Customer Analytics

Loopin Hawaii includes powerful customer relationship management tools to help you understand and engage with your customers effectively.

Customer Profiles

Understanding Your Customers:

1. Customer Information
   • View complete customer profiles including contact information
   • Track customer registration dates and activity
   • Monitor customer status and engagement levels
2. Transaction History
   • See all customer transactions and interactions
   • Track stamp collections, point accumulations, and redemptions
   • Identify your most valuable customers
3. Customer Analytics
   • Analyze customer behavior patterns
   • Identify trends in customer engagement
   • Track customer lifetime value

Managing Customer Profiles:

• Profile Updates
  • Edit customer information as needed
  • Update contact details and preferences
  • Add notes about customer interactions
• Customer Communication
  • Send targeted messages to specific customers
  • Create customer segments for marketing campaigns
  • Track communication history

Import/Export Functions

Data Management:

1. Importing Customer Data
   • Upload existing customer lists from spreadsheets
   • Import data from other loyalty programs
   • Bulk import customer information
2. Exporting Customer Data
   • Download customer lists for external analysis
   • Export transaction data for accounting purposes
   • Create backup copies of customer information
3. Data Formatting
   • Ensure data is in the correct format for import
   • Use provided templates for best results
   • Validate data before importing

Customer Filters

Organizing Your Customer Base:

1. Filter Options
   • Sort customers by registration date
   • Filter by customer activity level
   • Group customers by location or preferences
2. Advanced Filtering
   • Create complex filter combinations
   • Save frequently used filters
   • Export filtered customer lists

RFM Analysis

Understanding Customer Value:

RFM Analysis helps you understand your customers based on:

• Recency: How recently they made a purchase
• Frequency: How often they make purchases
• Monetary: How much money they spend

Using RFM Analysis:

1. Customer Segmentation
   • Identify your best customers
   • Find customers at risk of churning
   • Discover opportunities for growth
2. Targeted Marketing
   • Create specific campaigns for different customer segments
   • Personalize offers based on customer behavior
   • Improve customer retention strategies