First Time Buyers and Subsequent Buying

Heath Wilder — Fri, 10 Nov 2023 05:09:50 GMT

Current Revision posted to Wiki by Heath Wilder on 11/10/2023 5:09:50 AM

From (+) First Time Buyers from Previous Year Returning in 2023 - Discussions - analytic Coffee! - Tessitura Network

Michael Dorsey (Spoleto Festival USA)
I'm wondering if anyone has anything that gives the accurate number first time buyers from a specified year that returned this year?

Christine Wingenfeld (Pittsburgh Cultural Trust Consortium)

Hi Michael,

I have a couple of formulas that might help you with this concept. I created them to look overall at the return rate of first-time buyers and what they were coming to next. I wonder if you could adjust things in these formulas to look more at specific years.

The summary widget is filtered to select different production seasons and then I have the following formula to calculate how many have since returned.

COUNT ( [Constituent ID], IF ( MIN( DDIFF( [Days in Date] , [Days in First Performance Date] ) ) = 0
AND ( [# of unique Production Season ID], ALL( [Production Season] ) ) > 1
, [Max Constituent ID] , NULL )
)

The first part of the formula recognizes if they are a first-time buyer^{[HW: see below #1]}, and then the second part adds in whether they have come to anything else.

Taking this formula, I then add onto it to create a proportion of how many are returning:

(COUNT ( [Constituent ID], IF ( MIN ( DDIFF( [Days in Date] , [Days in First Performance Date] ) ) = 0 AND ( [ # of unique Production Season ID] , ALL( [Production Season] ) ) > 1
, [Max Constituent ID]
, NULL ) )
) / (COUNT ( [Constituent ID],
IF ( MIN ( DDIFF( [Days in Date] , [Days in First Performance Date]) ) =0
, [Max Constituent ID]
, NULL )
)
)

So, the denominator here just gets a total count of first-time buyers, as in the first part.

I have another widget that then that looks at what they are coming to next designed as a bar chart. This widget is filtered by the first performance name. The formula I use here probably could have also been used in a variation in the above calculations.

COUNT ( [Constituent ID] , IF ( MIN ( DDIFF ( [Days in Date] , [Days in First Performance Date] ) ) > 0 , [Max Constituent ID] , NULL ) )

For this formula, I started with the formula for first time buyers, but then looked at anything that they have come to since that first performance date [hence > 0]. I have categories for season and production season, but if you just want to look more broadly at who came back in a certain season, you could probably just use season.

You won't be able to use a jump-to with these formulas, but you could always add a constituent ID to a pivot table to download and import as a manual list to verify.

communitytest.tessitura.com/.../FirstTimeBuyerWidgetIdeas.dash

Tags: wiki, first time buyers, analytic Coffee!, new to file

First Time Buyers and Subsequent Buying

Heath Wilder — Wed, 08 Nov 2023 08:44:14 GMT

Revision 3 posted to Wiki by Heath Wilder on 11/8/2023 8:44:14 AM

From (+) First Time Buyers from Previous Year Returning in 2023 - Discussions - analytic Coffee! - Tessitura Network

Michael Dorsey (Spoleto Festival USA)
I'm wondering if anyone has anything that gives the accurate number first time buyers from a specified year that returned this year?

Christine Wingenfeld (Pittsburgh Cultural Trust Consortium)

Hi Michael,

I have a couple of formulas that might help you with this concept. I created them to look overall at the return rate of first time buyers and what they were coming to next. I wonder if you could adjust things in these formulas to look more at specific years.

The summary widget is filtered to select different production seasons and then I have the following formula to calculate how many have since returned.

The first part of the formula recognizes if they are a first-time buyer^{[HW: see below #1]}, and then the second part adds in whether they have come to anything else.

Taking this formula, I then add onto it to create a proportion of how many are returning:

So, the denominator here just gets a total count of first-time buyers, as in the first part.

COUNT ( [Constituent ID] , IF ( MIN ( DDIFF ( [Days in Date] , [Days in First Performance Date] ) ) > 0 , [Max Constituent ID] , NULL ) )

You won't be able to use a jump-to with these formulas, but you could always add a constituent ID to a pivot table to download and import as a manual list to verify.

communitytest.tessitura.com/.../FirstTimeBuyerWidgetIdeas.dash

Tags: wiki, first time buyers, analytic Coffee!, new to file

First Time Buyers and Subsequent Buying

Heath Wilder — Wed, 08 Nov 2023 07:27:02 GMT

Revision 2 posted to Wiki by Heath Wilder on 11/8/2023 7:27:02 AM

From (+) First Time Buyers from Previous Year Returning in 2023 - Discussions - analytic Coffee! - Tessitura Network

Michael Dorsey (Spoleto Festival USA)
I'm wondering if anyone has anything that gives the accurate number first time buyers from a specified year that returned this year?

Christine Wingenfeld (Pittsburgh Cultural Trust Consortium)

Hi Michael,

The summary widget is filtered to select different production seasons and then I have the following formula to calculate how many have since returned.

The first part of the formula recognizes if they are a first-time buyer^{[HW: see below #1]}, and then the second part adds in whether they have come to anything else.

Taking this formula, I then add onto it to create a proportion of how many are returning:

So, the denominator here just gets a total count of first-time buyers, as in the first part.

COUNT ( [Constituent ID] , IF ( MIN ( DDIFF ( [Days in Date] , [Days in First Performance Date] ) ) > 0 , [Max Constituent ID] , NULL ) )

You won't be able to use a jump-to with these formulas, but you could always add a constituent ID to a pivot table to download and import as a manual list to verify.

communitytest.tessitura.com/.../FirstTimeBuyerWidgetIdeas.dash

Tags: wiki, first time buyers, analytic Coffee!, new to file

First Time Buyers and Subsequent Buying

Heath Wilder — Wed, 08 Nov 2023 06:37:34 GMT

Revision 1 posted to Wiki by Heath Wilder on 11/8/2023 6:37:34 AM

From (+) First Time Buyers from Previous Year Returning in 2023 - Discussions - analytic Coffee! - Tessitura Network

Michael Dorsey (Spoleto Festival USA)
I'm wondering if anyone has anything that gives the accurate number first time buyers from a specified year that returned this year?

Christine Wingenfeld (Pittsburgh Cultural Trust Consortium)

Hi Michael,

The summary widget is filtered to select different production seasons and then I have the following formula to calculate how many have since returned.

The first part of the formula recognizes if they are a first-time buyer^{[HW: see below #1]}, and then the second part adds in whether they have come to anything else.

Taking this formula, I then add onto it to create a proportion of how many are returning:

So, the denominator here just gets a total count of first-time buyers, as in the first part.

COUNT ( [Constituent ID] , IF ( MIN ( DDIFF ( [Days in Date] , [Days in First Performance Date] ) ) > 0 , [Max Constituent ID] , NULL ) )

You won't be able to use a jump-to with these formulas, but you could always add a constituent ID to a pivot table to download and import as a manual list to verify.