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The Social Data Revolution is changing every aspect of our lives by enabling individuals to become publishers, create data, and share insights. With the amount of data created by individuals doubling every 1.5 years, understanding data's role in behavior changes is critical. This revolution began with technological advancements from the Industrial Revolution to the Information Revolution, ultimately culminating in the social age. The agenda explores consumer-to-consumer dynamics, the power of social proof, and how insights can be harnessed for innovative marketing strategies.
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Andreas Weigend @aweigend www.weigend.com
Who creates data? Production: Data is digital air How will this data be shared? Distribution: Everyone is a publisher What will this data be used for? Consumption: Behavior changes
A Shift in Language • Share • Distribute • Interpret • Empower • Collect • Solicit • Mine • Segment
Technologies Enabling Innovation 1800’s: Transport energy Industrial Revolution 1900’s: Transport data Information Revolution 2000’s: Create data Social Data Revolution
Waves of Innovation Social Data Revolution 1990’s: Search find 2000’s: Social share 2010’s: Mobile create
Social Data Revolution How the Changes (Almost) Everything
Data • The amount of data each person creates doubles every 1.5 … 2 years 2x time?
Data • The amount of data each person creates doubles every 1.5 … 2 years • □ after five years x 10 • □ after ten years x 100 • □ after twenty years x 10000
Since then… + Communication + Sensing + Computation
Time Scales Biology: ~100k yrs Data, Technology: ~1year Social Norms: ~10 years
C2B Part I:
Imagine... • You knew all the things people here have bought • You knew all of their friends • You knew their secret desires ... what would you do?
Amazon.com helps people make decisions… …based on reviews
Social proof: Put your money where your mouth is
How do you know peoples’ secret desires? World Innovation Forum
Data Sources • Attention • Clicks, Transactions • Intention • Search • Connection • Social graph • Situation • Geo-location • Device
New phone product: How to market? • Traditional segmentation • Demographics • Loyalty • Connection data • Who called whom?
1.35% Adoptionrate 4.8x 0.28% • Traditionalsegmentation • Connection data
Business Customers
C2C = Customer-to-Customer • Customers share with each other
C2C Part II:
Result:Amazingconversion rates since customer chooses Content (the item) Context (she just bought that item) Connection(she asked Amazon to email her friend) Conversation(information as excuse for communication)
Purpose of communication:to transmit information? Or is information justan excuse for communication?
Social graph targeting Provide list of prospects
Fraud reduction Provide risk scores
C2W Part III: