Winter Storm Fern Sparked a Retail Rush

How Did Winter Storm Fern Shape Consumer Behavior? 

As Winter Storm Fern advanced across the U.S. in late January, consumer behavior followed a predictable pattern: early preparation gave way to a sharp pre-storm rush, followed by widening geographic divergence as conditions worsened. Retail visit data from January 22nd and 23rd highlights how quickly storm-driven demand intensified – and which categories and regions were best positioned to capture it.

Retail Visits Accelerated as the Storm Drew Closer

Retailers saw a clear escalation in traffic from January 22nd to January 23rd, underscoring how storm proximity compressed shopping activity into a narrow window.

Home Improvement & Furnishings retailers saw the largest visit spikes on both January 22nd and 23rd as consumers focused on preparing their homes ahead of the storm. Visits were already 20.2% above the YTD (January 1st to 23rd) daily average on January 22nd and rose to 41.7% above average the following day – making the category the clear pre-storm leader. The pattern suggests shoppers were prioritizing purchases such as heating supplies, generators, weatherproofing materials, and snow-removal equipment as conditions grew more imminent.

Grocery Stores recorded the second-largest increases, reflecting consumers’ efforts to stock up on food and beverages in anticipation of staying home, with visits up 14.2% on January 22nd and climbing to 28.4% on January 23rd compared to the YTD daily average. 

Value-oriented and necessity-driven categories also saw demand intensify. Discount & Dollar Stores experienced a modest 6.2% lift on January 22nd, which surged to 25.5% the following day. Drugstores & Pharmacies saw visits climb from 9.8% to 21.0%, while Superstores rose from 7.5% to 19.9% over the same period.

Pet Stores & Services stood out for their late-breaking surge: after seeing virtually flat traffic on January 22nd (+0.2%), visits jumped to 18.5% above average on January 23rd, suggesting that many consumers delayed pet-related preparedness until just before conditions worsened.

Across all categories, the doubling of visit lifts from one day to the next indicates that while some consumers planned ahead, a significant share delayed their storm preparations until the threat felt immediate.

Storm Conditions Drove Growing Regional Divergence

The storm’s west-to-east progression was also reflected in shifting regional visitation patterns. On January 22nd, the largest visit surges were concentrated in parts of the Midwest, consistent with Winter Storm Fern’s earlier impacts across inland regions. By January 23rd, as the storm intensified and expanded across the South and Eastern Seaboard, retail visits spiked sharply in those areas as consumers rushed to complete last-minute errands ahead of worsening conditions. At the same time, parts of the Midwest saw more muted growth or visit slowdowns, suggesting that storm-related shopping activity there may have peaked earlier. 

This data suggests that storm-related shopping remains a fundamentally local behavior, with consumers responding most strongly when severe conditions feel imminent in their immediate area. At the same time, the Midwest slowdown suggests that storm-related demand is finite and front-loaded, with visit activity tapering once households complete their initial preparation trips.

Winter Storm Fern Reveals How Quickly – and Locally – Storm-Driven Retail Demand Peaks

AI-driven location analytics reveals that storm-driven retail demand is not only intense but highly compressed, with visits surging in the brief window just before conditions deteriorate locally and fading quickly once preparation trips are complete. For retailers, capturing weather-driven demand seems to depend less on the size of the storm and more on aligning operations to where – and when – urgency is about to peak.

For more data-driven consumer insights, visit placer.ai/anchor. 

Placer.ai leverages a panel of tens of millions of devices and utilizes machine learning to make estimations for visits to locations across the US. The data is trusted by thousands of industry leaders who leverage Placer.ai for insights into foot traffic, demographic breakdowns, retail sale predictions, migration trends, site selection, and more.