Track your business anytime, anywhere Know More
Updated January 04, 2026

Booking by Customer

Booking by Customer reports provide detailed analysis of customer booking patterns, helping you identify loyal customers, understand customer preferences, and improve customer relationship management.

What are Booking by Customer Reports?

Booking by Customer reports provide:

  • Complete booking history for each customer
  • Booking frequency and patterns
  • Customer preferences and behavior
  • Total spending per customer
  • Customer loyalty metrics
  • VIP customer identification

Why Booking by Customer Reports are Important

These reports help you:

  • Identify loyal and repeat customers
  • Understand customer booking patterns
  • Personalize customer service
  • Plan customer retention strategies
  • Identify VIP customers
  • Analyze customer preferences
  • Improve customer relationships
  • Maximize customer lifetime value

Accessing Booking by Customer Reports

To view Booking by Customer reports:

  1. Navigate to ReportsBooking Reports
  2. Select Booking by Customer or Customer Booking History
  3. Choose specific customer(s) or view all
  4. Set the date range for analysis
  5. Apply filters if needed
  6. Generate the report

Booking by Customer Report Information

The report typically displays for each customer:

  • Customer Name: Customer details and contact information
  • Total Bookings: Number of bookings made
  • Booking Frequency: How often customer books
  • First Booking Date: Date of first reservation
  • Last Booking Date: Date of most recent reservation
  • Total Revenue: Total spending from bookings
  • Average Revenue per Booking: Average spending per visit
  • Preferred Tables: Most frequently booked tables
  • Preferred Times: Most common booking times
  • Preferred Days: Most common booking days
  • Booking Status: Confirmed, cancelled, no-show breakdown

Filtering Booking by Customer Reports

You can filter reports by:

  • Customer: Specific customer or multiple customers
  • Date Range: Daily, weekly, monthly, or custom periods
  • Booking Status: Confirmed, cancelled, completed, no-show
  • Minimum Bookings: Filter by booking frequency
  • Revenue Range: Filter by total spending
  • Customer Category: Filter by customer categories

Customer Booking History

For each customer, view detailed booking history:

  • Booking Date: Date of each reservation
  • Booking Time: Time of reservation
  • Table: Table assigned or requested
  • Party Size: Number of guests
  • Status: Booking status
  • Revenue: Revenue from the booking
  • Special Requests: Any special requirements
  • Waiter: Assigned waiter

Customer Loyalty Metrics

Key metrics for customer analysis:

  • Booking Frequency: Number of bookings per period
  • Visit Recency: Time since last booking
  • Customer Lifetime Value: Total revenue from customer
  • Retention Rate: Likelihood of repeat bookings
  • Average Booking Value: Average spending per visit
  • Booking Consistency: Regularity of bookings

VIP Customer Identification

Identify VIP customers based on:

  • High booking frequency
  • High total spending
  • Consistent booking patterns
  • Long-term customer relationship
  • Low cancellation rate
  • Positive booking history

Customer Preferences Analysis

Understand customer preferences:

  • Preferred Tables: Tables most frequently booked
  • Preferred Times: Most common booking times
  • Preferred Days: Most common booking days
  • Party Size Patterns: Typical group size
  • Special Requests: Common special requirements
  • Seasonal Patterns: Booking patterns by season

Customer Segmentation

Segment customers by:

  • High-Value Customers: Top spenders
  • Frequent Customers: Regular visitors
  • Occasional Customers: Infrequent visitors
  • New Customers: Recent first-time bookings
  • At-Risk Customers: Declining booking frequency

Using Booking by Customer for Decision Making

Customer Retention

Use reports to:

  • Identify customers at risk of churning
  • Plan retention campaigns
  • Reward loyal customers
  • Re-engage inactive customers

Personalized Service

Use reports to:

  • Remember customer preferences
  • Provide personalized recommendations
  • Offer preferred tables
  • Enhance customer experience

Marketing and Promotions

Use reports to:

  • Target specific customer segments
  • Plan promotional campaigns
  • Offer relevant incentives
  • Maximize marketing ROI

Customer Communication

Use customer data for:

  • Personalized booking confirmations
  • Special occasion recognition
  • Loyalty program management
  • Targeted marketing communications

Exporting Booking by Customer Reports

You can export reports:

  • Export to Excel for detailed analysis
  • Export to PDF for customer records
  • Generate customer-specific statements
  • Share with marketing team

Best Practices

  • Review customer booking reports regularly
  • Identify and reward VIP customers
  • Track customer booking trends
  • Monitor customer retention metrics
  • Use insights for personalized service
  • Plan customer retention strategies
  • Segment customers for targeted marketing
  • Document customer preferences

Privacy and Data Protection

When handling customer data:

  • Ensure compliance with data protection regulations
  • Protect customer privacy
  • Use data responsibly
  • Obtain necessary consents

Booking by Customer vs. Other Reports

Customer reports complement other reports:

  • Booking by Customer: Customer-centric view
  • Booking Summary: Overall booking overview
  • Booking by Date/Time: Time-based analysis
  • Use customer reports for relationship management
  • Use other reports for operational analysis

Need Help?

If you have issues with Booking by Customer reports:

  • Ensure customer information is properly recorded
  • Verify bookings are linked to customers
  • Check that date ranges are correctly selected
  • Ensure proper access permissions
  • Contact support if data seems incorrect

Related Articles

Learn more about:

Booking by Customer reports are essential for understanding customer behavior and improving customer relationships. Regular review helps identify loyal customers and opportunities for retention and growth.

Tags:
Analytics Reports