORT STARTUP CAMP / KASETSART
SPORT STARTUP CAMP  / KASETSARTSPORT STARTUP CAMP  / KASETSART
SPORT STARTUP CAMP / KASETSART
 
Innovation and R&D 23 Aug 2022.pdf
Innovation and R&D 23 Aug 2022.pdfInnovation and R&D 23 Aug 2022.pdf
Innovation and R&D 23 Aug 2022.pdf
 
20160824 Customer 3.0
20160824 Customer 3.020160824 Customer 3.0
20160824 Customer 3.0
 
Understand Your Information Workshop (Thai) - UX Thailand 2017
Understand Your Information Workshop (Thai) - UX Thailand 2017Understand Your Information Workshop (Thai) - UX Thailand 2017
Understand Your Information Workshop (Thai) - UX Thailand 2017
 
Digital Jungle (ฉบับภาษาไทย)
Digital Jungle (ฉบับภาษาไทย)Digital Jungle (ฉบับภาษาไทย)
Digital Jungle (ฉบับภาษาไทย)
 

Social Media Analytics Challenges and Case Studies