Broadsign International, LLC Integrates with Quividi’s Automated Audience Measurement System
The leading provider of digital signage solutions teams with Quividi to deliver enhanced audience information to network operators.
MONTREAL, CANADA. Mar.31, 2014. Broadsign International, LLC has announced that an upcoming upgrade to its cloud-based digital signage software, Broadsign X 10.3, includes integration with Quividi’s audience measurement platform. Quividi is the most deployed measurement solution in the digital signage market and is a fitting addition to Broadsign’s standardized platform that powers over 200 digital signage networks.
The Broadsign X 10.3 software upgrade was disclosed at Broadsign’s Second Annual Client Summit held in Las Vegas on February 11, 2014. The integration with Quividi will allow for the collection of audience counts and the inclusion of these impressions into proof of play reports. It will also permit the triggering of content based on gender, meaning that ad copy will react and adapt to the demographics of the audience viewing a screen in real time.
“Quividi’s camera-based audience measurement system aims to render point-of-sale and out-of-home marketing strategies as accurate and accountable as their digital counterparts,” said Olivier Duizabo, Co-founder and CEO at Quividi. “Integrating with Broadsign’s platform and having the potential to run on its vast aggregate of digital place-based networks will assist in attaining this goal.”
Already making use of the Quividi features available through Broadsign’s upgraded platform is Grandi Stazioni S.p.A. The conversion of Grandi Stazioni’s Italian transit network reaching 700 million people annually to Broadsign’s digital signage platform was publicized in January 2014. Grandi Stazioni has since activated the new audience measurement features and enrolled Dialogica, a Quividi partner, to build a complete set of traditional media metrics and innovative insight, including the calculation of net coverage, frequency and resulting GRP.
“Broadsign holds its services and products to very high standards and we expect those in our ecosystem to do the same,” said Daniel Parisien, Vice President of Marketing and Strategy at Broadsign. “Quividi’s audience measurement solution is an accurate and reliable addition to Broadsign’s platform, and we look forward to our partnership’s future progressions.”
Quividi’s platform delivers a rich set of data to understand how by-passers engage with a screen, such as the number of opportunities to see, number of real viewers, attention time and dwell time, broken down by gender and age class. Those interested in obtaining further information about how Quividi audience measurement can be used in their networks are invited to submit a form to speak with a representative. If your network is not yet running on Broadsign’s platform, sign up for a free trial of Broadsign’s digital signage software.
About Broadsign
Broadsign International, LLC is the first global provider of cloud-based software for digital signage networks. Its platform was designed exclusively as a management system for media companies operating digital out-of-home and digital place-based media networks, giving them an unlimited capacity for growth without adding personnel. After over a decade in the industry, Broadsign’s latest incarnation, Broadsign X, has become a mature and reliable fit for all digital signage software needs and its Android-based smart player, Broadsign Xpress, has decreased the cost of deploying digital signage compared to PC-based hardware alternatives. Broadsign’s constant growth, extensive network and dedication to predicting and responding to industry trends make its digital signage solutions a safe bet for the future of networks with even the most complex of requirements. For more information about Broadsign, visit https://broadsign.com.
About Quividi
Quividi provides a real-time video analytics solution that helps media owners, retailers and brands finely count and qualify their audiences. Using the latest face and body detection technique and running on standard hardware, the Quividi solution delivers exhaustive metrics on viewers, opportunities to see, attention time and demographics, in a completely anonymous fashion and without ever recording any image or personal data. Based in Paris, France, Quividi pioneered the anonymous face detection category in 2006 and is the world leader in Digital Out Of Home audience measurement, with customers in over 43 countries and more than 2.5 billion faces analyzed. For more information about Quividi, visit http://quividi.com.
Product News | October 11, 2021
Understanding (D)OOH metrics: How to measure the success of out-of-home advertising
Understanding the right metrics can make or break your strategy when managing any advertising campaign—and digital out-of-home (DOOH) is no different. Thanks to evolving out-of-home (OOH) measurement and attribution capabilities, successful DOOH advertising now goes beyond displaying an ad on a digital billboard; it’s about reaching the right audience at the right moment with measurable impact. In today’s advertising landscape, where every dollar must show results, relying on outdated methods to track impressions and reach won’t cut it.
In this blog, we’ll break down the key metrics that define DOOH advertising and explain how they stand apart from other forms of digital advertising. Whether you’re a seasoned marketer or new to out-of-home advertising, understanding these metrics is crucial to leveraging DOOH effectively in your marketing strategy.
How digital technology transformed out-of-home ad measurement
Tracking OOH impressions used to be tricky due to its broad, one-to-many nature. For example, measuring how many people pass a billboard is more complex than tracking views on an online ad. But with digital OOH, that’s changing.
Unlike static OOH, which relied on broad reach estimates, DOOH uses technology like in-screen sensors, mobile tracking, and geolocation to provide more accurate audience insights. Advertisers can now track who’s viewing ads, when, and even actions like visiting a store or website. Programmatic DOOH (pDOOH) has further transformed the space, allowing automated ad buying and detailed performance reports. This level of tracking and attribution brings DOOH closer to the precision of online advertising, making it a key part of today’s marketing strategy.
DOOH metrics can be researched and tracked in a number of different ways
DOOH advertising performance metrics
Like any form of advertising, digital OOH has certain quantifiable data points — metrics —that advertisers and media buyers rely on to assess the performance of their campaigns. These metrics help determine whether an ad is reaching its target audience, whether it’s generating the right amount of exposure, and how well it’s driving engagement or conversions.
Some of the most common metrics used to measure DOOH performance include:
Impressions
Definition: The total number of times an ad has potentially been viewed.
How it’s calculated: Impressions are typically calculated using traffic data, sensor-based tracking, or audience measurement technologies (like GPS data or facial recognition software). For example, if 100,000 vehicles pass by a digital billboard each day, and each vehicle has an average of 1.5 occupants, then the number of impressions per day would be approximately 150,000.
The most important metric in digital out-of-home is the number of impressions that a screen gets over a given time period. Impressions help measure performance by estimating the number of times people view an advertisement, and they often determine how much an ad will cost. However, determining how many impressions a screen gets is a little tricky.
With online advertising, one appearance of an ad on one screen is likely to reach one person. But since out-of-home is a one-to-many medium, with several people likely to be looking at a screen at any given moment, media owners apply an impression multiplier to each ad play on every individual screen.
Determining these dynamic multipliers requires real-time (or relatively real-time) data collection. Different networks rely on different tools to gather this data. Cinemas, for instance, can use ticket sales to get a good idea of how many people see a given ad up on the screen. Other businesses might use cameras and sensors integrated with a DOOH analytics platform like Quividi or Linkett to collect view data on an ongoing basis. Still, others might use an independent third-party research firm like Geopath or Nielsen to conduct a statistical analysis of the likely views that a screen will get.
Reach & frequency
Definitions: Reach measures how many unique people are exposed to your ad, while frequency indicates how often those people see it over a given period.
How they’re calculated:
Reach estimates the unique viewers from total impressions by distinguishing repeat views from new ones. For example, if an ad location has 500,000 unique passersby in a week, the reach is 500,000.
Frequency is calculated by dividing total impressions by reach. For example, if an ad has 1,000,000 impressions and reaches 250,000 unique people, the frequency would be 4 (1,000,000 ÷ 250,000).
Reach and frequency, both based on impressions, capture different aspects of a campaign’s effectiveness. They help advertisers balance exposure: too few views risk low recall, while too many can lead to ad fatigue.
Engagement
Definition: The level of interaction or attention that the audience has with the ad, often measured by actions like QR code scans, taps on a touchscreen, or other measurable forms of interaction.
How it’s calculated: Engagement can be tracked using various tools like sensors, cameras, or interaction points (e.g., mobile apps or touch screens). For example, if 500 people scan a QR code from a digital display out of 50,000 impressions, the engagement rate would be 1% (500 ÷ 50,000).
DOOH can feature interactive elements like QR codes, touch screens, or mobile app integrations that invite viewers to engage with the content directly. This precise tracking gives a clear understanding of the ad’s ability to capture attention and drive meaningful engagement from the audience.
Definition: The percentage of individuals who take a desired action after viewing the ad, such as making a purchase, signing up for a service, or downloading an app.
How it’s calculated: Conversion rate is typically calculated by dividing the number of conversions (e.g., purchases or sign-ups) by the total number of interactions or impressions. For example, if 200 people make a purchase after seeing the ad out of 500,000 impressions, the conversion rate would be 0.4% (200 ÷ 50,000).
Today’s diverse data sources and analytics tools allow advertisers to precisely track post-exposure behaviors, accurately attribute conversions, and better assess campaign success.
Attribution strategies depend on campaign goals. For brand awareness, metrics like increased branded searches, social media followers, direct website traffic, or physical store visits can indicate success. For greater accuracy, device IDs can track actions: if someone searches for a brand shortly after passing a DOOH ad, that search can likely be attributed to the ad exposure.
Comparing sales before and after a campaign is a common method of determining DOOH campaign success
Leveraging pDOOH for successful campaign targeting
While impressions and conversion rates are key for assessing campaign success, programmatic DOOH offers advanced metrics that give deeper insights into audience behavior and real-time engagement. Here are some pDOOH-enabled metrics that elevate omnichannel campaign measurement:
Dynamic Creative Optimization (DCO) metrics
One key benefit of pDOOH is Dynamic Creative Optimization (DCO), which adjusts DOOH creatives in real-time based on factors like weather, time of day, audience profiles, or nearby events. DCO allows advertisers to customize ad elements (images, text, offers, CTAs) to match user preferences. For example, a QSR might display various menu items, adjusting in real-time based on demographics, browsing history, and environmental data such as location or weather.
Effective DCO requires ongoing measurement using metrics that track general DOOH performance (dwell time, impressions, interaction rate) and specific DCO impact. These metrics show how engagement or conversion rates change with factors like weather, local events, or foot traffic.
Key performance indicators for DCO in DOOH campaigns include:
Creative variants CTR: Measures interaction, like QR code responses, for different versions.
Engagement with creative elements: Tracks which elements resonate most (e.g., weather-based messaging).
Creative rotation effectiveness: Compares performance across different times or conditions.
Weather, time, and location relevance: Assesses engagement based on real-time factors.
Cross-channel conversion metrics
Advanced data analytics in pDOOH connect offline and online interactions, providing a complete view of the consumer journey. Using device ID matching and geo-fencing, advertisers track DOOH ad impact on website visits, app downloads, social media engagement, and store visits, measuring how exposure drives cross-channel actions.
Key metrics highlighting the cross-channel impact of DOOH include:
Walk-in rate: Measures the percentage of people who visit a location after seeing a DOOH ad, often tracked via mobile location data or GPS.
Online conversion rate: Calculates the percentage of website visitors who convert (e.g., sign up, purchase) after seeing a DOOH ad.
Cross-device conversions: Tracks conversions on other devices after DOOH exposure, using multi-device tracking.
Social media interaction rate: Measures increased social media activity (e.g., likes, shares, follows) from DOOH exposure, often tracked with geo-fencing.
Multi-touchpoint conversion attribution: Assigns conversion credit to DOOH within a larger multi-channel strategy, showing its role in cross-channel journeys.
