Reporting and Business Intelligence

Understand your Membership Base

Current Members

• Accurate membership figures
• Breakdown by Subscription Type
• Ability to include/exclude specific Subscription Types

Leavers

• Accurate leaver counts over given periods
• Breakdown by Subscription Type
• Forecast of leavers over future periods

 Joiners

• Accurate joiner numbers
• Breakdown by Subscription Type
• Analyse success of promotions and source via User Fields

Frequent Visitors

• Based on combination of sales activity and swipe attendances
• Analyse and reward most frequent visitors
• Identify casual users for upgrades

Non Visitors

• Based on combination of sales activity and swipe attendances
• Target non visitors for return
• Identify Sleepers

Member Demographics

• Member breakdown by Age/Gender/User fields
• Postcode or other address field profiling

Member Data Quality

• Completeness of member records
• Analysis of key contact information; Phone,Email, Mobile

Referral Program Analysis

• Members upgrading from referral subscriptions
• Percentage of conversions 

Understand & Analyse your Income

Product Income Analysis

• Accurate Financial Analysis
• Breakdown by Cost Centre,
  Department & Product
• Profile by Day, Week, Month & Year

Payment Method Analysis

• Accurate Financial Analysis
• Profile by payment method

Membership Yield

• Membership income analysis
• Profile by subscription product
• Analyse monthly trending

Debtors Report

• Accurate debtor analysis
• Analyse age of debt
• Include member details for chasing debt

Sales Commission Report

• Calculate commission for sales team
• Breakdown by staff member
• Ability to weight based on subscription type

Sales League Table

• Ranking based on new subscription sales
• Profile based on individual & site

Direct Debit Collection/Rejection
Analysis

• Analysis of Direct Debit
• Analysis based on sales & member status

Analyse your Bookings & Site Usage

Usage Report

• Accurate participation figures
• Breakdown by activity
• Profiling by subscription type

Classes & Course Utilisation

• Analyse class popularity
• Identify high and low class utilisation

Bookings Analysis

• Analyse individual bookings with members
• Previous and future bookings analysis

Space Utilisation

• Utilisation of resource products
• Profiling by site & area
• Breakdown by hour of day and day of week

Attendance Profile

• Accurate swipe attendance data
• Profiling by entry point
• Breakdown by hour of day and day of week

Member & Non-Member Attendances

• Attendance profiling
• Breakdown by member and non-member

Booking Method Profiling

• Identify popularity of booking system
• Profile of method based on user ID