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Data Management Platforms
2014 Overview
data management platforms
an overview

© 2014
overview
•

Data Partners

1st Party

2nd Party

3rd Party

Data Normalization

© 2014
overview
Online / Offline

Search

Web
Web

Social
Social

Mobile
Mobile

© 2014

Structured & Unstructured

Search
Online / Offline

•
overview
Audience Data

Web Analytics
App Analytics
Elements

•

CRM
POS
Video
Social
Purchase Data

© 2014
overview
•

Methodology

Declared

© 2014

Inferred

Modeled
overview
•

CRM Data
• Decorated
• Anonymized
• Actionable

CRM Onboarding

Cookies
[Identifier]
1st Party
Segments

Offline
Purchase
History

© 2014

Demographics

Browser &
Contextual
Intent
overview
•

Why a DMP?

Who is my
audience?
• Research &
Insight

© 2014

How do I target
them?
• Targeted
Media Buys

Afterwards, did
it work?
• Attribution
market Landscape
competitive positioning

© 2014
landscape
•

Why use a DMP?

Align Media Companies’ Interests
Manage & Optimize Cross-Channel
Big Data Informs Business Decisions
Preserve Privacy & Ensure Security

© 2014
landscape
•

DMP Evaluation

Criteria
•
•
•
•
•
•
•

© 2014

DMP Data Provider Partnerships
Data Collection & Normalization Processes
Segmentation & User Profile Management
Audience Data Syndication
Reporting & Analytics
User Interface
Client Services
landscape
•

Market Landscape

Competition

High

Scale &
Depth of
Dataset

Low
Low
© 2014

Profiling Ability (# of Segments)

High
landscape
•

Cover Complete Customer Life-Cycle
•

Market Leader: End-to-End Marketing with Adobe Marketing Suite

Life-Cycle

Analytics
TagManager
AudienceManager

Marketing Suite
Efficient Frontier

© 2014
landscape
•

Market Opportunities

Trends

Mobile
• 1st & 3rd Party Data Sources
• Access to data, insights & reporting

Complete Coverage of
Customer Life-Cycle
• Horizontal Development to create an
end-to-end, one-stop shop for Marketers

Offline Data
• Additional offline data will allow for more
complete profiles.

© 2014
mobile
opportunity

© 2014
mobile
•

channel growth

© 2014
mobile
•

Percentage of Mobile Website Traffic

channel growth

© 2014
mobile

Mobile Cookies

•

•
•
•
•

cookie depreciation

iOS Default Settings Block 3rd Party Cookies
Android Accepts 3rd Party Cookies
All Platforms Clear Cookies in Cache on App Close or Phone Reset
Cookies are Siloed; Inaccessible by other applications and browsers

Mobile Cookie Performance [H1 2013]
•
•

© 2014

67% of ads served on Safari browser were served with no cookie match
• 66% of mobile impressions served overall.
41% of total mobile impressions served without cookies
• Compared to 10% cookieless on desktop
mobile

ID is Key

•

•

device ID

Static Identifier
• Android: Android ID
• Static (Depreciates ~2 Years)
• iOS: Identifier for Advertisers (IDFA)
• Consumer Controlled (Default: Open)

Device Fingerprinting
•
•

© 2014

A technique, which uses browser environment characteristics, like installed
fonts, installed plugins, screen resolution, to generate an unique devicespecific fingerprint.
Example Data Points:
• Country Code
• Device Brand
• Device Model
• Device Carrier
• IP Address
• Language
• OS Name
• OS Version
• User Agent
• Timestamp
mobile

Mobile Browsers: One Step Removed
[Accessing Device ID]

•

mobile browsers

OS

App

Data

OS

Browser

Web [App]

© 2014

Data
mobile

Mobile Data: Opportunity
[Exposed in Bid Request (BR) or Example Companies]

data
Operating System

(BR) i.e. iOS, Android

Device Hardware

(BR) i.e. iPhone, iPad, etc.

Contextual

Elements

•

(BR) i.e. App Name & iAB Category

Language

(BR; Limited to Browser)

Current Geolocation

(BR; Avail.) Geo Coordinates

Retargeting
Location Based Profile
User Profiles
CRM
App Analytics

© 2014
mobile
•

Mobile Publishers: Pain Points

developers

Publisher
Spends time and money
building applications.

Lose-Lose
• Advertiser does not
meet campaign KPI.
• Publisher yields low
revenue.

© 2014

Monetization
Deploys applications on the
market. Monetizes through
advertisements.

Inventory
Huge supply results in bids
for irrelevant impressions.

Networks
Lower eCPMs and CTRs
than any other ad channel.

Targeting
Advertiser cannot discover
desired audience due to lack
of data on mobile.
mobile
•

channel overview
Siloed Audience Targeting Data

Nominal Conversion Rates
•No standardized or accepted means of cross-channel attribution.

Advertisers Missing KPIs per Campaign
•Or unable to measure results and attribute revenues to investments.

Minimized Spend
•While total investment in mobile search, display, video, and social
grows, CPM costs are nominal.

Publisher’s Potential Revenue Limited

© 2014
mobile
•

remaining hurdles

ARPU
• 35.8%
Projected
Growth in
2014

© 2014

Ad Units
• IAB Rising
Star Ad
Units

Data
• DMP’s
Opportunity
mobile
•

Advertisers are Dependent

data management

© 2014
mobile
•

Advertisers are Dependent

data management

© 2014
mobile

Advertisers are Dependent
[…and Motivated]

•

data management

© 2014
strategy
implementation

© 2014
strategy
•

Minimize Market Education

shift budgets

Avoid
• Hiring
• Training

Extend Desktop Budgets
•

© 2014

Cross-Device
strategy
•

Overdue-Shift of Revenue for Publishers

mobile monetization

Mobile Monetization
• Initial Targeting Data
• Cross-Channel Attribution Models
• Impressions are not enough, data is a valuable asset currently
unleveraged by majority of mobile publishers/developers
• Opportunity with mid-tier and long-tail

Mobile Analytics & Insights
• Limited options outside of analytics to understand mobile consumer
demographics.
• Data visualization tool; used for ad
operations, sales, marketing, analytics and research

Consumer Purchase Decision
• Visualize customer’s location in the conversion funnel

© 2014
Keith Petri, 2013
Questions / Comments
@KeithEPetri
www.KeithPetri.com

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2014 Overview of Mobile Opportunities for Data Management Platforms (DMPs)

Editor's Notes

  • #3: Source: http://www.mediapost.com/publications/article/155619/exelates-ceo-coins-term-for-dmp.html
  • #11: Unite the interests of advertisers, marketers, publishers and digital merchants around distinct, actionable audiencesPresent a foundational infrastructure for managing and optimizing, cross-channel customer experience managementPromote the development of “Big Data”-level insights that could inform product development, customer service, resource allocation and a range of other business functionsManage complex data governance programs that seek to preserve privacy, promote transparency and choice, ensure the security of sensitive information and guarantee that the interests of the consumer are never subordinated to “real-time” execution needsProvide a foundation for assessing—and substantiating—the true value of advertising, marketing and media investmentsSource: http://www.iab.net/about_the_iab/recent_press_releases/press_release_archive/press_release/pr-1112125th, if needed, “Enable Smart Marketing Investments”
  • #13: Source:Adobe Scale: http://www.datastax.com/wp-content/uploads/2012/11/DataStax-CS-Adobe.pdf
  • #17: Source: http://go.brandlift.com/rs/vizu/images/REPORT%20-%20Whats-Next-Getting-Started-With-Mobile.pdfProjected to grow to 75% in 2014
  • #18: Source: http://bgr.com/2013/11/08/mobile-devices-internet-traffic-q3-2013/Only 20% of activity on smartphones (compared to app usage)
  • #19: Source: Casale Media
  • #22: The average user engages about 200 times a day with their mobile device of choice, spending an average of two hours and 21 minutes a day on them.
  • #26: Source: Winterberry Group White Paper (Marketing Data Governance); July 2013
  • #27: Source: Radar & BlueKai Research 2013
  • #28: Source: Radar & BlueKai Research 2013