The smartphone is ubiquitous. Retailers can take advantage of this by implementing technology that analyzes shopper behavior. Mobile-enabled foot traffic analytics helps determine peak traffic behaviors, conversion rates and dwell times in brick-and-mortar stores. This data can then be used to plan and re-configure store layouts and merchandise displays in order to better attract shoppers. Studies have shown that using this data strategically can boost sales and customer loyalty. This presentation highlights four ways retailers can use foot traffic analytics to increase improve customer experience and increase sales.

1. How to Use Mobile-Enabled
Foot Traffic Analytics
Four ways to increase retail sales

2. What is Mobile-Enabled Foot Traffic Analytics?
This technology enables retailers to better understand customer behavior. As a
result, they can make improvements to store layouts, promotions, displays, staff
schedules and more to attract and convert shoppers more effectively.
This analytics solution works by communicating with the unique mobile device
IDs smartphones give off when they recognize a store’s WiFi or Bluetooth
network to track the shopper’s movement.

3. Use Foot Traffic Analytics to Increase Sales
Here are 4 ways to use this technology to improve marketing efforts and boost
sales:
1. Discover why stores perform well so
you can make improvements to other
locations.
2. Get detailed customer behavior data
to optimize other marketing efforts.
3. View customer behavior in multiple
zones to guide layout, signage and
product display strategies.
4. Test different layouts and product
displays to find the one that leads to
the most conversions.
Image created by Jim Rush used under CC/BY.

4. Discover Why Stores Perform Well
Are the best-performing locations
generating more sales because of
better displays? Customer behavior
data lets you compare to find out.
!
One clothing retailer found shoppers
at high-performing stores shopped
an average of $34 minutes and
spent $60, while shoppers at lowperforming stores shopped 22
minutes and spent $40. The retailer
used incentives at low-performing
stores to engage shoppers and
boosted shopping time 5-7 minutes,
resulting in $25 million in added
annual revenue.
Image courtesy of Euclid Analytics.

5. Optimize Other In-Store Actions
Understanding customer traffic
patterns, dwell times and peak
times can help you coordinate other
operations.
!
The State of Vermont Welcome
Centers integrated mobile foot traffic
analytics with their digital
advertising displays.
!
Digital signage is adjusted based on
visitor population behavior and
delivers a variety of content
including travel advisories, Amber
Alerts and local event information.
!
Image courtesy of Route802.

6. Segment Store for Better Zone Analysis
Understanding customer behavior in
different zones helps retailers figure
out where to place displays and
merchandise at certain locations.
!
A big box retailer found 60 percent
of traffic occurred in only 30
percent of the store. It adjusted
signage and placement of the most
profitable brands to drive traffic to
the remaining 70 percent of the
store.
Image courtesy of iInside.

7. A/B Test for Higher Conversions
Use mobile-enabled foot traffic
technology to A/B test. For
example, display the same product
on two different aisles, then
measure which location sells more.
!
The Cellular Connection is refining
store layouts for high-margin
accessories, such as chargers and
headsets. Tests found these items
sell in greater number when moved
to the front of the store.
Image courtesy of Euclid Analytics.

8. Read Report
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