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Calendar Shift Contributed to Flat Retail Foot Traffic
Traffic to brick and mortar retail chains remained essentially flat in March 2026 following a period of steady year-over-year (YoY) gains – although calendar shifts may account for some of the apparent slowdown.
Saturday is typically the busiest day for in-store shopping, and March 2026 had one fewer Saturday than March 2025, which likely weighed on overall foot traffic, as average daily visits on each weekday in March 2026 were all higher than the monthly average. At the same time, the increase in average visits per weekday on most days was smaller than the YoY monthly growth in January and February – suggesting that consumer caution may have also played a role in the March traffic trends. April data should bring more clarity as to how much of the slowdown was driven by a calendar shift versus emerging consumer caution.
Earlier Easter May Have Boosted March E-Commerce Visits
Meanwhile, traffic to e-commerce distribution centers skyrocketed in March – with visits rising 16.2% compared to March 2025 – perhaps helped by a different calendar shift. The shift in Easter – from April 20 in 2025 to April 5 in 2026 – likely pulled some holiday shopping into late March, boosting activity.
Manufacturing Activity Holds Steady Despite Labor Contraction
On the manufacturing side, foot traffic to plants remained relatively flat in March 2026, rising just 0.7% YoY nationwide.
The March ISM Manufacturing PMI showed growth in new orders and production compared to February, while employment declined – pulling foot traffic trends in opposite directions. The muted visit growth suggests facilities are maintaining operational intensity even as headcounts shrink, pointing to manufacturing activity becoming less labor-dependent, with output continuing to drive facility usage despite subdued hiring.
Looking Ahead
March’s data suggests that underlying consumer and industrial activity remains resilient, with calendar dynamics distorting headline trends rather than signaling a true slowdown. Looking ahead, as calendar effects normalize, retail and logistics activity may better reflect this underlying strength, while manufacturing continues its shift toward higher output with leaner workforces.
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.
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