0 plans under observation
Movers
How “biggest” is decided
0 ranked movers
Filters
Rising
Top 0 over 30 days, ranked by the change in price per unit: the move an invoice feels
Nothing rose over the last 30 days under these filters.
Falling
Top 0 over 30 days, ranked by the change in price per unit: the move an invoice feels
Nothing fell over the last 30 days under these filters.
Most repriced
Changed most often in the last year, so unstable to budget against however the year netted out
No plan was repriced more than once in the last year under these filters.
Where the movement is
Mean net list-price change by service, last 30 days
No service moved over the last 30 days.
How these numbers are calculated
Each plan's change compares the price in effect today with the price in effect 30 days ago. $ impact ranks by the difference between those two prices: the money a unit costs now that it did not before. % move ranks by that difference relative to the old price. They are different questions and they return substantially different lists: unit prices here span several orders of magnitude, so the largest percentage moves are usually sub-cent plans where a fractional adjustment is a big proportion, while the largest cash moves are the accelerator and instance hours. Neither list is filtered by price unless you set a floor above, and the floor shows as a removable chip when you do.
Plans that did not exist at the start of the window are excluded from the ranking rather than counted as an infinite rise. They appear in the changelog as new plans instead. Service roll-ups are the mean across that service's moving SKUs, so a service with one dramatic outlier does not look like a service that repriced everything. Both rankings show the top 20 of the matching set; the full set is in Explorer.