What is Customer Data?
Customer data refers to all the behavioral, demographic and personal information about customers collected by MarTech companies and BusMar departments from their customer base to understand insights, communicate, engage with customers and maximize profit
Customer data is gathered for customer research, customer satisfaction research, customer habits and preferences analysis to increase perfect customer buying journey
Customer data is provided as interacting with your brand via your surveys, social media, marketing campaigns, website, mobile applications as well as other online and offline channels. Customer data is a platform to a business strategy decision-making
How to Collect Customer Data?
Customer Data is collected from multichannel that the customer engages with the brand. The best way to have Customer Data is to use a tool to mine information from them, then store, process, analysis and measure it for the personalization increase
Customer Engagement Data
Engagement data shows you the infomation that customer interacts with your brand though Website, Mobile App Interactions, Social Media Engagement, Email Engagement, Customer Service Information, Paid Ad Engagement, Marketing Campaigns, etc.
Customer Behavior Data
Behavioral Data shows you the customer’s behavior, routine, and preference at every touchpoint of customer journey through Purchase transaction stages, AOV, CLC, Cart shopping, Loyalty programs, Product usage, etc.
Customer Attitude Data
Attitudinal data shows you the customer feelings and emotions form thier experience on your brand, product and offerings through Customer purchase, preferences, sentiments, product wishes, satisfaction, and motivations
Customer Personal Data
Personal data shows you the Customer Identification Information that includes Full name, Date of birth, Physical address, Phone number, Email address, Login details, Credit/debit card through IP address, Cookies, Device IDs
Analyzing Customer Data
Quantitative Customer Data Analysis
Data mining used by statistics, artificial intelligence, and machine learning to analyze big data, identify basic profiles and actionable insights that consist of group classification, identified patterns mining, unexpected patterns, cluster, regression, prediction analysis
Qualitative Customer Data Analysis
Data mining collected through customer service software, interviews, feedback, surveys, etc. by content analysis, narrative analysis through customers feel about your brand and offerings.
