Step 5 - Analyse

CRM 7 Steps

Our clients

Annual Retainer since 2004
Annual Retainer since 2002
The Orange Box
Data Engine
Contact Management
Annual Retainer since 2004
The Orange Box
Data Engine
Contact Management
Supporter Relationship Management Console
Annual Retainer since 2009
The Orange Box
Data Engine
Supporter Relationship Management Console
Annual Retainer since 2007
Contact Management
Data Engine
Annual Retainer since 2005
The Orange Box
Data Engine
Annual Retainer since 2009
Data Engine
Supporter Relationship Management Console
Projects 2007
Annual Retainer since 2011
The Orange Box
Supporter Relationship Management Console
Communicator Corp voor Email Marketing
Annual Retainer since 2007
The Orange Box
Data Engine
Supporter Relationship Management Console
Annual Retainer since 2011
The Orange Box
Supporter Relationship Management Console
Contact Management
Annual Retainer since 2008
Data Engine
Annual Retainer since 2010
The Orange Box
Data Engine
Supporter Relationship Management Console
Annual contract since 2007
Contact Management
Membership and Loyalty Management
Annual Retainer since 2005
The Orange Box
Membership and Loyalty Management
Annual Retainer since 2005
The Orange Box
Data Engine
Projects 2008, 2009
Annual Retainer since 2009
The Orange Box
Data Engine
Membership and Loyalty Management
Annual Retainer since 2008
The Orange Box
Data Engine
Membership and Loyalty Management
Supporter Relationship Management Console
Annual Retainer since 2007
The Orange Box
Membership and Loyalty Management
Annual Retainer since 2006
The Orange Box
Data Engine
Annual Retainer since 2010
The Orange Box
Data Engine
Supporter Relationship Management Console

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Testimonial

Head of Marketing

"The Orange Box implementation, with its integration, data management and business...

Analyse supporter contactability, behaviour and purchase trends

The Data Processing Hub provides the platform for sound contact management. Its database also powers a suite of reports, which display aggregate counts of discrete contactable supporters. Raw data is converted to Business Intelligence which allows us and our clients to analyse the makeup of the supporter base and determine the dominant trends among supporters:

  • Supporter Analysis: Where supporters live, what contact channels are available, how old they are, quality of data captured
  • Product Analysis: Tickets sold, held, and merchandise and other products purchased
  • Supporter Value: Aggregate Life Time Value calculated across all transactional systems allows the club to identify its most engaged and transacting supporters
  • Transactional Roles: Updated every night and written in at contact level for key products sold, events attended or seats held (e.g. STH for Season Ticket Holder)

Drop-down filters offer some scope for drill-down functionality and customisation, although B.I. reports are, on the whole, designed to test large scale ("macro") hypotheses; slicing the supporter base several different ways, creating different tranches while observing the size and nature of the overlaps.