Neil Perry Vice President iMedia Communications Insight Presentation: Behavioral Targeting.
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Transcript of Neil Perry Vice President iMedia Communications Insight Presentation: Behavioral Targeting.
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Neil PerryVice PresidentiMedia Communications
Insight Presentation:
Behavioral Targeting
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Agenda
– What is Behavioral Targeting?
– The Four Types
– Case Studies
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iMedia / Ponemon Study
– Based on Media Director Reponses:
• 13% of 2005 Buys are Behavioral Targeting
• 21% of 2006 Buys will be Behavioral Targeting
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What is Behavioral Targeting?
– Targeting Web Users Based On Observed Behavior
• Target People, Not Pages
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Four Types of Behavioral Targeting:
– Publisher– Network– Ad Optimization – Computer
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Publisher Side
– Individual websites track behaviors, target consumers “of like mind”
– Segment Audiences• Auto, Pharma, Finance, etc.
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Travel Industry Case Study
– Unidentified Client– Publisher Side Behavioral Targeting
+ Dynamic Logic Study– Measures Actions & Attitudes
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Travel Sector – Results:
– 100% Lift in reaching Business Travelers (vs. RON)
– 75% Lift in reaching Leisure Travelers (vs. RON)
– 18% Lift in reaching Travelers – planning trip in 6 months
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• Persuasion Metrics Up
• Brand Favorability and Purchase Intent Increased
Brand Metric Measurement
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Ad Network Side
– BT Advertising Run Over Many Sites
• Broader Reach; Consistent Target
• Narrower Criteria
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e-Diets
– Buy included Behavioral Targeting, Contextural, and Run of Site Ads
– Network - 800 sites– Drive visits to e-Diets – Drive Newsletter sign-ups– 4X Frequency Cap
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• Health and Fitness Buffs• Active Adults
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Click-thru Rate (indexed to averageCTR for entire the network)
Behavioral
Contextual
Run-of-Segments
* Index normalized to adjust for relative ad performance level differences among sites and sections where ads were distributed
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Ad Optimization
– An Ad Optimization Engine; a Decision Tool
– Determines Appropriate Ad for Consumer at the Appropriate Time
– Based on Past Site Behavior
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• Monster Case Study
– Employed Network Behavioral Targeting
+ Ad Optimization Strategy
– Dramatic Results
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Monster Case Study
– Drive employers to post jobs– Drive job seekers to post resumes– Behavioral Targeting delivered ads
based on websites visited, time of day, geography, etc.
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Ad Optimization Strategy
– Target visitors to Monster.com•Failed to post resume
– Ads delivered based on behavior•Adjusted frequently
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Monster Results !!!
Jun 04 Jun 05
Job Postings
20K
40K
60K
100K LeadBack implemented
Over 590,000 jobs posted to date!80K
Sept 04 Jun 05
10K
20K
40K
60K
30K
50K
Resume Postings
63% Increase
Nearly 300,000 resumes posted to
date!
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Netscape
– Millions of Page Views– Potential ISP Conversion
Opportunity– Portal Ad Unit
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Ad Optimization - Netscape
– Right Message, Right Person, Right Time
– Deliver Intelligent, Informed Offers
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Modeling
– 12% of Impressions Delivers 90% of Registrations
– Only Best Prospects Get Ads• Balance of Inventory Sold Off
– Visitors Scored Instantly• And get appropriate message
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• Increased ISP Registrations
• $16.5mm in Incremental Ad Revenue
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• Computer Behavioral Targeting
– Computer Behavior Tracked in Total; Requires download of tracking software
– Usually accepted in exchange for free programs
– Results in higher conversions
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• Questions…contact:
– Nick Johnson, Revenue Science– Bennett Zucker, Tacoda– Charles Whittingham,
Advertising.com– Joseph Zawadzki, Poindexter