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Real-Time Offer Management Detailed View SAP Real-Time Offer Management 7.1 Detailed View  
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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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