Juniper Mist User Engagement

The Juniper Mist User Engagement cloud subscription service uses Virtual BLE (vBLE) array technology and cloud-based machine learning to drive down deployment costs and improve the accuracy of real-time indoor location services, from wayfinding to location-based proximity notifications. With our patented vBLE , indoor location services are finally easy to deploy and scale, giving you unprecedented accuracy and agility.


User Engagement is just one of the location services we offer. We also offer Asset VisibilityContact Tracing and Premium Analytics.

Key Features


  • Implement new wireless services, such as indoor navigation and proximity messages
  • Drive customer behavior with contextual offers
  • Trigger HVAC, security cameras, and other IoT devices based on user location
  • Easily direct employees to available resources such as meeting rooms
  • Share location information with colleagues, family, and friends

Features + Benefits

With accuracy up to 1 meter, real-time wayfinding helps your employees, guests, and customers get to where they need to be, with turn-by-turn directions and subsecond latency.

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Proximity notifications and alerts let you greet your patients, clients, or customers as they arrive on site.

You can create push notifications anywhere with unlimited virtual beacons, and deliver contextually relevant messages anywhere for a personalized mobile experience.

 

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Juniper Mist offers a mobile SDK with open APIs for full automation and seamless integration with complementary products.

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Our User Engagement service includes base capabilities for analyzing up to 30 days of data, simplifying the process of extracting network insights from data and analytics across your enterprise.

You can review weekly schedules of repeat visitors (customer or employee) and then properly align your support resources or introduce enhanced premium services.

A Magic Quadrant Leader

For the third year running, the 2024 Gartner® Magic Quadrant™ for Indoor Location Services report names Juniper Networks a Leader. Gartner once again recognizes Juniper for our Completeness of Vision and Ability to Execute.

 

See why we’re a Leader in this report

CUSTOMER SUCCESS

Veterans receive proper care through wireless with Mist AI. The U.S. Department of Veterans Affairs’ Orlando VA Medical Center (VAMC) serves more than 400,000 veterans across a brand-new 65-acre, 1.2 million square-foot facility. As a state-of-the-art medical center, the Orlando VAMC is constantly looking for innovative ways to leverage technology to deliver a high-touch experience to patients, guests, and staff.

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Products in the Juniper Mist family

Image depicting Juniper User Engagement cloud service

User Engagement

User Engagement uses virtual Bluetooth LE (vBLE) array technology and cloud-based machine learning to drive down deployment costs and improve the accuracy of real-time indoor location services, from wayfinding to location-based proximity notifications.

Technical Features
  • Implement new wireless services, such as indoor navigation and proximity messages
  • Drive customer behavior with contextual offers
  • Trigger HVAC, security cameras, and other IoT devices based on user location
  • Easily direct employees to available resources such as meeting rooms
  • Share location information with colleagues, family, and friends
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Juniper Mist Premium Analytics dashboard screenshot of client and SLEs insights

Premium Analytics

Juniper Mist Premium Analytics is a cloud-based subscription service that offers end-to-end network observability, giving IT and line-of-business users unique network and location insights.

Technical Features
  • Up to 13 months or more of data storage
  • Report scheduling
  • Ingestion of Mist AI data
  • Ability to mix/match data sets
  • Simple, preconfigured dashboards
  • Complete visibility into security events on the network
Screenshot of Juniper Wi-Fi Assurance cloud service

Wireless (Wi-Fi) Assurance

Driven by Mist AI and machine learning, the Juniper Mist Wireless Assurance cloud service automates troubleshooting and operations, making wireless networks predictable, reliable, and measurable while providing near-real-time visibility into user service levels.

Technical Features
  • Proactive optimization of wireless performance
  • Simple and secure access to resources
  • Dynamic packet capture for troubleshooting
  • Proactive root cause identification
  • Network automation with APIs
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Why Juniper is outpacing the competition

Before you take another step in building out your network, check out this wired and wireless LAN comparison guide. See how Juniper, driven by Mist AI™, stacks up against Cisco, Cisco Meraki, and Aruba/Hewlett Packard Enterprise.

See Mist AI in action

Join our weekly demo to see how we deliver the industry’s best access layer experience for wired and wireless networks.

Find User Engagement in these solutions

Wireless Access

AI-Native automation and insight, coupled with the agility and reliability of a microservices cloud, deliver optimized wireless access experiences and simplified network operations.

Indoor Location Services

Juniper Mist Indoor Location Services use virtual Bluetooth LE (vBLE) to enable businesses to provide location-based experiences that are engaging, accurate, real-time, and scalable. 

Juniper Mist User Engagement FAQs

What is Juniper Mist User Engagement?

Juniper Mist User Engagement is a subscription-based cloud service that enables the highly accurate indoor tracking of people and assets. It’s used for the purpose of engaging individuals in a meaningful way, such as helping them navigate to a destination and/or targeting them with proximity messages, advertising, and contextual offers. The service converges standards-based Bluetooth® LE and Wi-Fi technologies in Juniper Access Points to allow engagement platforms to discover location information about each user that can be used for decision-making and personalized messaging.

How does Juniper Mist User Engagement work?

User Engagement uses the concept of probability surfaces instead of triangulation. The more RF signals a client “hears” from Juniper APs, the more received signal strength indicator (RSSI) data there is for the location engine to work with to create a sum of probability surfaces. This approach provides the best possible location accuracy in real time and with sub-second latency. Mobile devices containing the Juniper location SDK receive BLE signals from Juniper AP(s). The SDKs then send the mobile information to the cloud, where the Juniper Mist location engine calculates an x, y coordinate for each device and sends it back to that device. This process happens continually, as users move and the RF environment changes dynamically.

Who should deploy Juniper Mist User Engagement service?

Organizations wanting to provide enhanced experiences to customers based on their locations should use the User Engagement indoor location service. They can use their existing Juniper Access Point infrastructure to begin using the service, with no need to deploy any new hardware or overlay networks.

How do I deploy Juniper Mist User Engagement?

You simply subscribe to the User Engagement service on a per-AP basis.

How accurate is User Engagement in tracking assets and resources?

Using our patented virtual BLE (vBLE) beacons/tags, the service delivers location accuracy of 1 to 3 meters.

Can a customer use User Engagement and the Juniper Mist Asset Visibility service, which locates tagged equipment throughout the customer’s defined indoor space, together?

Yes, both services can be enabled at the same time via controls in the Juniper Mist dashboard.

Does User Engagement offer programmability and integration options?

The Juniper Mist platform is 100% programmable, using open APIs, for full automation and seamless integration with your external applications and complementary products. The APIs provide the capability to invoke actions based on user or external events, as well as to use the cloud-native webhook framework.

How does Juniper Mist utilize machine learning for location accuracy?

Juniper Mist machine learning operates across distinct end-user devices, gathering location estimates from them, detecting RF characteristics based on the input, and constructing specifically tailored path- loss formulae. Our AI learning system continuously and automatically adapts the path-loss formulae to account for different devices and dynamically changing RF environments, allowing the system to maintain precise and up-to-date location information.

Gartner, Magic Quadrant for Indoor Location Services, Tim Zimmerman, Annette Zimmermann, Nick Jones, 28 February 2024

GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, and MAGIC QUADRANT is a registered trademark of Gartner, Inc. and/or its affiliates and are used herein with permission. All rights reserved.

Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.