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To Life With Augmented Reality!

Training

Increase Skills and Efficiency. Reduce Accidents and Training Costs.

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Training and Simulation are the fastest growing industry of VR/AR.


Allowing users to "learn while doing" is not only more engaging than other forms of training, but users learn quicker and trainers can get much more accurate data on their training outcomes.


Use Cases: Digital Twins, AR Hotspots, Interactive Step-by-Step Guides, Simulations

eCommerce

Interactions with Products that Feature 3D AR Models Achieve 94% Higher Conversions


Shoppers are 10x more likely to purchase a product after visualizing it in AR and brands are seeing 3x more product engagement. 


Use Cases: "Try Before You Buy" Product Visualizations, Interactive Product Configurators, Virtual Stores

Training

Increase Skills and Efficiency. Reduce Accidents and Training Costs.


Training and Simulation are the fastest growing industry of VR/AR.


Allowing users to "learn while doing" is not only more engaging than other forms of training, but users learn quicker and trainers can get much more accurate data on their training outcomes.


Use Cases: Digital Twins, AR Hotspots, Interactive Step-by-Step Guides, Simulations

Training

Increase Skills and Efficiency. Reduce Accidents and Training Costs.

Get Started

Training and Simulation are the fastest growing industry of VR/AR.


Allowing users to "learn while doing" is not only more engaging than other forms of training, but users learn quicker and trainers can get much more accurate data on their training outcomes.


Use Cases: Digital Twins, AR Hotspots, Interactive Step-by-Step Guides, Simulations

Marketing

Go Viral and Generate Millions of Brand Impressions with User Generated Content


AR Experiences are user-generated content machines that can produce millions of viral fan videos and photos


Use Cases: Bring Print & Packaging to Life with AR, Branded Mini-Games, Social AR Filters, Virtual Events

If you can dream it, we can build it. Collaborate with BrandXR’s Pro Services Team today.

The BrandXR ProServices Team is made of 3D modelers, animators, business strategists, Unity, Unreal, and App developers with decades of experience.



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Apple, Microsoft, Google, NVIDIA, and META have invested billions in the Metaverse.

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Moody Mattan, CEO of BrandXR, presented "Welcome to the Metaverse" at TEDxDetroit 2021. Watch the talk to learn important Metaverse concepts and why brands are racing to join the Metaverse.

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AR Insights

Top 10 Mural Trends Shaping Public Art in 2025
By Moody Mattan April 3, 2025
In the evolving landscape of urban aesthetics, public murals continue to shift from simple decorative elements into powerful vehicles for storytelling, community engagement, and brand messaging. As we progress through 2025, the convergence of technology, sustainability, and social consciousness is transforming how we conceptualize, create, and engage with public art. Whether you are a muralist, a public art commissioner, an OOH advertising executive, or a marketing leader seeking innovative brand expression, grasping the current trends can help you maximize the impact of your next mural project. 1. Interactive and Immersive Augmented Reality Murals Perhaps the most exciting development in the mural space is the mainstream adoption of augmented reality (AR) integration. Static walls are now portals to dynamic digital experiences, creating multilayered storytelling opportunities that engage viewers on both physical and virtual planes. Augmented Reality (AR) murals are revolutionizing public engagement by allowing viewers to point their smartphones at a mural and witness its transformation—characters move, narratives unfold, and additional content emerges. This technology has evolved significantly in recent months, with advancements in spatial anchoring that ensure AR elements stay perfectly aligned with the physical artwork, regardless of viewing angle or distance. For brands and marketers, AR murals provide unprecedented metrics and engagement data, offering insights into how audiences interact with the artwork. Companies such as PepsiCo and Nike have leveraged this technology to create memorable campaigns that enhance the impact of their OOH investments while collecting valuable consumer interaction data. Key developments in this space include: Persistent AR experiences that multiple users can access simultaneously Geofenced content that changes based on time of day or special events Interactive elements that respond to viewer gestures or social media actions Integration with social platforms allowing for instant content sharing Payments built directly into AR experiences to easily one-click buy Viewing AR Murals through new AR glasses from Meta and Snapchat 2. Projection Mapping and Dynamic Murals While traditional painted murals remain predominant, projection mapping technology has developed to enable dynamic, changing murals that transform throughout the day or in response to various inputs. These "living walls" preserve the scale and public nature of murals while introducing temporal dimensions that static paintings cannot achieve. Recent advances in projection technology have made these installations more energy-efficient and visible even in daylight conditions. Sony and Epson have developed specialized projectors specifically for public art applications, enabling longer-term installations without excessive power consumption.  Noteworthy applications include: Seasonal narrative shifts that evolve throughout the year Weather-responsive projections that change based on local conditions Traffic or noise-responsive installations that reflect urban rhythms Scheduled transformations that create appointment viewing experiences These dynamic murals are particularly effective for areas with high repeat traffic, as they provide new experiences for regular viewers.
Advances in OOH Advertising Technology: A Chronological Review
By Moody Mattan April 2, 2025
Introduction Out-of-Home (OOH) advertising – encompassing billboards, transit signs, and digital displays – has experienced a remarkable technological evolution since the internet's emergence in the early 1990s. As consumers became increasingly connected online, the traditionally static OOH medium began incorporating digital capabilities to maintain its relevance and effectiveness. This research report, directed at OOH advertising executives and Fortune 1000 marketing leaders, chronicles key advancements in OOH technology in the U.S. (with global comparisons) over the past few decades. It emphasizes high-level trends and widely adopted technologies, including digital billboards, programmatic digital OOH (DOOH) buying, geolocation and mobile integrations, data-driven targeting, augmented/virtual reality (AR/VR) enhancements, improved measurement and attribution, and the growing role of artificial intelligence (AI). The objective is to illustrate how OOH advertising has evolved from static posters into a dynamic, data-driven channel, while providing insight into the industry's future direction headed. 1990s: Laying the Groundwork in a Connected World In the 1990s, the rise of the Internet did not immediately change the predominantly analog nature of out-of-home (OOH) advertising, but it laid the groundwork for future innovation. During this era, OOH advertising in the U.S. was still dominated by static billboards, posters, and transit signage. The decade witnessed ongoing investment in traditional formats (such as vinyl billboards replacing paper for enhanced durability) and iconic illuminated signs (like the neon-lit billboards in Times Square). While OOH remained a physical medium , the emerging digital revolution suggested new possibilities. Initial digital signage experiments began to appear in high-traffic areas—for instance, electronic displays in locations like Times Square and Las Vegas—but these were custom installations rather than widespread advertising networks. The OOH industry acknowledged the Internet’s potential to facilitate remote content control and data sharing , even though the technology was not yet prepared for mainstream use. By the late 1990s, companies were investigating how new digital display technologies (like LED screens) and internet connectivity could eventually be applied to billboards. These early endeavors set the stage for the digital out-of-home revolution that would unfold 2000s. Early 2000s: The Advent of Digital Billboards The early 2000s marked a pivotal turning point as digital billboards made their entrance, fundamentally transforming out-of-home (OOH) advertising. Breakthroughs in LED display technology and reduced electronics costs reached a tipping point around 2000, suddenly making large-format digital screens economically viable for outdoor use. In 2001, Lamar Advertising installed the industry’s first large digital billboard, a low-resolution LED display in Baton Rouge, Louisiana; this groundbreaking pilot demonstrated the concept’s potential. Over the next few years (2001–2004), major OOH companies trialed digital displays in select markets, refining the technology and demonstrating a return on investment. By 2004–2005, costs had decreased and reliability improved to the point that digital billboards entered a phase of rapid growth , with manufacturers shipping dozens of units per week to meet demand demand. These LED billboards offer several advantages over traditional static signs. They are bright, eye-catching, and visible even in daylight, allowing multiple ads to rotate in the same location and multiplying revenue opportunities for operators. For advertisers, digital screens provide flexibility that was previously unheard of in traditional out-of-home (OOH) advertising—content can be updated remotely in real-time, eliminating the costs and delays associated with replacing printed vinyl. By the late 2000s, major U.S. cities and highways were dotted with digital billboards, enabling advertisers to experiment with creative digital content, such as animated visuals or countdown clocks, to better engage passersby. This trend was mirrored globally in other markets, from the bright digital facades of Tokyo and London to the digital screens in emerging markets, although the U.S. remained a leading adopter. Consequently, OOH ad spending began to shift toward digital formats. (As a reference point, global OOH advertising revenue was approximately $30 billion in 2017 and continued to grow, with over 25 million digital OOH units deployed worldwide by 2018.) Today, in the U.S., roughly one-third of all OOH ad spending is on digital formats, reflecting how quickly digital billboards have become a cornerstone of the industry. Late 2000s: Networking, Geolocation and Mobile Integration As digital screens proliferated in the late 2000s, the focus shifted to connecting OOH with the mobile revolution . The introduction of smartphones (after 2007) and widespread mobile internet access created new opportunities to link outdoor ads with consumers’ devices. OOH operators began equipping digital signage with network connections and software to enable more sophisticated content control, scheduling, and targeting. By leveraging live data feeds, billboards could start to display contextually relevant messaging – for example, showing weather-specific ads (such as a coffee ad on a cold morning) or real-time information like news and sports scores. This period also saw OOH campaigns encouraging viewers to engage via their phones. Simple integrations emerged: SMS short codes on billboards to request more information, or the appearance of QR codes and social media handles on OOH posters. Such tactics bridged physical ads with digital engagement, foreshadowing deeper mobile integration to come. A major development was the use of geolocation and geofencing to enhance the impact of out-of-home (OOH) advertising. By leveraging the GPS capabilities of smartphones and location data, advertisers discovered they could retarget individuals exposed to OOH ads with follow-up advertisements on their mobile devices. In practice, this involved setting up virtual perimeters—known as "geofences"—around OOH units: when a user’s phone entered that area, it could trigger a relevant mobile ad or later determine if that user visited a store. By the end of the decade, early adopters were combining OOH and mobile campaigns to increase engagement. For instance, an outdoor billboard could be synchronized with in-app ads, ensuring that audiences received a coordinated message on their phones after viewing the billboard. This convergence of OOH and mobile advertising significantly improved measurability and targeting in what was previously an untrackable medium. Industry research indicated that mobile click-through rates rose substantially (with some studies reporting increases of 15% or more) when supported by OOH ads, thanks to these retargeting methods. Location data from carriers, apps, and sensors became “the secret sauce,” providing insights into audience movement and enabling OOH to approach one-to-one marketing. By 2010, the OOH industry was actively welcoming mobile integration, paving the way for the data-driven era of the 2010s. 2010s: The Rise of Programmatic and Data-Driven DOOH The 2010s represented a transformative decade for OOH advertising, as digital technology, data, and automation converged to establish a genuinely smart medium. By the early 2010s, a substantial number of digital billboards and place-based digital screens (located in malls, transit hubs, airports, etc.) were operational. This laid the foundation for programmatic Digital Out-of-Home (pDOOH) – the implementation of automated, data-driven ad buying for OOH inventory – similar to the changes already seen in online advertising. Around 2012, the first programmatic OOH platforms and exchanges were launched, allowing advertisers to buy digital billboard space via demand-side platforms (DSPs) and real-time bidding algorithms. Companies like Broadsign (in Canada) and Vistar Media (in the U.S.) led the way in connecting digital signage networks to programmatic buying systems. This development enabled marketers to log into a platform, set targeting parameters (location, time, audience demographics, budget), and automatically have their ads displayed on digital billboards across various operators. By the mid-2010s, programmatic DOOH gained traction, with major OOH networks making their inventory available for real-time, impression-based advertising buying. Crucially, data became the lifeblood of OOH campaigns during the 2010s. Advertisers began utilizing a wealth of data sources to target OOH ads more precisely and contextually. Location data, aggregated from mobile devices, enabled brands to choose billboard locations based on the movements and demographics of the audience passing by. Advertisers could also schedule content according to factors like the time of day, the day of the week, or even weather and traffic conditions. For example, a fast-food chain could display coffee ads on digital screens during the morning rush and switch to dinner promotions by late afternoon, or a retailer could trigger ads for raincoats on a billboard when meteorological data indicates rain in that area. This data-driven flexibility introduced a level of targeting and timeliness to OOH that was previously unattainable. One industry report referred to this period as a “data-driven revolution,” highlighting that programmatic ad platforms enabled OOH campaigns to target audiences with precision based on location, time, and weather, just as easily as online ads Another significant advancement was in measurement and attribution . Historically, out-of-home (OOH) advertising was challenging to measure; advertisers relied on traffic counts or surveys to estimate impressions. During the 2010s, new tools emerged to quantify and link OOH audience exposure to outcomes. Mobile location data played a crucial role: if a user’s device was detected (anonymously) within view of a billboard and later appeared inside an advertiser’s store, that movement could be attributed to OOH influence. Specialized firms began offering OOH attribution services that tracked increases in store visitation or website visits among those exposed to an outdoor ad. Simultaneously, computer vision technologies made progress—some digital displays were equipped with sensors or cameras to count passersby or even estimate their demographics (gender, age range) by anonymously analyzing imagery. These camera-equipped “smart billboards” could then adjust content to suit the observed audience (e.g., displaying an eyewear ad if many viewers wore glasses) and provide detailed analytics on how many people looked at the screen. Thanks to these data and sensor innovations, by the end of the 2010s, OOH campaigns could deliver advertisers far more granular reports, including impressions, dwell time, and engagement metrics. As a result, OOH joined the omni-channel, ROI-driven digital ecosystem— a significant departure from the one-size-fits-all posters of the past. From a business perspective, these capabilities fueled considerable growth in the DOOH sector. Advertisers invested more budget into OOH, knowing they could target and measure it like their digital ads. Programmatic buying also reduced the barriers to entry, attracting a broader range of advertisers, including small brands, to purchase billboard space in flexible, short-term increments. By 2019, analysts projected programmatic OOH would evolve into a billion-dollar segment, and overall OOH spending was on a steady upswing. Notably, global data indicated that both traditional and digital OOH were expanding, but digital was growing at a faster pace; by the mid-2020s, DOOH accounted for roughly 40% of global OOH revenue. In the U.S., the digital OOH revenue share reached about 30% of total OOH spending by 2023 , recovering from a brief pandemic dip. The 2010s firmly established that the future of OOH would be digital, data-driven, and integrated with the same programmatic infrastructure as online advertising media.
By Moody Mattan April 1, 2025
Executive Summary Augmented Reality (AR) “smart mirrors” are emerging as transformative tools in beauty retail, allowing customers to virtually try on makeup in-store with lifelike realism. Leading beauty retailers and brands—including Sephora, L’Oréal, and Estée Lauder—have launched and expanded AR mirrors to enhance the in-store experience, resulting in significant increases in sales conversion, basket size, and customer engagement. In-store AR mirrors address key issues, such as hygiene concerns, limited trial time, and choice overload, by enabling touchless, rapid try-ons of multiple products. The results are notable: Sephora’s AR mirror trials led to an estimated 31% increase in sales , and AR try-on users demonstrate conversion rates up to 90% higher than those who do not engage. Estée Lauder reports that AR experiences yield 2.5 times higher conversion for lipstick purchases, and Clinique’s AI-driven AR mirror increased basket size by 30% while extending dwell time five-fold . Major U.S. beauty chains are adopting AR mirrors as a strategic tool to drive in-store sales and customer loyalty , with international retailers (e.g., Watsons in Asia) experiencing double-digit sales growth after implementing AR mirror experiences. This executive case study examines the business case for in-store AR mirrors, the technology and ecosystem (key providers and partners), and detailed case studies of Sephora, L’Oréal, and Estée Lauder implementations. It also presents key ROI metrics and practical considerations for retail leaders looking to adopt AR mirrors. The evidence indicates AR mirrors are evolving from novelty to an essential part of an omnichannel beauty strategy , merging the convenience of digital try-ons with the tangible services of physical retail to enhance both customer satisfaction and profitability. The Business Case for AR Mirrors For beauty retailers, the in-store AR mirror offers an innovative solution to a longstanding challenge: how to enable customers to confidently try and buy cosmetics with minimal friction. Traditional in-store sampling has limitations — applying and removing multiple products is time-consuming and raises hygiene concerns. AR mirrors address this issue by allowing shoppers to “try on” numerous shades virtually in seconds , without ever touching their face. This establishes a safe and sanitary try-on process , a priority heightened by the pandemic. When testers were removed from many stores in 2020, AR mirrors and virtual try-on tools became essential alternatives, significantly accelerating the adoption of the technology. From a business perspective, AR mirrors drive sales by enhancing customer confidence and encouraging exploration. By visibly “wearing” a new lip color or eyeshadow through AR, customers can discover products they might not have previously considered — effectively expanding their basket . Sephora found that AR experiences foster impulse purchases: its virtual mirror convinced shoppers to buy items they hadn’t initially planned on. The interactive and enjoyable nature of AR also keeps shoppers in the store longer, which generally correlates with higher spending. Industry reports indicate that immersive technology like AR can significantly increase dwell time in retail. In one instance, a beauty AR experience resulted in an average in-store dwell time of over 4 minutes , far exceeding typical engagements. Longer engagement provides more opportunities for associates to upsell and for customers to add items to their cart baskets. Critically, AR mirrors address the “try-before-you-buy” expectation of modern consumers. Over 50% of consumers desire augmented shopping experiences to assist in product selection. By meeting this demand, retailers boost sales in the short term and cultivate brand loyalty. Shoppers view the brand as innovative and customer-centric. The novelty factor of AR mirrors — essentially a magic mirror that instantly showcases new looks — also creates buzz and foot traffic. Executives observe that these tech-driven experiences result in memorable store visits that attract shoppers, despite the convenience of online options. From a financial ROI perspective, multiple data points highlight the business case. Shopify reported that products featuring AR content experienced a 94% higher conversion rate than those without. Perfect Corp (a leading AR provider) commissioned a study revealing that AR try-on use made shoppers 1.6× more likely to purchase and to spend 2.7× more on cosmetics . In other words, AR-driven trials lead to higher conversion rates and increased average order values. These gains can directly enhance same-store sales. Beauty giant L’Oréal estimates that augmented reality and AI initiatives contributed to its e-commerce and in-store sales growth (52% e-commerce growth in 2019) by facilitating more personalized, confident purchases at scale. In summary, AR mirrors align with core retail KPIs: increasing conversion, basket size, dwell time, and customer satisfaction, all of which ultimately drive revenue and profitability. Technology Overview AR mirrors combine augmented reality software, cameras, and display screens in a fixture resembling a vanity mirror or digital kiosk. At the core is real-time facial tracking and rendering technology: a camera captures the customer’s face, and AR software overlays ultra-realistic 3D images of makeup (lipstick, eyeshadow, foundation, etc.) onto the live video feed. Unlike simple 2D photo filters, advanced AR mirrors utilize 3D facial geometry and AI to simulate how products appear from different angles and under various lighting. For example, ModiFace, a pioneer in beauty AR, calibrates its rendering by analyzing how makeup looks on models of different skin tones and lighting conditions, yielding a highly lifelike result. The goal is a virtual application that is nearly indistinguishable from real makeup application. Early augmented reality (AR) mirrors were essentially large screens or tablets that ran AR try-on software. Sephora’s first installations between 2014 and 2016 featured 3D AR mirrors co-developed with ModiFace, which included a camera and screen housed in a vanity-like frame. Today’s implementations vary from full-length smart mirrors to iPad-based kiosks found at beauty counters. For example, the AR mirror launched by MAC Cosmetics in 2017 is a freestanding screen that maps the user’s face 30 times per second, realistically overlaying 30 different eye makeup looks. Other setups, such as Charlotte Tilbury’s “Magic Mirror,” utilize a mirror-shaped display with built-in lighting, evoking the ambiance of a glamorous vanity Crucially, the tech has evolved to require no learning curve from shoppers: no app download or menu navigation is needed . Users simply stand in front of the mirror and see themselves with virtual makeup; the interface often lets them change shades with a simple gesture or tap, or even automatically recommends a look. Keeping the experience seamless is key to encouraging engagement, as noted by AR developers who avoid complex UIs to make mirrors universally inviting . Behind the scenes, AR providers and tech partners create an ecosystem that enables these mirror experiences. In the beauty industry, several specialists stand out (see Table 1). ModiFace , acquired by L’Oréal in 2018, supplies AR and AI technology for makeup try-ons across many of L’Oréal’s 36 brands and has previously collaborated with Sephora and others. Perfect Corp. , the maker of the YouCam Makeup app, offers a turnkey AR mirror solution used by retailers such as Ulta and Watsons; it features patented AgileFace® tracking for high accuracy. Agencies like Holition develop custom AR mirror experiences for luxury brands (e.g., Charlotte Tilbury) with tailored hardware and content. Newer startups (e.g., BrandXR ) concentrate on pop-up AR installations for brands (as seen with Valentino Beauty and Makeup by Mario mirrors). These providers offer features ranging from virtual product try-ons to shade finders and integrated purchase functions (scanning a QR code from the mirror to add the product to the cart). Table 1 compares some leading AR mirror solutions and their notable brand deployments: Table 1. Leading In-Store AR Mirror Solution Providers and Deployments
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  • What is BrandXR?

    BrandXR Studio No Code Augmented Reality Creation Platform

    BrandXR is a no-code augmented reality platform and award-winning XR studio that allows brands to quickly create, publish, and measure immersive 3D AR experiences without writing a single line of code​​​.


    Our Professional Services Team has decades of experience building Augmented and Virtual Reality Experiences and Games. 


    We're official XR partners of Meta, Snap, TikTok, and Unity. 


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    Using Augmented Reality powered by BrandXR significantly boosts conversions and engagement. In eCommerce, for example, AR experiences can lead to 11x better conversions and 3x more engagement than traditional websites. Shoppers are 44% more likely to add a product to their cart after viewing it in AR​​. BrandXR also helps businesses generate viral content and collect rich customer data through user engagement metrics​.

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