X+1 overview may 2010
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Transcript of X+1 overview may 2010
[x+1] Company Overview
May 13th, 2010
2 Proprietary & Confidential
3 Proprietary & Confidential
4 Proprietary & Confidential
5 Proprietary & Confidential
The [x+1] Platform and Products
Media+1Audience and content based ad targeting and optimization; private client networks
Site+1Personalized websites with content/offer/creative tailored to specific audience segments
[x+1] Platform optimizes results from display media,
landing pages and websites.
Search+1 Dynamically assembled landing pages that improve relevance after the search click.
6 Proprietary & Confidential
Our Clients
7 Proprietary & Confidential
is the heart of the platform
HTTP & IP Data
• bandwidth, time of day, work/home, browser version, OS, zip code
Demographic Data
• age class, life stage, rent/own, household income, IPA, MRI, NAICS, etc.
Contextual Data
• website categories and subcategories
Behavioral Data
• remarketing, product pages visited, recent builds, referring URL (search data), marketing exposure, purchased behavior segments
Customer and 3rd Party Data
• customer tenure, products purchased, offline propensity models, brand preference
POETM identifies user attributes and correlates them with positive responses to a marketer's advertising to generate target audience profiles and segments.
Data includes:
Audience 1• Low Bandwidth• Home, Thursday 3PM• Northern California• PRIZM Lifestyle Cluster 32• Reading Auto Reviews• Has Viewed Ad Once
Before• Recent Acquisition
8 Proprietary & Confidential
• Clients can bring their own partnerships (BYOD) and customer data and access them through [x+1] Platform
The Open Data Bridge is the foundation: Full log file, third party and customer data integration
Tools and POE Engine
thir
d-p
art
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data
9 Proprietary & Confidential
thir
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Trading Desk model for Media Buying uses [x+1] technology to transform the entire online media buy
Tools and POE Engine
RTB Technology
RMX
O & OSearch
AdSense
Trading/Service Desk
DFP PubsSearch LinkShare
Client
API Publisher/Exchange Integration with 90% unduplicated reach
10 Proprietary & Confidential
Forrester rates highly our attribution and modeling capabilities
10
Cross-channel reporting includes:• % of unique converters seen in each channel by conversion type• # of click and display events by channel leading to a conversion event• Drill downs by different timelags (1 day, 1 week, etc.) • Optional data transfer for more in-depth sequencing analysis
“[x+1] impressed us with its full service offering which includes some of the richest algorithmic analytics of the group”
11 Proprietary & Confidential
Unique Reach & Frequency Analysis
11
Reach & Frequency reporting includes:• Reach and frequency by publisher / section• Reach and frequency unique and overlap rates between publishers / sections• Reach and frequency unique and overlap rates between publishers / sections for remarketing
12 Proprietary & Confidential
Remarketing analysis
SiteReach
(Unique Users)
1 2-3 4-5 6-8 9-12 13+ SiteReach
(Unique Users)
1 2-3 4-5 6-8 9-12 13+
Yahoo! Finance 32,465,678 32% 13% 5% 2% 9% 39% Yahoo! Finance 6,493,136 16% 10% 10% 9% 18% 37%MSN Homepage 27,595,826 43% 26% 15% 9% 4% 2% MSN Homepage 5,519,165 19% 14% 14% 13% 15% 25%AOL Finance 23,456,452 27% 18% 11% 7% 17% 20% AOL Finance 4,691,290 12% 11% 11% 10% 22% 33%Exchange 21,037,089 52% 22% 9% 4% 7% 7% Exchange 4,207,418 26% 26% 16% 9% 9% 14%Weather.com 19,937,985 32% 21% 14% 9% 14% 11% Weather.com 3,987,597 11% 10% 10% 9% 24% 35%Casale Media 16,947,287 48% 21% 9% 4% 9% 10% Casale Media 3,389,457 6% 8% 10% 13% 24% 39%Audience Science 11,149,657 24% 21% 18% 15% 11% 11% Audience Science 2,229,931 4% 6% 9% 14% 20% 47%Yahoo! BT Segment 5,909,318 31% 20% 12% 8% 16% 13% Yahoo! BT Segment 1,181,864 12% 11% 11% 10% 16% 39%CNN 3,131,939 36% 11% 10% 17% 13% 13% CNN 626,388 13% 12% 12% 11% 13% 39%Forbes 1,659,928 42% 13% 11% 14% 8% 12% Forbes 331,986 15% 14% 14% 13% 22% 22%TOTAL CAMPAIGN 37% 19% 11% 7% 10% 16% TOTAL CAMPAIGN 15% 13% 11% 11% 18% 32%
OVERALL (EXCLUDING REMARKETING) FREQUENCY REPORT REMARKETING FREQUENCY REPORT% OF SITE IMPRESSIONS IN USER FREQUENCY
CATEGORY USER FREQUENCY CATEGORY
Report Uses• Assess the relative attribution credit of conversions by site.• Assess the effectiveness of the site to generate conversions on a weighted basis.
13 Proprietary & Confidential
Converter Overlap
SiteAttributed
Conversions% Conversions
Exclusive to site% Imps for
Converters to site% Conversions
Attributed% Converter Impressions
% Campaign Impressions
IndexWeighted
ConversionsAttribution Weighting
Yahoo! Finance 154 40% 81% 19.1% 17.5% 25.5% 69% 141 92%MSN Homepage 138 35% 75% 17.1% 18.8% 16.3% 115% 152 110%AOL Finance 117 56% 68% 14.5% 9.5% 9.2% 103% 77 65%Exchange 105 32% 56% 13.0% 19.3% 11.2% 172% 156 148%Weather.com 100 80% 74% 12.3% 13.4% 10.5% 128% 108 109%Casale Media 85 45% 91% 10.5% 8.8% 9.3% 94% 71 84%Audience Science 56 12% 52% 6.9% 4.8% 11.9% 40% 39 70%Yahoo! BT Segment 30 45% 65% 3.7% 4.8% 4.8% 100% 39 131%CNN 16 12% 56% 1.9% 1.7% 0.8% 213% 14 88%Forbes 8 50% 72% 1.0% 1.4% 0.6% 233% 11 136%
Overall Post-Impression Converter Report
Report Uses• Assess the relative attribution credit of conversions by site.• Assess the effectiveness of the site to generate conversions on a weighted basis.