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?
Business Analytics and Predictive Modeling for CPG/Retail
Showing posts with label WIC. Show all posts
Showing posts with label WIC. Show all posts
SNAP Analytics (2) - Purchase Patterns
Roughly 15% of the United States population receives SNAP funding to help pay for food and beverage items. We know that when SNAP (food stamp) funding is released in each state (see SNAP Analytics (1) - Funding and spikes) this is accompanied by significant sales spikes on some products,
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?
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?
Do you need daily Point of Sale data? Do you like selling more product?
Most people report on their Point of Sale data in weekly or perhaps even monthly buckets . If you are interested in seeing a long-term trend or annual seasonality that's OK, but if you really want to know what's going on, to ensure you have product on shelf, and promotions running when your target shoppers are in store - you need daily POS data. Don't believe me? Let's look at an example...
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