Identify each store regular times of peak foot traffic throughout the week

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Ensure a positive customer shopping experience by positioning an optimum number of staff to meet customer needs.

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Use historic foot traffic data to staff at optimum levels by time and day of week.

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Compare performance of each team based on opportunity and conversion.

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Schedule more personnel to peak selling times.

Set up incentive programs coordinated with increased foot traffic and opportunity.
Evaluate employee performance based upon actual conversion results.
Set internal benchmarks for foot traffic levels and patterns.

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Review traffic and conversion levels of each store, compare and identify opportunities for improvement.

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Use traffic trends to predict future sales. Use objective data to evaluate, internalize and focus on best practices for shopper conversion.

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Measure the performance of new vs established stores over time.
Understand the traffic impact of competitive store presence and promotions.

Combine weather data and store traffic data to determine the potential impact of weather events on store or regional traffic.

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Forecast inventory levels based on foot traffic and conversion rates.

Establish shopper conversion rate averages for each store and compare throughout a area, by day of the week, by staffing level or by staff composition, by time period.

Measure the changes in foot traffic according to marketing campaigns, advertising or promotions

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Use foot traffic and conversion to determine the effective duration of a marketing program

Evaluate whether marketing created “buying” traffic or “browsing” traffic

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Conduct real estate evaluations and compare traffic between different locations.

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