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Real Life Analytics
- 2. 22 million digital screens worldwide 300,000+ in the UK alone +6 Million new screens this year 26% Growth Rate Retail analytics - $3.2 Billion (USD) Growth: 18.6% Content Management Software - $456 Million Growth : 13.3% Market Size Global Intel digital signage report - All number are for 2017 - All growth is CARG
- 3. • Digital screen content management systems (CMS) are inefficient & have no way to adapt content to the viewer - meaning the wrong message is often delivered to the wrong customer. • CMS systems are expensive and time consuming to install • 75% want to identify when customers walk into their store but don’t know how. Problem Owners of digital signage screens face significant problems: Boston Retail Consulting report - All number are for 2017 - All growth is CARG
- 4. Real Life Analytics enables targeted advertising on any digital screen in real time Using plug and play hardware that determine the age, gender & engagement of the viewer and provide insight into customer demographics & behaviour Our Solution
- 5. Plug & Play Hardware The smartest way to power your digital displays Connect the RLA little black box to any display and start targeting images, video, social media content and much more, using powerful facial detection technology
- 6. Plug and Play Install Super easy to install, just plug and play. HDMI Ethernet or Wifi connection Standard power USB cameraHDMI
- 7. Select Detect Display Analyse Upload artwork (static, dynamic or video), select target audience, location and even time of day Detect the demographic information of the person/people in front of the screen Display content (ad, product or social media) that is targeted and relevant to the person/people currently in front of that display Analyse the effectiveness of the content as well as the demographic profiles of the customers’ gender, age and much more How It Works
- 8. The Benefits Targeted advertising is 2.7x more effective than random adverts Increase sales Monetise screens £ Increased Customer engagement & satisfaction
- 9. Amazing insight Age, gender & engagement analytics Including: Number of viewers, Dwell Time, Attention time & Opportunity to see (OTS)
- 10. No privacy concerns, as only aggregated statistics are collected, no images are saved & all processing is done locally on the device.
- 11. Neural Trimming Technology 20ms Video Input Real Time Accuracy • Our software mimics the human brains temporal and optical lobes. • Can be taught to look for specific objects, not just facial features. • Localized processing, no server or data transmission needed. Our Competitive Advantage Secret Sauce
- 12. • Distance: Up to 10m (33 feet) away • Multi-person Detection: Up to 7 people • Speed: 20 Milliseconds • Accuracy: 75 -85% Our Competitive Advantage
- 13. Retail Analytics Targeted Real Time Content Content Management System iBeacons Competitive Landscape That’s us
- 14. How We Stack Up Detailed competitor analysis Demographic Targeting Customers captured Real Time? Analytics Content Management 100% N/A 100% N/A N/A 100% <10% N/A iBeacons
- 15. Tech Roadmap New features coming soon • API for multiple CMS integration (Q1 2016) • API for web integration (Q1 2016) • In-Store Inventory Integration (Q1 2016) • Emotion Detection (2016) • Clothing detection (Q2 2016) • Facial hair (Q1 2016) • Glasses (Q1 2016) • Dress Size (build) (2016) • Link advertisements to weather (Q1 2016) • Identify what car a customer is driving (Petrol station & car parks) • Brand • Make • Model
- 16. Team Introducing the Dream Team Adam Carrigan Co-Founder & CEO Education: University of Cambridge Experience: Deloitte – Consulting Judge Business School - Research Jorge Torres Co-Founder & CTO Education: Australian National University – Computer Science Experience: Couch Surfing SKILLSHARE Mauricio Pacheco Full Stack Engineer Education: Pontifical Bolivarian University – Electronics engineering Experience: Allfreed – Developer Big Holidings – Front End Developer
- 17. Advisors Introducing the Dream Team 2.0 Richard Fearn Director – Friday Club & Tech Investor uk.linkedin.com/in/rfearn Francis Goodenday VP – Tetra Pak uk.linkedin.com/in/goodenday Ralph Kugler Board Director – Unilever, IHG, former global president Unilever uk.linkedin.com/pub/ralph- kugler/5/b1b/2b1 Rahul Gautam Retail, Media & Entertainment Partner EY uk.linkedin.com/in/rsgautam Sam Sahana CIO/CTO - Consumer, Leisure, Retail and Digital linkedin.com/in/samsahana
- 18. Real Life Analytics We collect data nobody else can using intelligent computer vision Real Life Analytics is changing the way brands and retailers interact with their customers in-store, collecting customer data and analytics where none existed before. We do this through intelligent computer vision technology. Retailers can now collect demographic data - age, gender and engagement - from customers by simply walking in front of our cameras, without opting into any program or requiring a purchase. Our app can be installed on digital screens or tablets with cameras allowing demographically targeted ads, flash sales or customer specific promotions to appear instantly on screens. Brick and mortar locations can now move away from the current static advertisements and instead target content to their customers in-store. The data collected can be accessed easily via an online dashboard, improving the speed and understanding of customers. This creates real time data, which has never existed before, so retailers can interact with their customers in-store the same way they do online. www.RealLifeAnalytics.com @RLAnalytics adam@reallifeanalytics.com