Cisco Cisco 3365 Mobility Services Engine Getting Started Guide
At-A-Glance
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Using Location Intelligence to Make Informed Business
Decisions
Businesses are increasingly challenged to find new ways to get in front of and engage
customers. And with over 10 billion mobile devices connected by 2018, it’s time to
start thinking out of the box. What if you could make use of your existing networking
infrastructure to help provide business intelligence for operational optimization? With
Cisco, you can.
customers. And with over 10 billion mobile devices connected by 2018, it’s time to
start thinking out of the box. What if you could make use of your existing networking
infrastructure to help provide business intelligence for operational optimization? With
Cisco, you can.
Cisco’s Connected Mobile Experiences (CMX) solution uses the high-density wireless
network with a Cisco® Mobility Services Engine to allow organizations to collect
aggregate location data on Wi-Fi users. CMX Analytics is a data visualization engine
that helps organizations use the network as a data source for business analysis to
tease out behavioral patterns and trends, which in turn can help the business make
informed decisions on how to improve the visitor experience and boost customer
service.
network with a Cisco® Mobility Services Engine to allow organizations to collect
aggregate location data on Wi-Fi users. CMX Analytics is a data visualization engine
that helps organizations use the network as a data source for business analysis to
tease out behavioral patterns and trends, which in turn can help the business make
informed decisions on how to improve the visitor experience and boost customer
service.
Imagine this: John is a store manager for a large department store. He just returned
from his quarterly business review, where he was told that his store is not performing
as well as others across the country.
from his quarterly business review, where he was told that his store is not performing
as well as others across the country.
Using the CMX Analytics dashboard, he can see that only 30 percent of the visitors
to his store go to the second floor. He can see that for the other stores in the chain
that percentage averages 45 percent. With this analytics insight, John decides to add
mobile notifications for customers on the first floor about promotions and seasonal
displays on the second floor. He also removes some of the stands that had blocked
access to the escalators to create a more open layout and to make it easier for
customers to get to the second floor.
to his store go to the second floor. He can see that for the other stores in the chain
that percentage averages 45 percent. With this analytics insight, John decides to add
mobile notifications for customers on the first floor about promotions and seasonal
displays on the second floor. He also removes some of the stands that had blocked
access to the escalators to create a more open layout and to make it easier for
customers to get to the second floor.
CMX Analytics allows John to track the impact of his operational adjustments. He soon
notices that the average percentage of visitors to the second floor has increased to 35
percent, thus supporting second-floor conversions.
notices that the average percentage of visitors to the second floor has increased to 35
percent, thus supporting second-floor conversions.
This is just one of the use cases that CMX Analytics brings to life.
In-Venue Insight
Insight into customer patterns and behavior while at your premises is crucial to business
planning. However, organizations often lack visibility into the movement patterns of
customers after they are inside their premises. Imagine if you could use aggregated
analytics gathered from end-user Wi-Fi signals to increase business efficiency and gain
marketing insight by intimately understanding the complete end-user journey inside the
venue. You can use your Wi-Fi deployment to understand where people in your venue go,
how long they spend in various places, and patterns of repeat versus first-time visitors.
planning. However, organizations often lack visibility into the movement patterns of
customers after they are inside their premises. Imagine if you could use aggregated
analytics gathered from end-user Wi-Fi signals to increase business efficiency and gain
marketing insight by intimately understanding the complete end-user journey inside the
venue. You can use your Wi-Fi deployment to understand where people in your venue go,
how long they spend in various places, and patterns of repeat versus first-time visitors.
Hourly Visitors and Dwell Time
No of Visit
ors
A
vg. Dw
ell Time (mins)
900
800
700
600
500
400
300
200
100
800
700
600
500
400
300
200
100
13th Jan 2014 00:00
13th Jan 2014 01:00
13th Jan 2014 02:00
13th Jan 2014 03:00
13th Jan 2014 04:00
13th Jan 2014 05:00
13th Jan 2014 06:00
13th Jan 2014 07:00
13th Jan 2014 08:00
13th Jan 2014 09:00
13th Jan 2014 10:00
13th Jan 2014 11:00
13th Jan 2014 12:00
13th Jan 2014 13:00
13th Jan 2014 14:00
13th Jan 2014 15:00
13th Jan 2014 16:00
13th Jan 2014 17:00
13th Jan 2014 18:00
13th Jan 2014 19:00
13th Jan 2014 20:00
13th Jan 2014 21:00
13th Jan 2014 22:00
13th Jan 2014 23:00
0
30
28
26
24
22
20
18
16
14
12
10
8
6
4
2
No of Visitors
Avg. Dwell Time