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Real-Time Offer ManagementDetailed View
SAP Real-Time Offer Management 7.1
Detailed View
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SAP 2010 / Page 2
SAP Real-Time Offer Management (RTOM)
RTOM enables organizations to conduct intelligentand relevant customer interactions
RTOM recommends the best customer treatments in
real-time to build profitable customer relationships.
Turn inbound interactions into revenue opportunities
Fight customer churn and boost loyalty
Accelerate customer acquisitions
Empower agents and interaction over all touch points
Improve customer experience and satisfaction
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SAP 2010 / Page 3
Business Environment
Business Process
Solution Overview
Value Proposition
Agenda
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SAP 2010 / Page 4
Agenda
Business Environment
Business Process
Solution Overview
Value Proposition
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Bottom line: Need for real time decision support during inetarctions
The Business EnvironmentCustomer and Product Perspectives
Facilitate
Offering
Personalize
Interactions
Growing PRODUCT complexityConsolidation, collaboration and virtualization result
in rich and complex product portfolios overfrequently fragmented business supporting systems
High CUSTOMER expectationsDemand for relevant information and consistent
experience across the enterprise and its channels
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Market AttractivenessAnalysts View
Strategic Planning Assumption: By 2011, the two most significant changes in
the contact center will be agent access to real-time decision support and aview into the customer's activity, including Twitter, on the organization's website
and beyond". Gartner, Predicts 2010: Customer Service Meets Social CRM (Dec 2009)
During 2010, real-time decisioning will be the most adopted category of
analytic applications. Gartner Predicts 2010: The Top Five Concerns in the Analytic
Applications Space for the Coming Year (Dec 2009)
Real-Time Offer Management can improve your customer response rates as
much as 10 times than what you typically achieve with direct marketing. Gartner,
Five Business Benefits to Be Gained From CRM Multichannel Campaign Management
Inbound/Outbound Integration (Nov 2008)
... the desire to enrich the experience of each interaction, a captive and
attentive audience, and the opportunity to reinforce the brand, all make inbound
marketing a compelling solution. Forrester, How technology enables inbound marketing
2008
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CRM Marketing Hype Cycle 2009
Market AttractivenessReal Time Decisioning - a key technology!
Analytic Applications Hype Cycle 2009 Context Aware Computing Hype Cycle 2009
CRM Service Hype Cycle 2009
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RTOM recommends in real-time productsand next best actions
RTOM learns from response and improves its recommendations
SAP Real-Time Offer Management (RTOM)
RTOM is a real-time recommendation technology that enables
organizations to conduct intelligent customer relationship
SAP 2010 / Page 8
Real-TimeDecisioning Engine
Offer ManagementEnvironment
Self-Learningand Analytics
Solution Foundations
Recommend
optimal offers
Create & manage
offers portfolioLearn and adapt
Measure and
provide insights
RTOM
Process
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Key Capabilities
Multi-channelrecommendation engine supporting closed-loop Marketing
Real-time data access and calculation available for decision support
Recommendations provided with personalized reasoningto improve acceptance
Offer are prioritized by response rates and/or business value
Holistic out-of-the-box business analytics, reporting and dashboards
Out-of-the-box integration with SAP landscape
Opennessfor third-party / legacy integration
High performance and scalability
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Why Clients Use RTOM?Sample Use Cases
SAP 2010 / Page 10
Sample Use Case Expected Benefits
Enhance cross-/up-sell and retention during
inbound and outbound interactions
Increase revenues while keeping service
productivity; Increase customers lifetime value
Guide interactions and recommend next best
actions
Empower customer facing personnel;
Streamline self-service channels; Increase
customer and agent satisfaction; Reduce
handling time;Strengthen branding
Synchronize and improve offering across all
interaction channels
Increase customer satisfaction; Boost online
sales; Decrease costs;
Enable Marketers and other business users to test
ideas and deploy them in short-time-to-market
Decrease Marketing spending ;
Shorten time-to-market
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One of the top ten largest financial
services holding companies in the
United States
Business challenges
Complex offeringthe bank manages a comprehensive offering
environment: banking, brokerage, insurance, investment, mortgage, trustand payment services
Wish to create and manage a multitude of cross line of business offers(e.g. mortgage + insurance)
All product should be available over all channels
CRM strategy & objectives
We are always here for youService available 24 hours a day, 7 days aweek; 24-Hour Bankers are available 24 hours a day, 7 days a week; etc.
We have the product you need and if not we will create it
Immediate and accurate execution guaranteed
Results with SAP RTOM
Introduced in a month 35 different cross/up sell and retention offers
Agents are doing 50-60% better and improving month to month
18% positive response to RTOM offers; additional 12% requested follow up
3 hours to train new agents
Up and running in call center within 3 months
ROI within 6 months
A Top Ten U.S. BankIncreased Inbound Sales by 60%
52%
57%
60%
48%
50%
52%
54%
56%
58%
60%
62%
Jan Feb Mar
Booked Accountsvs. contro l group
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Agenda
Business Environment
Business Process
Solution Overview
Value Proposition
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Optimalrecommendation
Cross-/up-sell offers
Retention offers
Marketing messages
Next best action
Real-Time Decisioning
RTOMOffer information Offers and their values
Target population
Channels
Triggers and events
Real-time customer information
Real time customer profile
Previous customers responses
Real-time session information
Nature of the interaction
Agent skills
Level of service
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Insights for business users
on offers, agents, channels
and responders
Recommendoptimal offers
Create & manageoffers portfolio
Learn and adaptMeasure and
provide insightsRTOMProcess
Simulation and Administration (part of RTOM Applications Toolkit)
Intuitive offer definition
and management
environment
Prioritized real-time
recommendations
RTOM Process and andscape
Automatic learning to
improve subsequent
recommendations
Offer Designer Recommendation Engine
BW / DWH
Interaction ChannelsCRM & other data sources
Integration Manager (part of RTOM Applications Toolkit)
Design Interaction Analysis
RTOM Analytics
and Dashboards
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Agenda
Business Environment
Business Process
Solution Overview
Value Proposition
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Offer Definition
Eligibility
RulesPrerequisites
Validity Time Frame
Re-offer Policy
Targeting
CriteriaSpecific Target Profiles
Profiling Hypothesis
Personalized Reasoning
Description Short Description
Business Priority
Links to Products & Actions
Offer
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6. Feedback
Other Data
Sources
BW / 3rdparty
DWH
5. Recommendations
Recommendation Engine
Customer Interaction Channels
CRM Master
Data
4
2. Events
Data Integration Services
Recommendation Services
The RTOM Landscape
Offer
Designer7. Experience
1
Product Catalog
3. Data retrieval
Web IC
Web Services
# Step
1Offers are defined in BLS and
saved in the RTOM engine
2Interaction application event
triggers RTOM
3RTOM retrieves data from
data sources
4The engine detects the
optimal offers
5Recommended offers are
provided to the application
6Recommendation result is
sent back to the engine
7Experience is extracted and
exported for Analytics
ExperienceOffersRTOM Analytics
Info
Providers
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SAP Real-Time Offer Management
SAP 2010 / Page 18
Measure & Provide Insights (Analytics and Dashboards)
SAP Real-Time Offer Management Building Blocks
Web ChannelInteraction
Center
Customer
OfferPerformance
Self-Learning andOptimization
Response Detection& Capture
Response Analysis
Ranking & Profiling
Real-TimeDecisioning
Event Detection andProcessing
Real-Time DataAccess & Evaluation
Arbitration &Optimization
Interaction
Assistance
Next Best Action
Product Information
Suitability forDecision Support
Offer Portfolio
Management
Targeting
Product Selection
Business Goals &Prioritization
AgentPerformance
Customeranalytics
Channelanalytics
Branches andstores
ATM
LeadsAnalysis
Trending
IVR/CTI POS Mobile
Industry Solutions
Integration, Monitoring and Simulation Tools
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Offer Portfolio Management
Offer Portfolio
Management
Interaction
Assistance
Self Learning and
Optimization
Measure & Provide
Insights
The Offer Portfolio Management environment is a central offer
repository and management environment that enables the creation
and maintenance of inbound and outbound offers.
An offer is marketing object whose definition encompasses the following
Targeting define offer eligibility rules and target audience. Eligibility and targeting
criteria are defined in the form business rules or in the form of hypothesis
Product Selection associate the offer with a specific product(s) from the master
product catalog (including volume packages and bundles)
Business Goals associate the offer with one or more specific categories or
business goals (e.g. retention, end-of-year offers, volume benefits,)
Offer Prioritization define the offers business priority
Real-Time
Decisioning
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Real-Time Offer ManagementRTOM Offers Design in Campaign Management
RTOM offers are campaign type that associates products and NextBest Actions to customers and interaction events
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Linking Offers to Products in Catalog
Products and services are directly linked to offers
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Real-Time Decisioning
Offer Portfolio
Management
Interaction
Assistance
Self Learning and
Optimization
Measure & Provide
Insights
The Real-Time Decisioning engine recommends the best offers to acustomer, based on a wide range of considerations, in real time,during customer interactions.
Real-time data evaluation and calculations the engine analyzes various types ofdata in real-time; theme and events of the current interaction, relevant customerdata, agent skills, and more
Offer Arbitration the engine evaluates the available offers and filters outincompatible offers based on current session information, eligibility rules validity
period, agent skills, previous customer responses, etc.
Offer Optimizationthe engine priorities the offers that are suitable to the currentcustomer. The prioritization factors in the personal response estimation and thevalue of acceptance to the organization business goals
Real-Time
Decisioning
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SAP EHP1 for SAP CRM 7.0RTOM Offer Details
Offers business goal
Target customer profiles
Offers triggering events
Offers eligibility rules
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Interaction Assistance
Offer Portfolio
Management
Interaction
Assistance
Self Learning and
Optimization
Measure & Provide
Insights
Interaction Assistance supports effective promotion of therecommended offers
Next Best Action guides the agent or customer to the most important next activity
Product Information provides the relevant description and link to the productcatalog
Personalized decision support provides customer specific information that isrelated to the suggested offer and the explains why this offer is recommended.
Real-Time
Decisioning
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RTOM in the Interaction Center
SAP 2010 / Page 25
RTOM Recommendations
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RTOM in a Web Shop (mock-up)
SAP 2010 / Page 26
RTOM Recommendations
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Self-Learning and Optimization
Offer Portfolio
Management
Interaction
Assistance
Self-Learning and
Optimization
Measure & Provide
Insights
The systems tracks and analyzes the actual customers responseswith the purpose to improve subsequent recommendations
Response Capture is a feedback mechanism that tracks the customer response
to offers and logs these into the experience database for further analysis
Response Analysis analyzes the experience database using statistical machinelearning algorithms and enables online adaptation of the different offer scores
Profiling and Scoring identifies responders profiles, fine-tunes the targetinghypothesis for each offer and scores its performance in the respective profiles
Real-Time
Decisioning
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Targeting RTOM OffersRecipient Profiles
SAP 2010 / Page 28
Recipient profiles VIP customer andcustomers that have certain products
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Targeting RTOM OffersRefining Recipient Profile by Self-Learning
RTOM will evaluate all combinations of profilinghypothesis (here 2 4 combinations)
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Closed Loop MarketingLinking Outbound Campaigns to RTOM Offers
SAP 2010 / Page 30
Outbound campaigns are linked to offers and their targetgroup used for the RTOM offer
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RTOM Recommendation StrategyIdentifying Specific Response Profiles
Profiling Hypothesis
PredictorNo Credit
LineFemale
Free
profession
61.1%
42.5%
15.8%
5%
Users, when defining an offer, can provide a targeting hypothesis regarding
customer characteristics that may impact acceptance ratios
Self-learning of the actual responses validates and fine-tunes these hypotheses
The algorithms also tackle real-time learning challenges such as stagnationavoidance, seasonal effects and changes in taste
Overdraft protection
Classification = Free profession
Gender = FemaleCredit line = falseGender = Female
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Enhance the ability to manage and optimize the efficiency of online offering, allowing
control over offer effectiveness and agents performance
Offer performance analytics analyzes the performance of offers along with customer profiles,and interaction events over time.
Agent performance analytics analyzes the utilization of RTOM and the success of offering by
different agents, as well as the impact on productivity over time.
Customer analytics analyzes the response profiles of the various offers.
Channel analytics provides insights about the offer performance in different channels as well
as channel specific offering profitability.
RTOM AnalyticsFour Main Categories
SAP 2010 / Page 32
Offer Portfolio
Management
Interaction
AssistanceAdapt and Learn
Measure & Provide
Insights
Real-Time
Decisioning
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RTOM AnalyticsManager and IC Manager Dashboards
Real-Time Offer Management Analyticsleverage the most recent NetWeaver BI
improvements and Business Objects
xCelsius Dashboards
RTOM analytics are available to the
IC Manager and Marketing
Professional SAP CRM roles
RTOM A li ti T lkit
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SAP 2008 / SAP CRM Marketing Overview, Page 34
RTOM Applications Toolkit
Real-Time Offer Management is delivered with a Web-based applications toolkit that enables
system integrator to easily integrate and extend RTOM use to new landscape andapplications. The toolkit also provides business users with monitoring and simulation
facilities to efficiently improve their offering.
Web-based interface with guided procedures that enables business users to simulate,
control and improve offering
Session events processing, data sources and integration guided procedures enables fast
integration and extension for system integrators and partners
Monitoring tools enable IT professionals to control and manage RTOM deployment with
low TCO
RTOM
Tools
RTOM A li ti T lkit
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RTOM Applications ToolkitIntegration Manager, Monitoring & Business Tools
Integration Managerprovides System Integrators guided
procedures GUI for expanding RTOM integration to new data
sources and for configuring the engine reaction to session events
Monitoring tools enable IT professionals to control and
manage RTOM deployment in runtime
Business tools enable business professionals to review and
simulate RTOM offers
Utiliti I d t S l ti
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SAP 2008 / SAP CRM Marketing Overview, Page 36
Utilities Industry Solution
Real-Time Offer Management has a prebuilt integration with the SAP CRM_ISU solution for
Utilities, to deliver on customers demand for next best action recommendation
Utility-specific IC events extending the generic set that trigger RTOM, such as: Quotation /
Contract management interaction events and premise / service location related interaction
events
Utility-specific data objects extending the generic BP data and transactions exposed to
RTOM, such as: Contracts, Business Agreements, Premises, PODs and opened Quotations.
RTOM
IndustrySolution
C i ti I d t S l ti
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SAP 2008 / SAP CRM Marketing Overview, Page 37
Communications Industry Solution
Real-Time Offer Management has a specific extension for the SAP Communications Solution
Out-of-the-box Integration with Business Partner contract data enhances RTOMrecommendations to support Telco business logic
Out-of-the-box Integration with the Telco IC provides real time recommendations during
interactions with Telco customers
Following order creation new relevant cross/up offers detected
Next Best Action Messages
RTOM
IndustrySolution
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SAP 2010 / Page 38
Agenda
Business Environment
Business Process
Solution Overview
Value Proposition
Summary
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Summary
The Value Proposition of RTOM
Recommends optimal and relevant offers
across multiple channels
Boosts conversion rates and increases
revenues and lifetime value
Provide business insights to control and
improve offering
Business users oriented environment with low
TCO
Takeawaythe Three Is of RTOM
Intuitive
Intelligent
Integrated
Cop right 2010 SAP AG
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Copyright 2010 SAP AG
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