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Big Data and Location Analytics 
Euclid Analytics | Will Smith | CEO 
© 2014 Euclid – Proprietary and Confidential
Harnessing Big Data for Retail - Agenda 
1. More Data Is Being Generated by Consumers 
2. The Challenge is Transforming Big Data into Actionable 
© 2014 Euclid – Proprietary and Confidential 
Insight 
3. Big Data in Your Locations Can Be Made Simple 
4. To Drive Your Customer Experience and Store Performance 
5. And Make Smart Predictions and Decisions for the Future 
2
The Big Data Explosion 
2/3 of the U.S. market owns smartphones (56% growth in 2 years) 
© 2014 Euclid – Proprietary and Confidential 
3 
41.8% 45.0% 46.5% 
50.5% 54.0% 57.0% 58.5% 61.5% 65.2% 
80.0% 
60.0% 
40.0% 
20.0% 
Q4 2011 Q1 2012 Q2 2012 Q3 2012 Q4 2012 Q1 2013 Q2 2013 Q3 2013 Q4 2013 
Smartphone Penetration (Last Two Years by Quarter) 
91% Share of retail sales that are offline 
Expected increase in mobile data traffic 
from 2013 to 2018 (15.9 exabytes/month) 11x 
Growth of global public Wi-Fi hotspots 
from 2011 to 2015 (to 5.8 million) 350% 
46.2% Share of Wi-Fi of all global IP traffic in 
2015 (5x increase from 2011)
Location Analytics 
Harnessing Data Generated in Physical Locations 
© 2014 Euclid – Proprietary and Confidential 
4 
Data Science 
& Analytics 
Sensors 
(Hardware Partners) 
Actionable 
Insights & 
Reporting 
Shoppers 
(Smartphones)
Leading Data Science & Location Analytics 
The Company 
 Founded in 2010 
 San Francisco HQ with global reach 
 $25mm in Tier 1 venture funding 
 First to invent Wi-Fi retail analytics 
 Patented analytics technology 
The Team 
 CEO’s family built the first 
Backed by leading investors Benchmark and NEA 
Market leadership recognized by 
© 2014 Euclid – Proprietary and Confidential 
shopping centers 
 Co-founder started Google 
Analytics (Urchin) 
 Executives from Ariba, Cisco, 
Reputation, and Tibco
Status Quo Today 
Activity In-Store and Around Your Locations 
How am I attracting customers to stores? 
What’s happening in stores? 
Am I bringing shoppers back? 
© 2014 Euclid – Proprietary and Confidential 
6 
Physical Stores Have 
Traffic 
? 
Sales 
Video Counters 
Precise traffic counts 
POS Systems 
Sales, Transactions, ADS
Online Analytics for the Offline World 
E-Commerce Physical Stores 
Unique visitors 
Click-through rate 
“We’re starved for actionable, real-world shopper behavioral data.” 
CFO, nationwide apparel retailer 
© 2014 Euclid – Proprietary and Confidential 
Engagement 
Repeat visits 
Purchase 
Attraction 
Engagement 
Retention 
Purchase 
7
Monitor and Manage Your Locations 
© 2014 Euclid – Proprietary and Confidential 
Visitor Metrics 
Outside Opportunity 
Walk-by 
Visitors 
Storefront Conversion 
Duration 
Engagement Rate 
Bounce Rate 
New Visitors 
Repeat Visitors 
Attraction 
Engagement 
Retention 
Purchas 
e 
8
Make Getting Started Simple 
Start for free with Euclid Express 
© 2014 Euclid – Proprietary and Confidential 
9 
Easy Activation – No Hardware, No Dedicated In-Store Installation 
Essential Visitor Metrics 
Customizable Dashboards 
Compare Locations 
Custom Reports
Grow Your Location Intelligence 
 Integrate your location 
analytics into one 
cohesive data platform 
 Euclid provides data 
expertise, big data 
processing, and 
integrated reporting to 
simplify location data 
management 
© 2014 Euclid – Proprietary and Confidential 
10
Address Core Business Needs 
Marketing Operations Executive 
© 2014 Euclid – Proprietary and Confidential 
Campaign 
effectiveness 
Customer loyalty 
Store & regional 
performance 
Zoning & staffing 
Benchmarking 
Real estate 
planning 
Assess how well you attract, engage, and retain customers 
11
What You Need Analytics to Do For You 
© 2014 Euclid – Proprietary and Confidential 
© 2014 Euclid – Proprietary and Confidential
Find Performance Trends Quickly 
© 2014 Euclid – Proprietary and Confidential 
13 
 Compare 
locations 
 Choose any 
metrics 
 Assess 
chainwide 
and regional 
performance
Invest Intelligently in Your Locations 
Identify leaders and laggards 
© 2014 Euclid – Proprietary and Confidential 
and where to invest 
14
Know What’s Happening At All Times 
© 2014 Euclid – Proprietary and Confidential 
15
Produce Fast Reporting for All Groups 
© 2014 Euclid – Proprietary and Confidential 
16
Manage and Design Experience 
© 2014 Euclid – Proprietary and Confidential 
17
Tapping Massive Data Scale 
Over 10 billion events daily 
Over 300 million shopping sessions yearly 
Over 200 million shoppers detected (unique devices) 
Thousands of APs activated 
Hundreds of customers 
Dozens of countries globally 
Industry benchmarks and predictive forecasting 
© 2014 Euclid – Proprietary and Confidential 
18
© 2014 Euclid – Proprietary and Confidential 
Thank You! 
Will Smith, Founder and CEO 
will@euclid.com 
www.euclidanalytics.com | sales@euclid.com | 415-445-4570
© 2014 Euclid – Proprietary and Confidential 
© 2014 Euclid – Proprietary and Confidential

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Big Data and Location Analytics will Change Brick & Mortar Retail Forever

  • 1. Big Data and Location Analytics Euclid Analytics | Will Smith | CEO © 2014 Euclid – Proprietary and Confidential
  • 2. Harnessing Big Data for Retail - Agenda 1. More Data Is Being Generated by Consumers 2. The Challenge is Transforming Big Data into Actionable © 2014 Euclid – Proprietary and Confidential Insight 3. Big Data in Your Locations Can Be Made Simple 4. To Drive Your Customer Experience and Store Performance 5. And Make Smart Predictions and Decisions for the Future 2
  • 3. The Big Data Explosion 2/3 of the U.S. market owns smartphones (56% growth in 2 years) © 2014 Euclid – Proprietary and Confidential 3 41.8% 45.0% 46.5% 50.5% 54.0% 57.0% 58.5% 61.5% 65.2% 80.0% 60.0% 40.0% 20.0% Q4 2011 Q1 2012 Q2 2012 Q3 2012 Q4 2012 Q1 2013 Q2 2013 Q3 2013 Q4 2013 Smartphone Penetration (Last Two Years by Quarter) 91% Share of retail sales that are offline Expected increase in mobile data traffic from 2013 to 2018 (15.9 exabytes/month) 11x Growth of global public Wi-Fi hotspots from 2011 to 2015 (to 5.8 million) 350% 46.2% Share of Wi-Fi of all global IP traffic in 2015 (5x increase from 2011)
  • 4. Location Analytics Harnessing Data Generated in Physical Locations © 2014 Euclid – Proprietary and Confidential 4 Data Science & Analytics Sensors (Hardware Partners) Actionable Insights & Reporting Shoppers (Smartphones)
  • 5. Leading Data Science & Location Analytics The Company  Founded in 2010  San Francisco HQ with global reach  $25mm in Tier 1 venture funding  First to invent Wi-Fi retail analytics  Patented analytics technology The Team  CEO’s family built the first Backed by leading investors Benchmark and NEA Market leadership recognized by © 2014 Euclid – Proprietary and Confidential shopping centers  Co-founder started Google Analytics (Urchin)  Executives from Ariba, Cisco, Reputation, and Tibco
  • 6. Status Quo Today Activity In-Store and Around Your Locations How am I attracting customers to stores? What’s happening in stores? Am I bringing shoppers back? © 2014 Euclid – Proprietary and Confidential 6 Physical Stores Have Traffic ? Sales Video Counters Precise traffic counts POS Systems Sales, Transactions, ADS
  • 7. Online Analytics for the Offline World E-Commerce Physical Stores Unique visitors Click-through rate “We’re starved for actionable, real-world shopper behavioral data.” CFO, nationwide apparel retailer © 2014 Euclid – Proprietary and Confidential Engagement Repeat visits Purchase Attraction Engagement Retention Purchase 7
  • 8. Monitor and Manage Your Locations © 2014 Euclid – Proprietary and Confidential Visitor Metrics Outside Opportunity Walk-by Visitors Storefront Conversion Duration Engagement Rate Bounce Rate New Visitors Repeat Visitors Attraction Engagement Retention Purchas e 8
  • 9. Make Getting Started Simple Start for free with Euclid Express © 2014 Euclid – Proprietary and Confidential 9 Easy Activation – No Hardware, No Dedicated In-Store Installation Essential Visitor Metrics Customizable Dashboards Compare Locations Custom Reports
  • 10. Grow Your Location Intelligence  Integrate your location analytics into one cohesive data platform  Euclid provides data expertise, big data processing, and integrated reporting to simplify location data management © 2014 Euclid – Proprietary and Confidential 10
  • 11. Address Core Business Needs Marketing Operations Executive © 2014 Euclid – Proprietary and Confidential Campaign effectiveness Customer loyalty Store & regional performance Zoning & staffing Benchmarking Real estate planning Assess how well you attract, engage, and retain customers 11
  • 12. What You Need Analytics to Do For You © 2014 Euclid – Proprietary and Confidential © 2014 Euclid – Proprietary and Confidential
  • 13. Find Performance Trends Quickly © 2014 Euclid – Proprietary and Confidential 13  Compare locations  Choose any metrics  Assess chainwide and regional performance
  • 14. Invest Intelligently in Your Locations Identify leaders and laggards © 2014 Euclid – Proprietary and Confidential and where to invest 14
  • 15. Know What’s Happening At All Times © 2014 Euclid – Proprietary and Confidential 15
  • 16. Produce Fast Reporting for All Groups © 2014 Euclid – Proprietary and Confidential 16
  • 17. Manage and Design Experience © 2014 Euclid – Proprietary and Confidential 17
  • 18. Tapping Massive Data Scale Over 10 billion events daily Over 300 million shopping sessions yearly Over 200 million shoppers detected (unique devices) Thousands of APs activated Hundreds of customers Dozens of countries globally Industry benchmarks and predictive forecasting © 2014 Euclid – Proprietary and Confidential 18
  • 19. © 2014 Euclid – Proprietary and Confidential Thank You! Will Smith, Founder and CEO will@euclid.com www.euclidanalytics.com | sales@euclid.com | 415-445-4570
  • 20. © 2014 Euclid – Proprietary and Confidential © 2014 Euclid – Proprietary and Confidential

Editor's Notes

  1. http://www.cisco.com/c/en/us/solutions/collateral/service-provider/ip-ngn-ip-next-generation-network/white_paper_c11-481360.html Forrester U.S. Census Bureau http://www.informa.com/Media-centre/Press-releases--news/Latest-News/Wifi-hotspots-set-to-more-than-triple-by-2015/ http://gigaom.com/2011/06/01/cisco-wifi-vni-report/
  2. Everyday we generate 2.5 quintillion bytes of data – that’s four Google’s a day Physical locations are where the next wave of big data applications are coming More than 90% of retail is still done in physical spaces Yet, the physical world poses a huge challenge. Volumes of impressions and data points how do you make sense of the noise? Here’s how Euclid helps