If 15% of all shoppers visit your store within a 2-3 day period you should see a sales spike on everything they buy, SNAP funded or not . So, why do we not see a spike on everything? Why are some spikes so much bigger than others?
The chart below shows (simulated) daily point of sales data for a SNAP-responsive product in one state. The horizontal axis shows days of the month, the vertical shows a sales 'Index' relative to the average day. You can see that sales around the 1st and 10th of the month are roughly double what they are on other days.
If you also know that this state releases SNAP funding on the 1st and 10th of each month, you might assume that the SNAP shopper takes their newly-charged EBT card and within 2-3 days spends the lot.
A relatively high proportion of SNAP funding is spent quickly and this ties well with the idea of a "stock-up" trip. (If you have the capability to see basket size by date, you should be able to confirm that baskets around SNAP release dates are substantially larger than otherwise.)
So why do I think that this does not represent all SNAP spending?
So, how do you know if your products are responsive to SNAP funding dates? If you have access to the payment details by basket it's a slightly simpler process of querying your data and correlating across to SNAP release dates. If you have daily point of sale data you need to build predictive models against total sales rather than SNAP specific sales (Do you need daily Point of Sale data?). In either case, you are dealing with very large quantities of data and need the right tools and the knowledge to wield them effectively (Bringing your analytical guns to bear on Big Data, Data handling - the right tool for the job).
If you do not know which products, stores and dates will see spikes in demand how can you ensure product is on-shelf? Ignoring SNAP may be costing you sales.
If you're ready to get started - call me.
A relatively high proportion of SNAP funding is spent quickly and this ties well with the idea of a "stock-up" trip. (If you have the capability to see basket size by date, you should be able to confirm that baskets around SNAP release dates are substantially larger than otherwise.)
So why do I think that this does not represent all SNAP spending?
Some products are just not good candidates for a once-a-month stock-up trip. Milk for a month? I don't think so. Bananas seem to go soft in my house if I forget them for 1-2 days. A month's supply of a product may take up more room that I have available in the cart, car, refrigerator, freezer, or store cupboard. Some of this will have to wait.
Some products are more attractive for stock-up trips: larger sizes of frequently consumed products that are stable (on shelf, in fridge or freezer) and perhaps also with "treats" that can be purchased while there is a little extra money available.
According to the USDA, in 2011, the average monthly SNAP benefit per household was $284. Remember that this is $284 spent on SNAP eligible products only: leave out non-food/beverage items, hot foods, ready-to-eat items, alcohol and tobacco. Can it be done? Yes, but its going to be tough to fit into one shopping cart or in your car or in your kitchen. $284 is the monthly benefit for the average household of 2.1 people. Could a family of 4 realistically buy even most of their food once a month? Even if the SNAP shopper could buy all their food and beverage items in one trip, they still need other grocery items, paper goods, cleaning products etc. that takes up additional space.
Finally, the countrywide adoption of EBT cards, rather than paper vouchers, means the SNAP shopper can spend as little as they need right now without losing any of their benefits. (Something the similar WIC program is still working on in most states).Despite the big spikes in sales we see for some products around SNAP funding dates, the SNAP shopper is not buying all their monthly supplies in one trip. Some products will be much more responsive to SNAP funding than others because they fit well with the SNAP shopper's trip-type and taste preferences.
So, how do you know if your products are responsive to SNAP funding dates? If you have access to the payment details by basket it's a slightly simpler process of querying your data and correlating across to SNAP release dates. If you have daily point of sale data you need to build predictive models against total sales rather than SNAP specific sales (Do you need daily Point of Sale data?). In either case, you are dealing with very large quantities of data and need the right tools and the knowledge to wield them effectively (Bringing your analytical guns to bear on Big Data, Data handling - the right tool for the job).
If you do not know which products, stores and dates will see spikes in demand how can you ensure product is on-shelf? Ignoring SNAP may be costing you sales.
If you're ready to get started - call me.
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