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How to Leverage Location Data to Revolutionize Customer Engagement

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Skyhook
Skyhook

Skyhook provides location data and insights to help companies leverage their first-party data. With over 14 years of experience and 450 patents, Skyhook uses Wi-Fi, cell signals, and IP addresses to accurately locate devices both indoors and outdoors. Skyhook's global location network processes over 400 billion location transactions annually. They provide competitive insights, targeted marketing, customer analytics, and other services by analyzing users' location data and comparing them to their database of over 20 million venues and user profiles.

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Driving Performance Through Intelligent Location Data ¡°Companies will lose a great advantage if they do not leverage their first-party data in an integrated way.¡±
?2017 Skyhook ? Proprietary and Confidential2 14 years of experience + 450 patents. Use of real signal data to position devices, trigger actions and build context. GLOBAL LOCATION NETWORK 20 Million + Actionable Venues (U.S. only) 175 Million + Geolocated Cell Towers 3 Billion + Geolocated Wi-Fi Networks 400 Billion+ Location Transactions Processed Annually Geolocated IP Addresses 1 Billion ++ IP Established in 2003. Hybrid positioning using A-GNSS, Wi-Fi, Cell IDs and IP Addresses. Accurate location in all environments ¨C indoors, outdoors, urban, suburban and rural.
?2017 Skyhook ? Proprietary and Confidential3 How can Geospatial Insights help you? Competitive Insights Market Research Targeted Marketing Measurement and Attribution Event Analytics Customer Insights VERIFIED VENUE VISITS
?2017 Skyhook ? Proprietary and Confidential4 Segments Index Restaurant Diner 51% Family Shopper 48% Apparel Shopper 51% QSR Diner 53% Casual Diner 52% Fitness Enthusiast 47% Auto Owner 47% Budget Shopper 40% Auto Shopper 43% Pet Owners 43% Behavioral Insights Skyhook utilizes its database of 20 million actionable and highly curated venues and its proprietary data cleansing techniques to match users¡¯ locations to venues. This process provides numerous insights into your customers¡¯ behaviors. 0% 10% 20% 30% 40% 50% 60% 70% 80% Brand Index
?2017 Skyhook ? Proprietary and Confidential5 Persona Name Index High Income 7.5% Graduate Degrees 7.0% College Educated 8.0% No Children 0.1% Young Adults 0.8% Low Income -5.6% Associates Degree -3.5% Senior Citizens -3.9% Lower Middle Income -4.6% Early Middle Age 0.5% Upper Middle Income -0.6% Middle Income -1.3% Late Middle Age -0.1% Families with Children -0.6% No College -0.7% Demographics Insights Homing algorithms can identify the census block group that your customers reside in, identify their demographic attributes, providing a more complete picture of who they are and how they compare to the rest of the population. 0% 5% 10% 15% 20% 25% 30% 35% Brand Index
?2017 Skyhook ? Proprietary and Confidential6 Where do your customers live? Using proprietary homing algorithms, we can show unique insights into which states, countries, or census block group your customers reside in
?2017 Skyhook ? Proprietary and Confidential7 Brand Loyalty Analysis QSR Total Visits Unique Visitors Return Visitors Return Rate McDonald's 3,639,993 935,887 642,397 69% Subway 3,229,037 934,067 617,639 66% Burger King 847,998 422,104 173,535 41% Wendy's 894,576 423,127 186,273 44% Taco Bell 919,400 420,767 192,233 46% Pizza Hut 674,603 347,657 132,762 38% Domino's Pizza 629,006 324,887 121,028 37% KFC 480,670 276,454 92,969 34% Panera Bread 532,843 281,818 101,654 36% Panda Express 591,590 298,777 119,334 40% Chick-fil-A 815,717 336,176 162,544 48% Dairy Queen 434,416 245,169 84,128 34% Five Guys 361,975 213,486 63,499 30% Popeye's 500,003 247,153 97,187 39% Show the loyalty of the typical customer for a particular brand or brands. The data shows how many unique visits to a venue occur and how many of those visitors return.
?2017 Skyhook ? Proprietary and Confidential8 Determine how many users are loyal to one chain over another, and how many users frequent other competitors¡¯ locations. This type of analysis allow brands to target specific users with specific messaging to increase foot traffic to their stores. Brand Loyalty Analysis 48% 12.3% 8.1% 1.7% 8.9% 8.7% 12.4%
?2017 Skyhook ? Proprietary and Confidential9 Foot Traffic Analysis Foot traffic analysis is easy to visualize. Allowing you to see the best times to send your message or the best locations to expand your footprint.
?2017 Skyhook ? Proprietary and Confidential10 Event Analysis Gain deeper understanding of consumers at events. Learn when they attend and how the crowd travels. Identify where they visited before, during, and after the event. 2017 Women¡¯s March Black Friday 2017 Foot Traffic
?2017 Skyhook ? Proprietary and Confidential11 Automated Store Monitoring Skyhook¡¯s patented VenueLock technology uncovers previously undocumented Amazon locations and infrastructure. Skyhook Amazon Signal Detection Amazon Notifies Customers of New Pickup Location Skyhook identifies signal for new Chicago Pickup locations How it works 1. Existing known Amazon locations seed the Skyhook venue database 2. Skyhook identifies signal from the these facilities. 3. Skyhook finds unpublished Amazon locations based on signal patterns. 4. New venues are automatically labeled as categorized based on pattern recognition. 9/21/17 10/12/17
?2017 Skyhook ? Proprietary and Confidential12 Attribution Reports help illuminate ROI based on measuring the impact of foot traffic from an advertisement. We compare exposed users to a control group that has similar characteristics. WHOL E F OOD S SHO P P ER S Exposed Users are the number of devices that were served Whole Foods ads. Engaged Users are Exposed Users that visited a Whole Foods within the last 30 days. The Index is based on the comparison of Exposed Users to a Control group. 457,984 89,165 8.5%E X P O S E D U S E R S E N G A G E D U S E R S V S I N D E X Attribution: Measuring the Results
This presentation contains confidential information intended only for the recipient(s) named above. Any other distribution, re-transmission, copying or disclosure of this message is strictly prohibited. If you have received this transmission in error, please notify me immediately by telephone or return email, and delete this presentation from your system. Location and Mobile Created for Skyhook Created by Jay Graves
14 Thanks We are passionate about the mobile apps we work on and are eager to work on projects that make a difference. Sample of our mobile app clients
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How to Leverage Location Data to Revolutionize Customer Engagement
How to Leverage Location Data to Revolutionize Customer Engagement
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?2017 Skyhook ? Proprietary and Confidential19
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How to Leverage Location Data to Revolutionize Customer Engagement
22 THANK YOU | CONTACT INFORMATION Jay Graves CTO, POSSIBLE MOBILE DENVER, CO jay.graves@possible.com 303.947.0446

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How to Leverage Location Data to Revolutionize Customer Engagement

  • 1. Driving Performance Through Intelligent Location Data ¡°Companies will lose a great advantage if they do not leverage their first-party data in an integrated way.¡±
  • 2. ?2017 Skyhook ? Proprietary and Confidential2 14 years of experience + 450 patents. Use of real signal data to position devices, trigger actions and build context. GLOBAL LOCATION NETWORK 20 Million + Actionable Venues (U.S. only) 175 Million + Geolocated Cell Towers 3 Billion + Geolocated Wi-Fi Networks 400 Billion+ Location Transactions Processed Annually Geolocated IP Addresses 1 Billion ++ IP Established in 2003. Hybrid positioning using A-GNSS, Wi-Fi, Cell IDs and IP Addresses. Accurate location in all environments ¨C indoors, outdoors, urban, suburban and rural.
  • 3. ?2017 Skyhook ? Proprietary and Confidential3 How can Geospatial Insights help you? Competitive Insights Market Research Targeted Marketing Measurement and Attribution Event Analytics Customer Insights VERIFIED VENUE VISITS
  • 4. ?2017 Skyhook ? Proprietary and Confidential4 Segments Index Restaurant Diner 51% Family Shopper 48% Apparel Shopper 51% QSR Diner 53% Casual Diner 52% Fitness Enthusiast 47% Auto Owner 47% Budget Shopper 40% Auto Shopper 43% Pet Owners 43% Behavioral Insights Skyhook utilizes its database of 20 million actionable and highly curated venues and its proprietary data cleansing techniques to match users¡¯ locations to venues. This process provides numerous insights into your customers¡¯ behaviors. 0% 10% 20% 30% 40% 50% 60% 70% 80% Brand Index
  • 5. ?2017 Skyhook ? Proprietary and Confidential5 Persona Name Index High Income 7.5% Graduate Degrees 7.0% College Educated 8.0% No Children 0.1% Young Adults 0.8% Low Income -5.6% Associates Degree -3.5% Senior Citizens -3.9% Lower Middle Income -4.6% Early Middle Age 0.5% Upper Middle Income -0.6% Middle Income -1.3% Late Middle Age -0.1% Families with Children -0.6% No College -0.7% Demographics Insights Homing algorithms can identify the census block group that your customers reside in, identify their demographic attributes, providing a more complete picture of who they are and how they compare to the rest of the population. 0% 5% 10% 15% 20% 25% 30% 35% Brand Index
  • 6. ?2017 Skyhook ? Proprietary and Confidential6 Where do your customers live? Using proprietary homing algorithms, we can show unique insights into which states, countries, or census block group your customers reside in
  • 7. ?2017 Skyhook ? Proprietary and Confidential7 Brand Loyalty Analysis QSR Total Visits Unique Visitors Return Visitors Return Rate McDonald's 3,639,993 935,887 642,397 69% Subway 3,229,037 934,067 617,639 66% Burger King 847,998 422,104 173,535 41% Wendy's 894,576 423,127 186,273 44% Taco Bell 919,400 420,767 192,233 46% Pizza Hut 674,603 347,657 132,762 38% Domino's Pizza 629,006 324,887 121,028 37% KFC 480,670 276,454 92,969 34% Panera Bread 532,843 281,818 101,654 36% Panda Express 591,590 298,777 119,334 40% Chick-fil-A 815,717 336,176 162,544 48% Dairy Queen 434,416 245,169 84,128 34% Five Guys 361,975 213,486 63,499 30% Popeye's 500,003 247,153 97,187 39% Show the loyalty of the typical customer for a particular brand or brands. The data shows how many unique visits to a venue occur and how many of those visitors return.
  • 8. ?2017 Skyhook ? Proprietary and Confidential8 Determine how many users are loyal to one chain over another, and how many users frequent other competitors¡¯ locations. This type of analysis allow brands to target specific users with specific messaging to increase foot traffic to their stores. Brand Loyalty Analysis 48% 12.3% 8.1% 1.7% 8.9% 8.7% 12.4%
  • 9. ?2017 Skyhook ? Proprietary and Confidential9 Foot Traffic Analysis Foot traffic analysis is easy to visualize. Allowing you to see the best times to send your message or the best locations to expand your footprint.
  • 10. ?2017 Skyhook ? Proprietary and Confidential10 Event Analysis Gain deeper understanding of consumers at events. Learn when they attend and how the crowd travels. Identify where they visited before, during, and after the event. 2017 Women¡¯s March Black Friday 2017 Foot Traffic
  • 11. ?2017 Skyhook ? Proprietary and Confidential11 Automated Store Monitoring Skyhook¡¯s patented VenueLock technology uncovers previously undocumented Amazon locations and infrastructure. Skyhook Amazon Signal Detection Amazon Notifies Customers of New Pickup Location Skyhook identifies signal for new Chicago Pickup locations How it works 1. Existing known Amazon locations seed the Skyhook venue database 2. Skyhook identifies signal from the these facilities. 3. Skyhook finds unpublished Amazon locations based on signal patterns. 4. New venues are automatically labeled as categorized based on pattern recognition. 9/21/17 10/12/17
  • 12. ?2017 Skyhook ? Proprietary and Confidential12 Attribution Reports help illuminate ROI based on measuring the impact of foot traffic from an advertisement. We compare exposed users to a control group that has similar characteristics. WHOL E F OOD S SHO P P ER S Exposed Users are the number of devices that were served Whole Foods ads. Engaged Users are Exposed Users that visited a Whole Foods within the last 30 days. The Index is based on the comparison of Exposed Users to a Control group. 457,984 89,165 8.5%E X P O S E D U S E R S E N G A G E D U S E R S V S I N D E X Attribution: Measuring the Results
  • 13. This presentation contains confidential information intended only for the recipient(s) named above. Any other distribution, re-transmission, copying or disclosure of this message is strictly prohibited. If you have received this transmission in error, please notify me immediately by telephone or return email, and delete this presentation from your system. Location and Mobile Created for Skyhook Created by Jay Graves
  • 14. 14 Thanks We are passionate about the mobile apps we work on and are eager to work on projects that make a difference. Sample of our mobile app clients
  • 15. 15
  • 18. 18
  • 19. ?2017 Skyhook ? Proprietary and Confidential19
  • 20. 20
  • 22. 22 THANK YOU | CONTACT INFORMATION Jay Graves CTO, POSSIBLE MOBILE DENVER, CO jay.graves@possible.com 303.947.0446