Timeline for Measuring effectiveness of debt reminders
Current License: CC BY-SA 4.0
7 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Jul 25, 2023 at 8:33 | comment | added | Nemo_the_scientist | Yes, this is basically what an interrupted time series is. You calculate the trend before the reminder and see if the reminder changes it significantly. My issue is that there are many events (reminders) and I'm not sure an interrupted time series is the best option. | |
| Jul 25, 2023 at 8:28 | comment | added | user2974951 | But this is still based on the same data, customers who received reminders? | |
| Jul 25, 2023 at 8:26 | comment | added | Nemo_the_scientist | There are many methods - moving average, weighed average, arima, sarima... | |
| Jul 25, 2023 at 7:30 | comment | added | user2974951 | And how do you obtain this expected line? | |
| Jul 25, 2023 at 7:28 | comment | added | Nemo_the_scientist | You can draw an expected line and see how much it deviates from the expected. | |
| Jul 25, 2023 at 7:01 | comment | added | user2974951 | If you have no control how do you hope to find out the effect of reminders? You do not know how the group with no reminders would behave. | |
| Jul 25, 2023 at 6:56 | history | asked | Nemo_the_scientist | CC BY-SA 4.0 |