Purchase History
Data Mining for Improving Brand Awareness
Revenue Analysis
E-commerce
Data-Driven Product Development
Data Insights
Big Data in Marketing Strategies
Market Insights
Data Mining for Improving Brand Awareness 
Behavioral:
Purchase history and brand interactions
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Revenue Analysis 
Common segmentation criteria include: Demographics (age, gender, income) Geographics (location) Behavioral (
purchase history, brand loyalty) Psychographics (lifestyle, values) Techniques for Revenue Analysis Several techniques can be employed to conduct revenue analysis effectively:
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E-commerce (K) 
History of E-commerce Year Event 1960s The concept of e-commerce begins with Electronic Data Interchange (EDI)
...1994 The first secure online
purchase is made, marking the beginning of secure e-commerce
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Data-Driven Product Development 
Amazon Product Recommendations Utilizes customer
purchase history and browsing data
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Data Insights 
Transactional Data: Data generated from transactions, such as
purchase history and payment records
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Big Data in Marketing Strategies 
Big Data enables marketers to create personalized experiences for customers by analyzing their behavior, preferences, and
purchase history ...
Market Insights 
Monthly sales reports, customer
purchase history Competitor Analysis Evaluating competitors' strategies, strengths, and weaknesses
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Contextual Data 
Behavioral Data Information on how individuals interact with products or services, including
purchase history and website navigation patterns
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Customer Preferences 
Outcome Amazon Personalized recommendations based on
purchase history Increased sales and customer engagement Netflix Content recommendations based on viewing habits Improved
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Predictive Analytics and Customer Insights 
Analytics Data Collection: Gathering relevant data from various sources, including customer interactions, transaction
history, and social media
...Market Basket Analysis Analyzing
purchase patterns to understand product associations and improve cross-selling strategies
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