2. My Journey in Marketing
Connecting The Dots
Lessons in Customer Engagement
1. All Revenue Not Created Equal
2. Make Yourself Easy to Find
3. Make Your Product The Offer
Where We Go From Here
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GeoEye Proprietary
3. Connecting The Dots
Connect Dots Looking Back
Find What You Love
You Have Nothing To Lose
Embrace each experience good or bad
and trust the dots will connect in the
future
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GeoEye Proprietary
4. My Journey To Date
Technology
Leader
Acquisition
Platform
Venture
Startups
Strategy
Consulting
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GeoEye Proprietary
6. Our Business Today …
2011 YTD Revenue by Product and Customer Segment
25% 23%
8%
70%
75%
US Government
Imagery Collection Other Domestic
Multisource Services International
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GeoEye Proprietary
8. Driving Customer Engagement
Resource Allocation
Lesson 1: All Revenue Not Created
Equal
Promotional Strategies
Lesson 2: Make Yourself Easy to Find
Lead Conversion and
Nurturing
Lesson 3: Make Your Product Your
Offer
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GeoEye Proprietary
9. Resource Allocation
Lesson 1: All Revenue Not Created Equal
Different Acquisition Costs
New Accounts > Cross Sell > Renewal
Different Contribution Margin
Hardware vs. Software vs. Data vs. Services
Allocate Budget To Optimize Long Term
Incremental Contribution To Company
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GeoEye Proprietary
10. GeoEye Allocation Methodology
100%
Other Global
90%
Value Added 12%
80% Services
24%
70% Federal
Value Added
60% Services
50% International 26%
Imagery
40%
30% Other 18%
20% Domestic
Imagery
10%
Federal 20%
0% Imagery
Total Total
Revenu Growth Campaign Budget Allocation
e
Illustrative Metrics
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11. Promotional Strategies
Lesson 2: Make Yourself Easy to Find
Interactive Media Authoritative Analysis Social Video
Integrate Promotional Activities
Across Multiple Channels
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12. Spatial Events Can Be Correlated To
Multiple Layers of Geospatial Data
Spatial Human Physical
Event Data Geograph Geograph
y y
• Mission Planning • Demographics • Terrain/Elevation
• Terrorist Attack • Tribal Boundaries • Landmarks
• Border Crossing • Political Boundaries • Roads/Infrastructure
• Disaster Response • Religious • Weather Patterns
• Oil and Gas Composition • Satellite Imagery
Exploration • Socioeconomic Data • UAV Full Motion
• Cultural Features Video
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GeoEye Proprietary
13. GeoEye Analytics Methodology
Spatial Multisource Data Geospatial
Event Data Fusion and Analysis Insight
Human
Geograph
y
Physical Expertise
Geograph
y
Tradecraft Tools
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GeoEye Proprietary
14. Scale Promotions With Analytics
Analyze Patterns To Target Promotions
Discover Most Influential
Social Media Outlets
Discover Best Locations
To Target Your Customers
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15. SocMetrics Social Media Profile
Lead Conversion and Nurturing
Lesson 3: Make Your Product Your Offer
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GeoEye Proprietary
17. Lead Conversion and Nurturing
Lesson 3: Make Your Product Your Offer
Google Enterprise Blog
40 million people now
use Apps. We also
announced that 4
million businesses run
on Apps and another
5,000 join the
movement every day
Instead of investing in whitepapers and
reports let your users touch and feel your
product
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GeoEye Proprietary
20. Lead Conversion and Nurturing
Low
Awareness
Are enough
No Real
people Need
using your
product? Better
Alternatives
Poor Value
Proposition
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GeoEye Proprietary
21. The Next Step In Our Journey
Invest appropriately to drive
long term profitable growth
Analyze patterns to get your
message in front of your
users
Minimize barriers between
your product and your users
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GeoEye Proprietary
That allows us to capture stunning images like you see here of Qatar that was captured in September of 2010.
The way this works is that we start with a record of event data. We look at different types of spatial events, so it could be terrorist attacks, border crossings, places where disasters occur, where we found oil/gas in the past. Then we correlate that with many layers of factor data which includes both the physical features of an area, so terrain, landmarks, roads, imagery (we’ve been doing some very exciting work in full motion video, as more of these ISR assets get deployed) but we also look at human geography - so demographics, tribal boundaries, political affiliations, religion, socioeconomic data, etc, which allows us to get the full view of a location to then predict future events.
The methodology that we employ is that we aggregate both event data and the factor data that has both human and physical geography characteristics. We then have a combination of expertise, tools, and tradecraft that allows us to fuse multi-source data and then run analytical algorithms against that to eventually result in a form of geospatial insight that takes former events and then identifies, based on this analysis, where future events may occur.