Insights in the Age of Context by Farhan Lalji
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Think People! Social Analytics for the Age of Context Farhan Lalji @farhanlalji http:// www.linkedin.com /in/ farhanlalji PEERINDEX nsights in the Age of Context han Lalji rhanlalji [email protected]
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17-Oct-2014 -
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Marketing
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www.peerindex.com Email: [email protected]
Transcript of Insights in the Age of Context by Farhan Lalji
Think People!
Social Analytics for the Age of Context
Farhan Lalji@farhanlaljihttp://www.linkedin.com/in/farhanlalji
PEERINDEXInsights in the Age of ContextFarhan [email protected]@peerindex.com
500 years of marketing innovation
Magazines Telegraph Radio CRM
1450 1730 1836 1864 1876 1922 1941 1980s____ ____ ____ ____ ____ ____ ____ _____Moveable Newspaper Billboards Television
type
The last 30 years of marketing Innovation
Geurilla Integrated Search mobile
1980 1984 1985 1990 2000 2001 2007 2009 2011____ ____ ____ ____ ____ ____ ____ ____ ____Relationships Desktop Display Web 2.0 Social
If content is King, what does that make context?
Context is the crown
Tactics of competitions and #RTtoWin:these tactics work…right?
For every brand, every day, there is an opportunity to create a creating moment
In today’s hyper-connected world, not knowing who the influencers in and
around your audiences are is a dangerous position to be in
Create creating moments through and for Influencers
Gaz: particularly influential in Coral’s community
Holly: influence across betting communities
So they hired Holly Hagan for their lottery photo shoot
ACTION
and they put odds on Gaz to be Cheryl Cole’s next BF and tweeted him
RESULTS! And created a Twitter event!
600+
blogs, pics & vids
14Mpeople
reached
4200influencers engaged
The reality is, we’re just not making use of the information we have available to
us.
Think People!
Social Analytics for the Age of Context
Farhan Lalji@farhanlaljihttp://www.linkedin.com/in/farhanlalji
PEERINDEXAbout usFarhan [email protected]@peerindex.com
Powering the insight: PeerIndex’ big data platform
• Capacity: 4bn+ messages/day
• Streaming and batch
Data ingestion
Analytics Output
• Proprietary predictive analytics
• World-class data science team
160m users
1.2bn edges
275Gb / day
Some facts
• Likely advocates• Likely promoters• High referral value• Community
Influencers• Outside Influencers
• Who influences this person?
• Who does this person influence?
• In what context?
• Age• Gender• Location• Custom
• Psychographics• Lines-of-business• Customer look-a-
likes• Personalisation
Influence in segments
Influence Graph DemographicsCustom
Data/Insights
The Influence Graph & Predictive
Indicators
PiQ & API
• Common characteristics
• Behavioural trends• Trending content• Themes of
conversation
Community Trends
Think People!
Social Analytics for the Age of Context
Farhan Lalji@farhanlaljihttp://www.linkedin.com/in/farhanlalji
PEERINDEXThank youFarhan [email protected]@peerindex.com
