Global Research Mobile Data Monetization
Data Monetization
Examples and Insights
Global Evolution of Data Plans
Deep Packet Inspection Trends
Mobile Data Workshop
May 2012
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Operators in Global Regions Vary as to Evolution Stage
Lifestyle-oriented.
Location-aware
Brand-reinforcing
Affinity-based
Mobile Data Plans 4.0
QoS by plan, app, or
time. App wallets.
Pre-loaded devices
Value-based
Mobile Data Plans 3.0
Volume-based
Mobile Data Plans 2.0
Examples:
Volume or time cap.
Pay-as-you-go
Unlimited
Mobile Data Plans 1.0
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Globally, Plans Aligning to Cost and Subscriber Value
Market/Business Drivers:
Data ExplosionCongestion Relief
Sync Charging Models
with Customer Values
and Service Costs
Drive Loyalty via the
Customer Affinities
Tighter Partner & OTT
Profit Management
Global Examples
MTN- dynamic, real-time discounts for voice or data
based on localized network load
Orange- caps and tiers for data volume, surfing time
Globe– 12 Million subscribers using app micro-wallets
XL Axiata, ThreeUK– Service customization with QoS
CALA Operator- free mother’s day SMS leads to
subscriber notifications for free usage on birthday
Giffgaff (O2 MVNO)- loyalty points program,
community-developed apps, co-op discounts
FranceTelecom, TeliaSonera- plan exclusions or
surcharge by protocol, such as e-mail P2P, or Skype
In the Following Examples:
• Subscribers given option to spend on just what has value to them (Globe)
• Plans being used to promote the 4G vision- launch excitement (Singtel)
• Operators making offers that connect with customer affinities (Maxis)
Emerging Challenge: Identify patterns/thresholds…without encroaching privacy rights
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Common, Critical Challenges for Improved
Monetization
Understanding of Content Value versus Delivery Cost
• Pricing dynamics that include market, competitors, and network costs
• Analytics to drive revenue and cost models with partners
Customer Experience Improvement
• Actual opportunities for incremental revenue and/or churn reduction
• Pricing, policy, and experience creation aligned with understanding of
customer price elasticity and affinity
Operator’s Business Model
• Relationships with content providers to shift operator’s current burden
• Building on customer “must-haves” and exclusivity opportunities
• Many plan innovations will require evolution of operator’s privacy model
Orchestrating the Infrastructure
• Ability to identify data types, usage, and controls in support of various offers
• Integration and dynamic use of policy, charging, and service control
capabilities
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Developed Regions Launching Tiered Plans
Asia
Europe
North America
“Tiered” defined to include time, QoS, content, and other tiering distinctions
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Charging & Policy Integration Becoming
Essential
• Congestion relief dominates existing policy implementations
• Emerging plans (wallets, app packages and discounts, plan
exclusions) demand integration of policy and charging
From Global Amdocs Customer Survey- 3rd Quarter, 2011
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Market and Regulatory Differences by Region
APAC
EMEA
CALA
NA
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• ~50% of users globally. Younger, data-intensive demographic
• De-centralized regulatory environment, less privacy activism
•
•
Business-oriented marketing, cross-border mobility, high
penetration of smartphones in Western Europe
Centralized (EU) regulatory, active w/bill shock & some privacy
• First & primary Internet access is via mobile for many users,
network build lags other regions and is limiting factor
• De-centralized and less active regulatory environment
• Mobile penetration reaching saturation, smartphones dominating
new device sales
• Personal privacy and net neutrality- regulatory and from activism
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Deep Packet Inspection
Trends
Deep Packet Inspection Trends
Trend Insight:
Vendor Insight:
Allot: shift from traffic shaping/ throttling to experience
enhancement (ex. mobile video optimization)
Velocent: privacy workarounds w/packet header and
no packet payload storage
Facebook generation: under 35 focus on
connected experience, privacy a non-issue
Beyond traffic shaping: requirements shift from
managing threat to capturing opportunities
Modeling to Offers: DPI a growing data source
for analytics to identify behavior patterns for offers
DPI’s killer app?: DPI-enabled mobile video
optimization fast growing revenue source
NA: privacy and net neutrality has
delayed DPI growth.
EMEA: growth in offers, offer
exclusions also driving DPI needs
EU avoided restricting DPI use, just
requires disclosure
CALA: network build lags, but
mobile web is first & primary
access method for majority
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APAC: largest DPI base. Consumers:
OK with +experience vs. -privacy
tradeoff
Regional Insights:
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DPI – What are the Takeaways?
Majority of emerging monetization plans require DPI
technology
● Some DPI workarounds emerging to address privacy
issues
●
● Examples: using packet header and port, avoiding payload storage
Plan exclusions drive DPI need as much as plan
inclusions (ex. prohibit or surcharge on P2P or Skype)
● Evolving toward use for use of rich dpi behavioral data to
model patterns of use and customer affinity groups
●
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Mobile Data Plan
Workshop
Recommended Workshop Topics
Analysis and Feedback Loops
Workshop with AT&T
Marketing :
DPI: How its Being
Used and Why
Systems Capability
Analytics for
Segmenting & Pricing
• Market and Competitive
Business
Analysis
Readiness
• Monetization Analytics
Technical Readiness
• Product, Systems,
& Environment
Alignment
• Offer Creation
• Business Rules
and Policy
Integration
• Revenue
Actualization
Use Case Evolution
Global Use Case
Analysis…Drivers and
Implications
Planning Insight
Process Effectiveness
•
•
Amdocs tailors thought leadership workshops to clients’ interests and lifecycle stage needs
Building on AT&T’s request, real-world examples- drivers, results, and implications
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Thank you