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CMS Audience Analytics

  • Easy Integration
  • Get insights into your audience
  • Personalize and curate content based on audience data
  • Improve your ROI

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Power your CMS with Audience Analytics

Know who is watching your content based on audience analytics data. Optimize and personalize your content, and give your customers a better experience.

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DeepSight Toolkit

  • Get started quick and easy
  • No need for hard coding
  • Real-time analysis
  • Interactive user-friendly interface

DeepSight SDK

  • Software Development Kit
  • Build your own solution
  • C++ expertise needed
  • Works offline (one-time internet connection)


  • Audience Analytics Solution
  • Ready reports connected to the Toolkit
  • Plug & Play solution
  • No need to program

Get to know your customers

Target and deliver tailored content to individuals based on their demographic profiles

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“Through the aggregation of Sightcorp data with multiple data detection points, people-counting and Wi-Fi analytics, our ads and messages are more targeted and honed to specific audiences resulting in enhanced customer experience and interaction, and consequently delivering an overall higher ROI for clients.“

─ Patrick Hayes, Managing Director, Focal Media Limited


CMS Audience Analytics

What is Audience Analytics for CMS?

Audience analytics for CMS is insightful information about content viewership. It is a computer vision technology that uses pattern detection algorithms that identify facial points and filters them into several audience viewership variables. These variables include viewer count, gender, age range, dwell time, and even viewer sentiment.

How does Audience Analytics work?

Audience viewer information is captured by a computer powered camera inside a digital sign and is processed by our face analysis software. The technology does not recognize who someone is; it only detects the presence of a mathematical human face.

Why integrate audience analytics with CMS?

Integrating audience analytics with your CMS will increase the efficiency of advertising on any digital signage screen.
By knowing who is watching your content, you will be able to create personalized ads that speak directly to your target audience.

How accurate is our audience analytics technology?

Our software can estimate age with accuracy up to +/- 5 years. The highest accuracy can be achieved by creating a suitable scenario for the software such as placing the camera at eye level of individuals together with optimal lighting conditions.

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Technical Specifications

The table below shows how FaceMatch SDK performs on the Labelled Faces in the Wild (LFW) dataset:

FPRTPRThreshold (Inverse of distance)
0.10.99900 ±0.002130.55448
0.010.99667 ±0.005370.59791
0.0010.99367 ±0.006050.62989

FPR = False Positive Rate
TPR = True Positive Rate

These results are an indication only and are based on the specific dataset Labelled Faces in the Wild. Customers can expect similar performance, with possible variations due to hardware and the availability of annotated data.