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Display targeted content that directly relates to your audience

Identify features of customers approaching a sensor. NowSignage utilises the functions of audience measurement and engagement platform Quividi to do this. The NowSignage platform can then take this data and trigger content appropriate for the customer who has approached the sensor. The technology can detect the age, gender and even the emotion of a person. All of these attributes can then be used to trigger targeted content.

Age & Gender Triggers

Change up advertising depending on who is looking at the screen.

NowSignage can trigger changes to the advertised content on a screen in real-time. Create playlists of content for different demographics of customers and allow NowSignage’s integration with Quvidi automatically switch between them as different people enter the store. A hipster with a beard is viewing the screen, sell him a beard grooming kit!

Age & Gender Triggers
Age & Gender Triggers

Measure audience per content analytics.

We provide real-time APC analysis of exactly who is engaging with your campaigns directly through the NowSignage CMS. This next level of analytical insight, makes it possible for marketeers to understand the effectiveness of their content in correlation to the impact it has on their viewers.

Frequently Asked Questions

Age and gender triggers utilise facial recognition and analytics technologies to identify the approximate age range and gender of viewers interacting with digital signage. This data enables the customization of displayed content based on demographic information. For instance, by analysing demographics, digital signage can tailor advertisements, promotions, or messaging to better resonate with specific age groups or genders, creating a more personalised and targeted experience for viewers.

Implementing age and gender triggers involves crucial considerations. Firstly, ensuring compliance with privacy regulations and obtaining explicit consent for data collection and analysis is vital to safeguard viewer privacy. Secondly, utilising accurate and reliable facial recognition technologies and algorithms to accurately identify age ranges and genders enhances the effectiveness of trigger-based content customization. Additionally, maintaining transparency and providing opt-out options for viewers concerned about data collection further fosters trust and acceptance of these technologies.

Age and gender triggers significantly impact audience engagement and advertising effectiveness by delivering more targeted and relevant content to viewers. Personalising content based on demographic data enhances audience engagement by presenting content that resonates with their preferences and interests. For example, displaying products or promotions tailored to specific age groups or genders increases the relevance of advertisements, potentially leading to higher conversion rates and a more positive viewer response. Age and gender triggers, therefore, play a crucial role in optimising the effectiveness of digital signage by delivering personalised and engaging content to the intended audience.

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