Has anyone worked out a way to do high level reporting over time on daily ticket availability.
I'm thinking about looking at long term trends on things like Hold Codes...
And want to see how many tickets are available on each day and under each type of hold code or not.
--Tom
Hi Tom, did you make any progress with this?
Interesting, I am looking at this also. The least problematic approach so far is keeping logs of historic availability reports, then compiling them into a larger document. This is far from ideal, and does not let us look at past years availability trends.
The main insight is to see when spikes in sales coincide with held seats being released and made available. This is common sense when you are monitoring reports daily, but is harder when looking over a longer period.
Pent up demand is one possible factor that we are trying to understand better. Essentially, I am trying to get a 4 P's marketing approach to monitoring the sales cycle, in-season and for post-season reviews:
When price reserve availability cannot be charted alongside ticket sales and price history, there is a tendency to attribute all changes in demand to things that can be measured: price changes, and proximity to performance.
I would really like to remove that tendency.