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C u s to m er R elatio n s h ip Man ag em en t Annie POSTIC - Program Manager SAS Institute Europe Agenda • • • • • Customer Relationship Management The SAS Solution for CRM The SAS CRM Methodology Real-Life Examples The Route to Successful CRM Copyright 1998 by SAS Institute Agenda ➪ Customer Relationship Management • The SAS Solution for CRM • The SAS CRM Methodology • Real-Life Examples • The Route to Successful CRM Copyright 1998 by SAS Institute What is the goal of CRM ? • Build long term and profitable relationships with chosen customers • Get closer to those customers at every point of contact with them Copyright 1998 by SAS Institute Where does CRM come from ? • First generation of Database Marketing (70-80s) – Direct marketing activities – Predict response rate / reduce cost, generate target flat files ➪ Tactical • Second generation of Database Marketing (90s) – All marketing activities – Reduce acquisition cost and improve retention – Technology : Relational database, analytical tools, data warehousing ➪ Strategic Copyright 1998 by SAS Institute Source: Modified from Gartner group Where does CRM come from ? • Customer relationship Management (y2000) – – – – Touch the entire organization Ensure customer profitability Additional technology : Scalable hardware, Data Mining Data used : All customer interactions (all operational data) ➪Competitive advantage Source: Modified from Gartner group Copyright 1998 by SAS Institute Business situation • Market – – – – – reaching saturation increasing competition deregulation, diversification, worldwide market new communication / distribution channels decreasing product life cycles • Customer – decreasing natural loyalty – better informed – increased expectations/needs • Resources – increasing costs – decreasing resources available Copyright 1998 by SAS Institute What is CRM ? • Customer Relationship Management is an automated and continuous process of better understanding and anticipating customer needs, behavior and profitability to : – define your customer strategy – optimize resources – provide a superior service at every point of contact with the customer ➪ A re-engineering of the business to focus all its resources on chosen customers. Copyright 1998 by SAS Institute The need : Customer Oriented Strategy Differentiated Customer strategy Customer oriented business process Technology / implementation Goal : Define the differentiated customers strategies Need : Understand and optimize a customer oriented business process Mean : Technology implementation Copyright 1998 by SAS Institute Differentiated Customer Strategy Prospects Winback Retention Churn Acquisition Customer Loyalty Lifetime profitability Aim : Select the right strategy for chosen customers Copyright 1998 by SAS Institute Differentiated Customer Strategy Profitability Customer expectations Risk identify optimum balance Why is understanding customer profitability important? Studies by First Manhattan Group have indicated that : while 20% of a bank’s customers contribute 150% of the profits, 40-50% of customers eliminate 50% of the profits Source: First Manhattan Consulting Group Copyright 1998 by SAS Institute Why is customer retention and loyalty important ? Annual customer profit Price premium Referrals Cost savings Revenue growth Base profit Acquisition cost 0 1 2 3 4 5 Year Copyright 1998 by SAS Institute Adapted from “The Loyalty Effect” Frederick F. Reichheld 1996 Customer Oriented Business Process Marketing CUSTOMER KNOWLEDGE Management Marketing TARGET MEASURE MONITOR Call centers Direct marketing Customer Customer service ACTIVATE AFTER SALES SUPPORT Logistics DELIVERY Call centers, Sales QUALIFY / SELL Aim : Manage and optimize this process ! Copyright 1998 by SAS Institute Customer Oriented Business Process Manage and optimize this process ! • Ensure consistency between different points of contact • Increase communication between departments • Facilitate flows of information • Deliver complete view of the customer Copyright 1998 by SAS Institute Agenda • Customer Relationship Management ➪ The SAS Solution for CRM • The SAS CRM Methodology • Real-Life Examples • The Route to Successful CRM Copyright 1998 by SAS Institute The SAS solution for CRM The SAS CRM Solution delivers a process for identifying, targeting, and responding to the needs of your most profitable customers. Customer Oriented Business Process Manage and optimize this process ! 2 Strategic 3 Tactical Marketing Marketing Gain Customer Knowledge 5 Measure Monitor Follow up Management Copyright 1998 by SAS Institute Target Optimize campaigns 1 Customer View 4 Operational Campaigns management Call centres Sales Logistics Customer service WEB Enterprise wide Customer view Strategic Tactical Customer Measure Operation Integrate data from many sources Transaction Data Loyalty data Market research Customer service Custome r View Web Sites Surveys Enterprise Data Warehouse Life style data Call centres Copyright 1998 by SAS Institute Campaigns data Enterprise wide Customer view Strategic Data Warehouse Composition Tactical Customer Measure Operation Responses 2% Segments 10% Scores 20% Transactions 35% Contacts 10% Accounts 3% Copyright 1998 by SAS Institute Demographics 20% Source: Patricia Seybold Group Enterprise wide Customer view Strategic Ensure consistency Add valuable information Tactical Customer Measure Operation Loyalty data Transaction Data Customer service Web Sites Call centres Campaigns data Life style data Market research Surveys Copyright 1998 by SAS Institute Clean Consistency De-duplicate Validate Summarize Quality Profitability factors Householding Predictive Models Custome r View Enterprise Data Warehouse Enterprise wide Customer view Strategic Get the complete picture of the customer Tactical Customer Measure Operation ● Enabling technologies ➪ Data Warehousing – – – – – – – – Copyright 1998 by SAS Institute Access to all types of data Integrate data Data cleaning Data enhancement Data calculation Document data flows Metadata management ... SAS/Warehouse Administrator Strategic Strategic Tactical Customer Measure Gain customer knowledge Operation • What are my key customer groups ? • On which group should I concentrate my actions and investments ? • What is the profile of customer that have left ? • Which product customer needs ? • How can I optimize point of sales ? • What the value of our products / services to our customers compared to competition ? Copyright 1998 by SAS Institute Strategic Strategic Gain customer knowledge Tactical Customer Measure Operation ● Enabling technologies ➪ Reporting – – Standard reporting WEB ➪ Data Mining – – – – – Copyright 1998 by SAS Institute Customer segmentation Customer profiling Profitability analysis Market research Competition analysis Tactical Strategic Tactical Predict customer behaviour Customer Measure • Which customers are likely to leave ? • Which customers are good candidates for cross or up selling activities ? • What is the customer potential ? • How can I optimize campaigns ? • Which customer are more likely to respond ? • Which communication channel ? • What’s the expected response rate ? Copyright 1998 by SAS Institute Tactical Strategic Tactical Predict customer behaviour Customer Measure ● Enabling technologies ➪ Data Mining – – – – Behavioral modeling Potential analysis Cross selling analysis Retention / Churn analysis ➪ Queries – Copyright 1998 by SAS Institute Target selections Operational Strategic Tactical Customer Measure Operation Optimize operations / channel to market efficiency • • • • • • • Copyright 1998 by SAS Institute Campaigns management Call centres Sales Logistics Customer service WEB ... Operational Strategic Optimize operations / channel to market efficiency Tactical Customer Measure Operation • Operations / Channel to market • • • • • How to increase business units efficiency ? How to make the customer feel recognized ? What is the optimal number of people ? How to increase E-commerce performance ? Which additional strategic information do they need to be more efficient ? Operational Strategic Optimize operations / channel to market efficiency Tactical Customer Measure Operation ● Enabling technologies ➪ Queries/Reporting – – Performance indicators Exception reporting ➪ WEB – Deliver customer information to business units ➪ Data Mining – – – – Copyright 1998 by SAS Institute Sales analysis Web analysis Call behavior analysis Campaign analysis Traffic analysis and prediction Measure / Monitor Strategic Monitor performance Tactical Customer Measure Operation • • • • Copyright 1998 by SAS Institute How satisfied are our customers our product/service? What is the rate of customer defection? What is the campaign’s impact ? Is target reached ? Measure / Monitor Strategic Monitor performance Tactical Customer Measure Operation ● Enabling technologies ➪ Reporting – – – – – Copyright 1998 by SAS Institute Performance monitoring Key performance indicators Exception reporting Customer satisfaction measures Service process monitoring The SAS solution for CRM Enables companies to : À build a customer centric view À define comprehensive and consistent customer profiles to better understand customer needs, behavior and profitability À assess customer lifetime value À predict selected customers’ behavior À act on and share the relevant information through your organization Agenda • Customer Relationship Management • The SAS Solution for CRM ➪ The SAS CRM Methodology • Real-Life Examples • The Route to Successful CRM Copyright 1998 by SAS Institute SAS CRM Methodology • What is it ? ➪ A structured process that defines how the SAS solution for CRM can support definition, planning and execution of CRM programs. ➪ Provide a best practice guide for Customer Relationship • Target audience: ➪ CRM Project Managers ➪ CRM Solution Architects SAS CRM methodology topics • Methodology contains : ➪ CRM overview ➪ Technology and architecture ➪ Project role descriptions ➪ For each step ➪ Activities ➪ Roles involved ➪ Techniques ➪ Inputs & Outputs ➪ Reference ➪ Templates and questionnaires SAS CRM methodology Process flow Assessment Establish Goal Review Determine Readiness Develop Project Plan Awareness Review Create Customer View Execute Take Corporate Actions Report on Customers Understanding Feedback The Results Define Strategy Analyze Results Segment & Profile Design Build Build Business Program Components Build Predictive Model Build IT Systems Create Business Plan Create IT Plans Design Business Program Design IT Systems Gain Additional Understand SAS CRM methodology Phase deliverables Phase Assessment Awareness Understanding Design Build Execution Review Deliverables • Project proposal • Customer view data warehouse • Customer reports • Customer segments • Strategy definition • Business plan • IT plan • Program and IT designs • Predictive models • IT systems • Program components • Test implementation • Program execution and follow-up • Return on investment analysis • Strategy review Agenda • Customer Relationship Management • The SAS Solution for CRM • The SAS CRM Methodology ➪ Real-Life Examples • The Route to Successful CRM Copyright 1998 by SAS Institute Stakis Stakis, with over 2 million guests and members of 22 casinos, 55 hotels and more than 70 leisure clubs, has chosen the SAS System to develop a data warehouse used as the basis for its customer relationship management activities. Mr Mike Ashton, Stakis marketing director explains : ”We have strengthened brand awareness and loyalty while reaping fairly significant increases in productivity and profitability within 12 months - through targeting of direct mail and other promotional activities, areas which were already highly effective”. Copyright 1998 by SAS Institute Statoil Statoil use the SAS System for campaign management to help sales and product managers design a campaign so that it reaches the right people with the right message. Mr Per Ostergaard Jacobsen, the database marketing manager says : ”Managers now have the information they need to make decision on new campaigns. This is all about effectively use of marketing money. Previously, for example, if a mailshot was sent to 100,000 people, we were satisfied with a response of 2% (2,000 customers). Now, we reduce the number of mailshots sent out to 20,000, but we achieve a response rate of 20 % (4,000 customers).” Copyright 1998 by SAS Institute Generale de Bank Yves Ronsse, Director of Marketing Support Systems: "Access to information is not enough; you have to be able to use it and transform it into actions which have an impact on profits. A successful data warehouse questions the existing structures and relationships and introduces a new dynamic into an organisation. Every day, the SAS Data Warehouse enables our Marketing specialists to augment the quality of their decisions." Copyright 1998 by SAS Institute Savacentre “From the Managing Director down through the organisation we are expecting many levels of user for the system. It will help us to develop customer loyalty, optimise our product sales and, we hope to increase our market penetration” Copyright 1998 by SAS Institute European SAS CRM successes include : ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● 3 Suisses, Belgium Generale de Banque, Belgium Halifax, UK Savacentre, UK Royal Bank of Scotland, UK Reader’s Digest, UK Telia, Sweden C_link, France Postbank, Netherlands Neckermann Versandhaus, Germany UBS / Swiss Life, Switzerland Mediapost, France Mondadori, Italy ABB & CERA, Belgium Deutsche Sparkassenverlag, Germany ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● Banca Popolare di Lodi, Italy G.B., Belgium L.C.M., Belgium Fiat, Italy Commercial Italia, Italy Credit Italiano, Italy Good Year, Belgium Belgacom, Belgium Luftansa, Germany Sofinco, France Valio, Finland KLM, Holland CACI, UK Colruyt, Belgium … US SAS CRM successes include : ● ● ● ● ● ● ● ● ● ● ● ● ● ● Fist union MNBA Williams Sonoma Mellon Bank First card Sara Lee US West CitiBank Revlon Federal Express Munich Reinsurance Company of Canada Calgon Philip Morris ... Agenda • Customer Relationship Management • The SAS Solution for CRM • The SAS CRM Methodology • Real-Life Examples ➪ The Route to Successful CRM Copyright 1998 by SAS Institute Benefits of the SAS solution for CRM • • • • • • • • Decision support integration Scalability Flexibility Distributed processing Data integration Operational system feedback Experience Services / implementation S uccess factors for C R M projects • Decision support solution – Build the customer information database – Enhance customer knowledge • Integrated software – Increase communication between departments – Increase communication between software • Identify the priority – Start focused – Rapid return on investment • Project team – – – – Business experts IT experts Data miners Architects • Company strategic decision – CEO implication – increase communication – potential re-engineering Conclusion • Managing relationships with customers is a key issue for most business areas • CRM is a strategic enterprise goal, not an individual initiative • SAS Institute and its partners are providing solutions to make these customer relationships more effective and profitable • CRM is an area where close cooperation of the IT and business units is key Copyright 1998 by SAS Institute Thank you for your attention ! 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