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Ticketsolve User Group Day 10:30  Introduction  - Paul Hanly 10:45  Marketing  - Heather Maitland and  Paul Fadden 12:15  Mailchimp and Google Analytics  - Paul Hanly 1:00  Lunch 2:00  Customer   Testimonial  - Jamie Jenkin - Royal Court Liverpool 2:15  Review and Development Path  -  Sean Hanly 3:30   Wrap Up and Q & A
Making the most of Heather Maitland & Paul Fadden
 
How can we increase income?
Sell more tickets
[object Object],[object Object],[object Object],[object Object]
The solution
Give away fewer complimentary tickets
Unnecessary comps? ,[object Object],[object Object]
The solution
Set up a membership scheme
Friends can become Friends Fiends
When is membership a good idea? ,[object Object],[object Object],[object Object],[object Object],[object Object]
The solution
How can we get new members?
When is membership a good idea? ,[object Object],[object Object],[object Object],[object Object],[object Object]
The solution
Keep more members
Did it work? ,[object Object]
Keep more members ,[object Object],[object Object],[object Object],[object Object],[object Object]
AB Testing with MailChimp
What   is the most cost effective way for us to grow our audience?
Segmenting audiences ,[object Object],[object Object]
Length of relationship High High Low Low Number of events
Derby Live
 
Angels
 
 
The solution
How can we increase income ?
Increased income can mean increased losses
Contribution to overheads ,[object Object],[object Object],[object Object],[object Object],£300 £3,000
The solution
How can we convince people we’re not an expensive luxury?
We’re an important part of life ,[object Object],[object Object]
Pavilion Theatre ,[object Object],[object Object]
Pavilion Theatre   Unique Customers Private Households % of households buying tickets Dun Laoghaire 1,694 9,189 18% Dun Laoghaire-Rathdown 5,525 68,412 8%
The solution
Can we put up our prices ?
Price sensitive customers ,[object Object],[object Object],[object Object]
The solution
Do we collect enough audience data to get accurate answers?
How accurate is the information? ,[object Object],[object Object],[object Object]
Data capture: trends 2009:  94% 2008:  92% 2007:  89% 2006:  89%
How much data are we collecting? Is it any good?
Where’s the problem?
The solution
Summary

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Ticketsolve User Group Day: Heather Maitland Presentation

Notas do Editor

  1. Data is Buried Treasure!
  2. 9 mixed programme venues All but one of these venues do film and it includes their data capture for film.
  3. 9 mixed programme venues All but one of these venues do film and it includes their data capture for film.
  4. Any guesses? Write on the card nice and big what you think the average data capture rate across the 19 organisations