Don't think averages are useful since the data is noisy. Probably just count the troughs instead to signal new customer download. Then back-test with past announcements to see if the downloads makes sense with the reported contracted beds for the period. You don't need to average to figure out the number of downloads.
By logic we could assume Painchek should have roughly 50k in downloads if there are 50k contracted beds. However, it's the carers that download the app. The aged care facility receive the license by Painchek, thus the actual number of downloads depends on the number of carers working at the facility. That unfortunately is a case by case basis, some aged care homes are large while others are small. Therefore, you have different numbers of staff per aged care facility.
The current thesis regarding the downloads is that large spikes correspond to new customers. However, there is the counter argument where spikes in downloads could instead come from existing customers. Reason being, that existing aged care customers may have onboard new staff and that the new staff downloaded the app. Therefore, spikes doesn't really mean anything.
Hence, it is imperative that you compare the downloads with the number of beds for that period. That tells the truth. If there is correlation, then you can deduce if the hypothesis is correct. Otherwise we are not sure if the downloads come due to new customers with new carers or existing customers with new carer.
Maybe you can ask this question to PD in your next interview after the quarterly/annual report come out @GCInvestor
"Overtime do app downloads (not usage) increase from early customers?" You could follow it up with "Are there fixed number of licenses given to aged care facility and have you seen multiple carers share that license?"
That would weed out the uncertainty for people here in the forum looking at app downloads everyday![]()
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