Trying to identify First Time Buyers (FTB)

I'm having a block.    I was trying to find First Time Buyers or those folks who have not attended in the last 5 years.   So I did a simple list looking at the Ticket History Perf Date (and I've done with unique perf =>1 and another without).   

I then take that list and create another list of this FY performances and ask for  those that does not have the list of prior ticket buyers.  

However, when I run it in T-stats, I'm still finding folks in the list that have prior ticket purchases in the 5 years I thought I was suppressing.

What am I missing?   Is it because history doesn't have the future performance dates yet?   Thanks

  • Leslie,

    This is always a thorny one - I'm wondering if your results are being skewed by historical (or other) data being imported into your local Ticket History table.  If it's historical, these rows very often have a perf_no value of 0 - the standard criterion in List Manager (Ticket History Unique Perfs) does a count based on the perf_no value and so if it IS historical date, people may have 5 or 6 rows all with the value of 0 - meaning that the criterion only views this as 1 perf!

    In a previous incarnation, I was always asked if we could get a list of all people whose first attendance was <Production A> so I wrote a view that List Manager criteria could be based on it so we could tell whose first attendance was:

    • to <Production A>
    • to <Venue B>
    • since 01/01/2017
    • using a Student price type
    • etc

    Happy to share if you're interested - email me at martin.keen@nida.edu.au

    Martin

  • Thanks – we have a rather unsophisticated Season Set up – consistency also  a problem.   I poke around again.  Again thanks for pointing me in a direction.
     
  • consistency also  a problem

    No kidding.

    Finding FTBs can almost be considered an impossible task, imho, E.g. the topic always reminds me of my mother, a Guthrie theater patron since 1963, who didn't have the equivalent of a constituent record here until 1997. If she had received some sort of FTB acknowledgement at the time she would have laughed.

    Not to mention dupes: how sure are you that this "new" patron doesn't already exist in your database in some form?

    Food for thought...

  • Exactly! The dupes are where we always get tripped up. We do have some semblance of a "first time buyers" report- my notes on it read: "For given season and performance date, returns a list of customers who are new ticket buyers to the organization as of that performance date. " But, of course, someone who created a new account on our website to buy tickets will be considered an FTB by this report, unless our auto-merge procedure catches them first.

  • Using the method I had described I ran the list thru T-Stats looking only for the folks that should have been suppressed.  What I found is all of them were in original list  -- not certain what these 341 had that caused them to suppress.   I created a second step when I save the offending records to a list and suppress them a second time which seems to work.
     
    With this I don’t know where to ask what could be happening.
     
  • Hi Leslie & Martin,

    I stumbled across this thread and was so hopeful that you'd solved our problem already...

    Thanks for the great info and tip on the Ticket History; however I tired and this didn't work as I'd hoped (may in fact be due to some wriggly/incorrect data fields...).

    We are aiming to capture First Time Buyers (FTB):

    • Percentage of audiences that are new to the company (per show)

    At this stage, I have tried to run an extraction suppressing all historical shows up until the show we are measuring but this has proved a jumble! Look forward to hearing any feedback or suggestions.

    Many thanks,

    Chantel

  • Hi Chantel,

    When I have been asked to look at first timers to a particular production, I have created a suppression for perf date (set this to < day before the beginning of the production you are looking at), then add a new segment for attendees to that production. You can then use this figure to work out the percentage of first timers.

  • Hi Sanjay,
    Thanks for this feedback! This has been very helpful for my trials.

    Many thanks, Chantel