LOFT Demographics and Foot Traffic Insights

Leverage Placer’s location analytics to analyze and compare chain performance and track industry trends over time
Metrics
February 2025
Vs.
February
2024
LOFT
MoM change
%
YoY change
%
Total Visits
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Avg. Visits/Locations
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Nationwide Foot Traffic Visits for LOFT Stores

Compared to 10 Months Ago
LOFT
/
 experienced a
41%
 change in visits in
November 2024
 compared to
February 2024
Examine nationwide foot traffic visits across all
LOFT
/
stores, evaluating their performance relative to the industry average. Tailor the report to specific criteria such as chain, state, and time range for a comprehensive analysis.

Most Visited LOFT Stores

LOFT
/
's most popular location is
LOFT
 
5445 Deerfield Blvd, Mason, OH 45040
, with
997
 visitors in
February 2025
Assess all
LOFT
/
 stores based on visitor rankings to identify the most and least visited locations. Determine
LOFT
/
's top-performing store in terms of foot traffic and pinpoint the least frequented store.
Ranked Venues
February 2025
LOFT
Rank
Store Name
Total Visits
Most Visited LOFT Stores
This dataset contains foot traffic rank data for LOFT stores for various states.
 
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LOFT Store Visits Map

LOFT
/
 stores in
Vermont
saw a
61.6%
change in customer visits in
February 2025
compared to
February 2024
Explore
LOFT
/
store visit patterns across the US with this map. Highlighting states with varying levels of foot traffic, this visualization provides insights into regional consumer trends, aiding businesses in optimizing marketing strategies and resource allocation.
Geographic Breakdown
February 2025
Vs.
February 2024
LOFT

LOFT Visitor Demographics

Explore
LOFT
/
audience demographics, including median household income, education level, age, ethnicity, and personas. Gain valuable insights to tailor marketing strategies effectively.
Audience Overview
February 2025
LOFT
Vs.
Competitors
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Chain Visits Forecast
Take the guesswork out of your day-to-day work and get a look into the future of your business!
  • Improve planning, optimize operations, and mitigate risks with projected foot traffic estimates for retail chains.
  • View forecasts by state or top locations and compare against previous years, competitors, and industry benchmarks.
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