Transforming your syndicated data into business insight
Purchase Frequency is a panel data measure. It is the number of times your average buying household purchases your product over a whole time period (usually a year). Purchase Frequency remains the same regardless of which sales measure is used (dollars, units or EQ volume). In Nielsen the fact is called Item Trips per Item […]
Purchase Size is a panel data measure. It is the average amount of product purchased by one buying household on a single shopping trip. Purchase Size can be calculated in dollars, units, or EQ volume. In Nielsen the fact is called Item Sales per Item Trip. In IRI the fact is Sales per Trip. If […]
Each retailer trading area offered by Nielsen/IRI also has a “remaining market”. The remaining market represents that retailer’s competition in that geographic region. This remaining market is important for benchmarking. To create the remaining market for a retailer, IRI and Nielsen include all competitive stores physically located within the boundaries of that retailer’s trading area. […]
See Trading Area (TA).
In the context of household panel data, a static panel is a subset of the total panelists registered. To be included in the static panel, a panelist must meet criteria around: Length of time in panel Consistency of reporting, typically measured by number and frequency of transactions reported The length of time requirement will usually […]
Both Nielsen and IRI construct retail geographies in consultation with individual retailers. Nielsen calls these geographic areas Trading Areas (TAs). IRI calls them Retailer Marketing Areas (RMAs). A TA/RMA is constructed by county. A TA/RMA can cross state borders. In many cases, Nielsen and IRI will offer multiple TA/RMA options for a particular chain. For […]
