Default phasing acts as the default time period granularity used to represent seasonality in program line forecasts.
Each phasing period is given a value proportionate to each of the others, which determines how the forecast should be spread across the phasing periods.
For example: If phasing periods represent each month, if each phasing period is given a default phasing value of 1, then the initial forecast would be split equally between each month. Alternatively, if January-November all have a value of 1 but December has a value of 0.5 due to store closures, then the initial forecast would be split so that each phasing period is equal, apart from December which would be half the value of the other periods. For more precise control, higher values could be used.
Default phasing values can be amended at any time, providing you with the flexibility to change a forecast during its term.