This a a graduate course presentation in current marketing issues relating to BI (business intelligence). Oracle 2006 white paper was extensively referenced as well as Mr Van Den Poel's work "Identifying the slope of a customer".
Chapter 14: Impact of CRM on Marketing Channelsitsvineeth209
This document discusses the impact of customer relationship management (CRM) on marketing channels. It explores how traditional and emerging channels influence CRM strategies and opportunities and challenges around managing multi-channel customer relationships. Key topics covered include the role of channels in customer relationships, drivers of multi-channel buying behavior, and implications of new channel trends for CRM approaches.
The implementation of the RFM segmentation at Toys R Us had scheduled touch points where progress, testing approach and future developments were reviewed. This was one of those meeting with Barbara Canning Brown leading the meeting and Eleanor Hong, Harte Hankes and our analytics vendor in attendance
The document discusses customer relationship management and data mining. It provides an overview of the data mining process and applications of data mining such as reducing churn, increasing customer profitability, and reducing marketing costs. It also discusses two case studies of companies that used data mining for CRM: Credite Est, a bank in France that used it to acquire new customers, and Yapi Kredi, a bank in Turkey that used it to reduce churn.
Customer Relationship Management (CRM) involves managing all aspects of a customer's relationship with a company. It uses technologies like data warehousing, data mining, and online analytical processing to collect and analyze customer data to better understand customers and improve marketing, sales, and customer service. Leading CRM software vendors include Siebel, SAP, Oracle, and Microsoft. While CRM can improve customer retention and increase sales, it also requires significant time and financial resources to implement properly.
DMS delivers customized analytical services including descriptive profile analyses and predictive modeling to help clients improve marketing decision making. Their experienced researchers have developed models across industries to predict behaviors like response rates, conversion, revenue, and fraud. DMS works closely with clients to understand their unique needs and develop the most effective models, whether targeting prospects or enhancing current customer profiles and cross-selling. Common types of models include response, reactivation, cloning, and revenue models built using statistical techniques like logistic and multiple regression.
This document provides an overview of customer relationship management (CRM) implementation. It discusses:
1. The 8 steps to developing a CRM roadmap: gaining sponsorship, gathering information, assessing the current and future states, identifying value opportunities, linking opportunities to capabilities, defining projects/requirements, developing business cases, and creating a rollout strategy.
2. Emerging trends in CRM like near-field communication, location-based services, augmented reality, social media on mobile as a customer service channel, and next-generation mobile apps.
3. The "4Ps" of CRM roadblocks: process issues around modifying business processes, perception challenges of viewing CRM as enabling rather than mandatory, privacy concerns
Chapter 1: CRM, Database Marketing and Customer Valueitsvineeth209
CRM involves analyzing customer data to develop strong relationships and maximize customer lifetime value. It is linked to database marketing, which uses customer data to segment customers and develop tailored marketing campaigns. Rapid changes in customers, technology, and the marketplace are driving companies to adopt more customer-centric strategies like CRM to meet evolving customer needs and expectations. CRM assesses the economic value of each customer to help companies optimize profits by acquiring and retaining profitable customers over multiple interactions.
This a a graduate course presentation in current marketing issues relating to BI (business intelligence). Oracle 2006 white paper was extensively referenced as well as Mr Van Den Poel's work "Identifying the slope of a customer".
Chapter 14: Impact of CRM on Marketing Channelsitsvineeth209
This document discusses the impact of customer relationship management (CRM) on marketing channels. It explores how traditional and emerging channels influence CRM strategies and opportunities and challenges around managing multi-channel customer relationships. Key topics covered include the role of channels in customer relationships, drivers of multi-channel buying behavior, and implications of new channel trends for CRM approaches.
The implementation of the RFM segmentation at Toys R Us had scheduled touch points where progress, testing approach and future developments were reviewed. This was one of those meeting with Barbara Canning Brown leading the meeting and Eleanor Hong, Harte Hankes and our analytics vendor in attendance
The document discusses customer relationship management and data mining. It provides an overview of the data mining process and applications of data mining such as reducing churn, increasing customer profitability, and reducing marketing costs. It also discusses two case studies of companies that used data mining for CRM: Credite Est, a bank in France that used it to acquire new customers, and Yapi Kredi, a bank in Turkey that used it to reduce churn.
Customer Relationship Management (CRM) involves managing all aspects of a customer's relationship with a company. It uses technologies like data warehousing, data mining, and online analytical processing to collect and analyze customer data to better understand customers and improve marketing, sales, and customer service. Leading CRM software vendors include Siebel, SAP, Oracle, and Microsoft. While CRM can improve customer retention and increase sales, it also requires significant time and financial resources to implement properly.
DMS delivers customized analytical services including descriptive profile analyses and predictive modeling to help clients improve marketing decision making. Their experienced researchers have developed models across industries to predict behaviors like response rates, conversion, revenue, and fraud. DMS works closely with clients to understand their unique needs and develop the most effective models, whether targeting prospects or enhancing current customer profiles and cross-selling. Common types of models include response, reactivation, cloning, and revenue models built using statistical techniques like logistic and multiple regression.
This document provides an overview of customer relationship management (CRM) implementation. It discusses:
1. The 8 steps to developing a CRM roadmap: gaining sponsorship, gathering information, assessing the current and future states, identifying value opportunities, linking opportunities to capabilities, defining projects/requirements, developing business cases, and creating a rollout strategy.
2. Emerging trends in CRM like near-field communication, location-based services, augmented reality, social media on mobile as a customer service channel, and next-generation mobile apps.
3. The "4Ps" of CRM roadblocks: process issues around modifying business processes, perception challenges of viewing CRM as enabling rather than mandatory, privacy concerns
Chapter 1: CRM, Database Marketing and Customer Valueitsvineeth209
CRM involves analyzing customer data to develop strong relationships and maximize customer lifetime value. It is linked to database marketing, which uses customer data to segment customers and develop tailored marketing campaigns. Rapid changes in customers, technology, and the marketplace are driving companies to adopt more customer-centric strategies like CRM to meet evolving customer needs and expectations. CRM assesses the economic value of each customer to help companies optimize profits by acquiring and retaining profitable customers over multiple interactions.
Customer relationship management (CRM) refers to the process of creating and maintaining relationships with customers through an integrated approach. The goal of CRM is to improve customer retention and profitability by delivering enhanced customer value at each step through identifying, attracting, differentiating, and retaining customers. Key aspects of CRM include analytical CRM to gain insights from customer data, operational CRM to manage customer interactions, and collaborative CRM to facilitate information sharing. Common CRM activities involve sales force automation, customer service, marketing automation, and field service management.
The document outlines an agenda for a presentation on a standard Microsoft CRM solution for pharma companies. It includes an introduction to CDM, an overview of the standard Microsoft CRM for Pharma product, how to get started with implementation and standard data imports, and what the next activity will be. It then provides more details on the standard CRM software architecture, various pharma-specific modules like ABC segmentation, event management, key opinion leader tracking, and standard integration options for external and internal data.
This document discusses modeling customer relationships through a flexible, integrated data architecture. It describes evolving approaches to customer databases, from flat files to more sophisticated dimensional models. The key elements of a customer relationship management database are outlined, including tracking customer, product, contact and event details over time through a customer-centric model. This approach facilitates iterative questioning, contact list refinement, and integration with campaign management and analytical tools to better understand customer relationships and behavior.
Gallup is a global research consultancy specializing in employee and customer engagement with 2800 full-time employees. They focus on ethical issues like privacy, only collecting non-personal data needed for client relationships. CRM & privacy practices only collect required organizational information for outbound marketing. The study examines the relationship between CRM and privacy, finding organizations vary in privacy awareness depending on their level of CRM use and thinking.
This document discusses business-to-business (B2B) e-commerce and customer relationship management (CRM). It outlines the similarities and differences between B2B and CRM, and strategies for integrating the two. Some key benefits of integration include improved efficiency, quality, and access to supply chain information. The document also discusses a case study of B2B CRM implementation at a Turkish supermarket chain called Migros, which realized benefits like easier access to information, valid data, decreased costs, and increased sales through the integration of its operations with suppliers.
A study of Data Mining concepts used in Customer Relationship Management (CRM...IJSRD
Customer relationship management (CRM) has evolved as an approach based on generating positive relationships with customers, increasing customer loyalty, and expanding customer lifetime value [1]. To understand the needs of customers and providing value-added services are recognized as factors that regulate the success or failure of the organizations. In the recent years, technology enhancement made customer relationship easier in various fields such as marketing, sales, service and Management Information Technology [2]. To deliver customer value, there are concepts such as data mining and data warehousing with the use of technology. Even through data mining concepts, organizations can easily find out their valuable customers and helps in making better decisions. There are data mining tools which answer business questions that were time-consuming consuming in the past. These tools simplify these questions and make customer relationship management effective [3]. This researcher work is focused on understanding the consumer’s behavior for themed weddings. The themed weddings management strategies are based on technology, business and customer perspectives. The customer preferences are measured using Regency, Frequency and Monetary (RFM) method. Business strategies are defined to understand the customer preference towards themed weddings management and the technologies such as WEB 2.0 and data mining tool Weka are used. The survey technique, and thematic content analysis using data mining tools, to accomplish the goals of today’s customer relationship management philosophy for themed weddings management.
A framework for customer relationship managementVivek Gopan
1. Customer relationship management (CRM) involves using technology to organize sales, marketing, customer service and technical support to manage interactions with current and future customers.
2. Companies analyze customer purchase histories and characteristics stored in a customer information file to calculate customer lifetime value and identify the most profitable customers to target.
3. Relationship marketing programs like loyalty programs, customer satisfaction initiatives, and mass customization are used to increase customer retention, loyalty, and long-term profitability.
Protecting Margins and Creating Value in TelecomLightwell
In 2010, Communications, Media, and Entertainment (CME) businesses are becoming more confident in their revenue potential with most companies feeling the recession is behind them or nearly halfway over. To prepare for spending growth, many CME businesses plan to increase their focus on sales strategies with a keen focus on improving customer collaboration as a top priority.
However, improving customer collaboration, especially in business-to- business (B2B) selling and order scenarios, is difficult to achieve due to product portfolio and selling/ordering process complexity. Within the CME marketplace, companies are offering customers a rich array of options including products and services via multiple channels. This is good news for customers, who demand freedom of choice and ease of use. But it makes selling and order management a complex task for CME companies, which are looking to optimise these processes to increase sales performance.
Personalization and the Future of Database Marketing - Michael Stich, Bridge ...Michael Stich
The document discusses database marketing and its benefits. It defines database marketing as using consumer databases to send personalized communications. The key benefits are creating ongoing relationships with large, diverse consumer groups. Best practices include prioritizing data quality over quantity and segmenting consumers. Emerging trends include data consolidation to get a unified view of consumers and more analytics-driven marketing. The future of database marketing involves simplified, real-time access to unified data to deliver more meaningful, relevant experiences.
The Art and Science of Database(d) MarketingRobert Fulmer
Database marketing uses customer data from multiple sources to build predictive models that score and segment customers. This allows targeting the most profitable customers at each stage of the customer lifecycle, from acquisition to retention. Predictive models can achieve response rate lifts of 150% over average and 1000% from best to worst customer segments. Case studies show database marketing delivering high returns on investment, such as a 180 to 1 ROI for a health insurer targeting new customer acquisition.
Brenda Clegg has over 15 years of experience in procurement and supply chain roles. She holds a Bachelor's degree in Business and Retail Management and certifications in Six Sigma Yellow Belt and SOX. Her experience includes roles at Parker Hannifin, Boeing, Nokia Siemens Networks, Insight, Motorola, Siemens, and McKesson in areas such as purchasing, logistics coordination, and expediting. She has a proven track record of effective communication, negotiation, and problem solving to deliver results for customers.
1. The document discusses identifying and profiling high value business customers in order to develop targeted promotions to increase average revenue per user (ARPU) and profitability.
2. It examines how to assess customer relationship management (CRM) systems used to collect customer data and determine customer value through segmentation and clustering.
3. Examples are provided of tailored promotions that were developed for high value business customers based on their needs and behaviors.
Customer Relationship Management (CRM) has grabbed the attention of both practice and research in the past decade, developing into an area of major significance. The focus of the CRM concept is to build a long-term and value-added relationship for both the organisation and customers. Governments – although considered late followers compared to the private industry – have been showing growing interest in CRM systems recently to help public and government agencies track and manage relationships with their constituents. In this article, we review existing literature to provide an understanding of the field. We also present a proposed CRM framework based on literature review and practice work. The proposed framework is envisaged to act as a practical management tool that provides a holistic overview of implementation phases, components of each phase, and associate critical success factors.
The House of Marketing, Belgium's first centre of marketing expertise, shows you an introduction and short guide to customer segmentation, including four options and simple steps to deliver measurable benefits through segmentation. Contact: www.thom.eu
Marketing process optimization technologies are emerging everywhere. Yet none address all of the needs a corporate marketer has and none fit the definition of a complete, integrated enterprise marketing management system. But that doesn't mean you shouldn't start implementing EMM today.
Database marketing, part 1 roadmap to successRelevate
This document provides an overview and roadmap for database marketing. It discusses:
- The key components of database marketing including data preparation, campaign management, and reporting/analytics
- The importance of data organization, hygiene, enhancement, and regular updating
- How to develop a campaign strategy using customer data and reports
- Whether to build a database marketing solution in-house or outsource to a vendor
- An overview was given to prepare for two upcoming webinars on marketing analytics and campaign management.
Otaniemi.fi services. Northern Europe's biggest hitech hub. Nanotechnology. Gamining. New materials. Smart Machines. Mobile and wireless technologies. Birthplace of MySQL. Loads of world's firsts in mobile technologies. Big Data. Nokia. Angry Birds. Kone corporation. Startup Sauna. Samsung Research.
Customer relationship management (CRM) refers to the process of creating and maintaining relationships with customers through an integrated approach. The goal of CRM is to improve customer retention and profitability by delivering enhanced customer value at each step through identifying, attracting, differentiating, and retaining customers. Key aspects of CRM include analytical CRM to gain insights from customer data, operational CRM to manage customer interactions, and collaborative CRM to facilitate information sharing. Common CRM activities involve sales force automation, customer service, marketing automation, and field service management.
The document outlines an agenda for a presentation on a standard Microsoft CRM solution for pharma companies. It includes an introduction to CDM, an overview of the standard Microsoft CRM for Pharma product, how to get started with implementation and standard data imports, and what the next activity will be. It then provides more details on the standard CRM software architecture, various pharma-specific modules like ABC segmentation, event management, key opinion leader tracking, and standard integration options for external and internal data.
This document discusses modeling customer relationships through a flexible, integrated data architecture. It describes evolving approaches to customer databases, from flat files to more sophisticated dimensional models. The key elements of a customer relationship management database are outlined, including tracking customer, product, contact and event details over time through a customer-centric model. This approach facilitates iterative questioning, contact list refinement, and integration with campaign management and analytical tools to better understand customer relationships and behavior.
Gallup is a global research consultancy specializing in employee and customer engagement with 2800 full-time employees. They focus on ethical issues like privacy, only collecting non-personal data needed for client relationships. CRM & privacy practices only collect required organizational information for outbound marketing. The study examines the relationship between CRM and privacy, finding organizations vary in privacy awareness depending on their level of CRM use and thinking.
This document discusses business-to-business (B2B) e-commerce and customer relationship management (CRM). It outlines the similarities and differences between B2B and CRM, and strategies for integrating the two. Some key benefits of integration include improved efficiency, quality, and access to supply chain information. The document also discusses a case study of B2B CRM implementation at a Turkish supermarket chain called Migros, which realized benefits like easier access to information, valid data, decreased costs, and increased sales through the integration of its operations with suppliers.
A study of Data Mining concepts used in Customer Relationship Management (CRM...IJSRD
Customer relationship management (CRM) has evolved as an approach based on generating positive relationships with customers, increasing customer loyalty, and expanding customer lifetime value [1]. To understand the needs of customers and providing value-added services are recognized as factors that regulate the success or failure of the organizations. In the recent years, technology enhancement made customer relationship easier in various fields such as marketing, sales, service and Management Information Technology [2]. To deliver customer value, there are concepts such as data mining and data warehousing with the use of technology. Even through data mining concepts, organizations can easily find out their valuable customers and helps in making better decisions. There are data mining tools which answer business questions that were time-consuming consuming in the past. These tools simplify these questions and make customer relationship management effective [3]. This researcher work is focused on understanding the consumer’s behavior for themed weddings. The themed weddings management strategies are based on technology, business and customer perspectives. The customer preferences are measured using Regency, Frequency and Monetary (RFM) method. Business strategies are defined to understand the customer preference towards themed weddings management and the technologies such as WEB 2.0 and data mining tool Weka are used. The survey technique, and thematic content analysis using data mining tools, to accomplish the goals of today’s customer relationship management philosophy for themed weddings management.
A framework for customer relationship managementVivek Gopan
1. Customer relationship management (CRM) involves using technology to organize sales, marketing, customer service and technical support to manage interactions with current and future customers.
2. Companies analyze customer purchase histories and characteristics stored in a customer information file to calculate customer lifetime value and identify the most profitable customers to target.
3. Relationship marketing programs like loyalty programs, customer satisfaction initiatives, and mass customization are used to increase customer retention, loyalty, and long-term profitability.
Protecting Margins and Creating Value in TelecomLightwell
In 2010, Communications, Media, and Entertainment (CME) businesses are becoming more confident in their revenue potential with most companies feeling the recession is behind them or nearly halfway over. To prepare for spending growth, many CME businesses plan to increase their focus on sales strategies with a keen focus on improving customer collaboration as a top priority.
However, improving customer collaboration, especially in business-to- business (B2B) selling and order scenarios, is difficult to achieve due to product portfolio and selling/ordering process complexity. Within the CME marketplace, companies are offering customers a rich array of options including products and services via multiple channels. This is good news for customers, who demand freedom of choice and ease of use. But it makes selling and order management a complex task for CME companies, which are looking to optimise these processes to increase sales performance.
Personalization and the Future of Database Marketing - Michael Stich, Bridge ...Michael Stich
The document discusses database marketing and its benefits. It defines database marketing as using consumer databases to send personalized communications. The key benefits are creating ongoing relationships with large, diverse consumer groups. Best practices include prioritizing data quality over quantity and segmenting consumers. Emerging trends include data consolidation to get a unified view of consumers and more analytics-driven marketing. The future of database marketing involves simplified, real-time access to unified data to deliver more meaningful, relevant experiences.
The Art and Science of Database(d) MarketingRobert Fulmer
Database marketing uses customer data from multiple sources to build predictive models that score and segment customers. This allows targeting the most profitable customers at each stage of the customer lifecycle, from acquisition to retention. Predictive models can achieve response rate lifts of 150% over average and 1000% from best to worst customer segments. Case studies show database marketing delivering high returns on investment, such as a 180 to 1 ROI for a health insurer targeting new customer acquisition.
Brenda Clegg has over 15 years of experience in procurement and supply chain roles. She holds a Bachelor's degree in Business and Retail Management and certifications in Six Sigma Yellow Belt and SOX. Her experience includes roles at Parker Hannifin, Boeing, Nokia Siemens Networks, Insight, Motorola, Siemens, and McKesson in areas such as purchasing, logistics coordination, and expediting. She has a proven track record of effective communication, negotiation, and problem solving to deliver results for customers.
1. The document discusses identifying and profiling high value business customers in order to develop targeted promotions to increase average revenue per user (ARPU) and profitability.
2. It examines how to assess customer relationship management (CRM) systems used to collect customer data and determine customer value through segmentation and clustering.
3. Examples are provided of tailored promotions that were developed for high value business customers based on their needs and behaviors.
Customer Relationship Management (CRM) has grabbed the attention of both practice and research in the past decade, developing into an area of major significance. The focus of the CRM concept is to build a long-term and value-added relationship for both the organisation and customers. Governments – although considered late followers compared to the private industry – have been showing growing interest in CRM systems recently to help public and government agencies track and manage relationships with their constituents. In this article, we review existing literature to provide an understanding of the field. We also present a proposed CRM framework based on literature review and practice work. The proposed framework is envisaged to act as a practical management tool that provides a holistic overview of implementation phases, components of each phase, and associate critical success factors.
The House of Marketing, Belgium's first centre of marketing expertise, shows you an introduction and short guide to customer segmentation, including four options and simple steps to deliver measurable benefits through segmentation. Contact: www.thom.eu
Marketing process optimization technologies are emerging everywhere. Yet none address all of the needs a corporate marketer has and none fit the definition of a complete, integrated enterprise marketing management system. But that doesn't mean you shouldn't start implementing EMM today.
Database marketing, part 1 roadmap to successRelevate
This document provides an overview and roadmap for database marketing. It discusses:
- The key components of database marketing including data preparation, campaign management, and reporting/analytics
- The importance of data organization, hygiene, enhancement, and regular updating
- How to develop a campaign strategy using customer data and reports
- Whether to build a database marketing solution in-house or outsource to a vendor
- An overview was given to prepare for two upcoming webinars on marketing analytics and campaign management.
Otaniemi.fi services. Northern Europe's biggest hitech hub. Nanotechnology. Gamining. New materials. Smart Machines. Mobile and wireless technologies. Birthplace of MySQL. Loads of world's firsts in mobile technologies. Big Data. Nokia. Angry Birds. Kone corporation. Startup Sauna. Samsung Research.
Dokumen tersebut membahas tentang peningkatan hasil belajar matematika siswa melalui penerapan asesmen kinerja. Asesmen kinerja merupakan salah satu penilaian alternatif yang dapat digunakan untuk mengukur kinerja siswa dalam memahami dan memecahkan masalah matematika dengan cara mendemonstrasikan kemampuan mereka. Asesmen kinerja diharapkan dapat membantu siswa dalam membangun pengetahuan matematika mere
What has Facebook ever done for Business (Roger Christie - Propel)Roger Christie
This document discusses how business leaders often perceive social media as individual channels like Facebook or LinkedIn rather than capabilities. It argues that social capabilities, which include customer care, marketing, sales, production and HR functions improved by social data and tools, are what will deliver business value rather than any single channel. The document provides examples of how companies like KLM and Qantas Government have successfully used social capabilities to improve business performance across different areas rather than just adding new channels.
Otaniemi Northern Europe's Biggest Hitech Hub. Home of Startup sauna, World HQ's of Rovio, Nokia, Kone, Fortum, Neste Oil. Local HQ's of Microsoft, SAP, HCL, Bayer. 800+ companies, 36,000 professionals, 5,000 researchers. 25 Research institutions. More than one new fundable startup per week.
The document discusses using database marketing techniques to enhance one-to-one marketing initiatives. It describes how database marketing aims to identify customers and prospects as individuals in order to build continuing relationships for mutual benefit. Specifically, it outlines the RFM (recency, frequency, monetary) technique for analyzing customer transaction data to segment customers based on their past purchasing behavior, with the goal of predicting future behavior and targeting the most profitable customer segments.
The document provides an overview of chapters 9.1 and 9.2 from the textbook "Business Driven Information Systems 2e".
Chapter 9.1 discusses customer relationship management (CRM), including operational CRM which supports front-office customer interactions, and analytical CRM which supports back-office analysis. It describes how different departments can use CRM technologies and metrics.
Chapter 9.2 discusses business intelligence (BI) which analyzes data to support decision making. It describes the challenges of managing large data volumes and how BI can provide reliable, consistent insights through operational, tactical and strategic analysis. Data mining tools are used to find patterns in large datasets.
presented by Rob Bentley and Paul Reiman of Hewitt Associates at the TrueConnection 2008 Sales Performance Management Conference, hosted by Callidus Software
The document discusses customer relationship management (CRM) strategies and the use of data in CRM. It describes the C-MAT model for customer management, which involves understanding customer value, behavior and attitudes. It also discusses integrating customer data into CRM strategies using tools like data warehousing and data mining to collect and analyze large amounts of customer data. The document provides examples of how companies can use data mining techniques like correlation, segmentation and propensity analysis to gain insights into customers.
Ch 1 and 2 Dwyer and Tanner Business MarketingSteven Kluber
This document provides an introduction to business marketing. It defines business marketing as marketing products and services to other businesses, government bodies, and institutions. Key differences from consumer marketing include derived demand, more personal buyer-seller relationships, shorter distribution channels, emphasis on personal selling, greater web integration, more customization, and smaller customer bases. The document also discusses business customers, classifying goods, demand, myths about marketing, marketing management and planning, relationship marketing, types of relationships, phases of relationship development, and safeguarding relationships.
Dwyer and Tanner Business Marketing Chapter 1 and 2Steven Kluber
This document provides an introduction to business marketing. It defines business marketing as marketing products and services to other businesses, government bodies, and institutions. Key differences from consumer marketing include derived demand, more personal buyer-seller relationships, shorter distribution channels, emphasis on personal selling, greater web integration, more customization, and smaller customer bases. The document also discusses business customers, classifying goods, demand, myths about marketing, marketing management and planning, relationship marketing, types of relationships, phases of relationship development, and safeguarding relationships.
MIS 13 Customer Relationship ManagementTushar B Kute
The slides are created for 'Management Information System' subject of SEIT under University of Pune, INDIA.
Subject Teacher: Mr. Tushar B Kute,
Sandip Institute of Technology and Research Centre, Nashik.
Help drive business growth and long-term sustainability and infrastructure through:
Connecting the dots between product, sales, marketing, and technology
Defining a strategic product-market fit and go-to-market strategy
Strategic sales enablement
Deploy and maximize use of technology and marketing automation
This document summarizes key points from Chapter 10 on relationship marketing, information technology, and sales forecasting. It discusses how relationship marketing focuses on developing long-term links with customers for mutual benefit. Information technology enables collecting customer data and using it to target customers more efficiently. Sales forecasting methods include executive judgement, surveys, time series analysis, and market tests to estimate a company's expected sales over different periods.
This document discusses how to leverage automated demand generation for marketing performance and ROI. It emphasizes using customer data and analytics to personalize marketing communications through multi-step, multi-modal nurturing campaigns. This approach aims to efficiently move leads through different statuses from suspect to qualified by engaging them with the right messages at the right time through various channels. It also stresses measuring performance to continuously improve campaigns and generate more qualified leads.
As a former marketing professor and current direct, social media and digital marketing consultant, I am often asked about old school direct marketing and its rules, terms and analytics.
I created this simple direct marketing primer for a client who was looking to enter the direct mail space.
About the author:
Jim Gilbert, is the CEO of Gilbert Direct Marketing, Inc, and President of The non-profit networking and education organization - The Florida Direct Marketing Association.
Jim is a former adjunct Professor of Marketing teaching at Miami International University.
He can be reached at jim@gilbertdirectmarketing.com, or follow him on twitter: @gilbertdirect. or Linkedin: www.linkedin.com/in/jimwgilbert/en
This document provides an overview of customer relationship management (CRM). It discusses the history and evolution of the CRM market, including major vendors. CRM involves using technology to manage relationships with customers by understanding their needs and preferences on an individual level. The document defines CRM, discusses drivers for adopting CRM applications like increasing revenue and reducing costs, and examines the size and structure of the CRM industry. It also explores key technologies used for CRM tasks, considerations for ROI of CRM projects, principles and issues of CRM, and provides case studies of companies that have implemented CRM.
Mutliplying Results Throughout the Buyers Journey - Pardot Users ConferencePardot
The document discusses strategies for maximizing results across all touchpoints in a buyer's journey. It emphasizes the importance of:
1) Clearly defining the target market and validating the definition.
2) Combining databases and cleaning data to improve targeting.
3) Identifying priority segments to focus on that will result in the highest number of quality leads.
This document provides an overview of a lecture on Customer Relationship Management (CRM). It begins with an agenda that includes defining ERP, an overview and demos of CRM from an application perspective, and a hands-on lab component using Microsoft CRM. It then discusses key CRM concepts like the shift from transactions to long-term customer relationships and learning. Implementation tasks for CRM like identifying, differentiating, interacting with, and customizing for individual customers are presented. Examples of operational and analytical CRM software from PeopleSoft are demonstrated. The role of predictive analytics in CRM is also explained.
Etail Presentation Feb 22 320 Pm Email Summit Rev3ajaug06
This document discusses HP's new approach to customer segmentation using personas. It outlines struggles with traditional RFM segmentation and the need for a 360-degree view of each customer. The approach involved identifying customer core values, attitudinal measurements, and behavioral differences to develop three distinct customer personas. Testing showed lift in conversion and revenue from personalized campaigns tailored to each persona. Next steps include expanding analytics, building personalized experiences, and continuously iterating the persona definitions.
This document introduces MarketGEM, a data fusion process that combines internal customer data with external data sources to develop a 360-degree view of customers. It summarizes how MarketGEM can be used to better understand customer segments, identify best customers and potential clones, and uncover new business opportunities through enhanced data analysis and targeted market research. Case studies show how MarketGEM has helped organizations increase sales, reduce churn, and improve marketing effectiveness.
This document summarizes the results of a conjoint analysis study conducted to identify the optimal design and marketing strategy for a web-based newsletter development system called Newsletter OnDemand. The study found that financial advisors prefer a low price, branding from well-known companies, email reports on readership, and a high level of customization. Further analysis identified preferences varied based on advisor demographics. The recommendations are to design a product priced at $250, branded by Standard & Poor's, including readership reports, and allowing full customization. Additional exploratory research is also recommended to refine the product before further testing.
The twin goals of customer research: inspire designers, persuade stakeholdersRashmi Sinha
The document discusses strategies for customer research to both inspire designers and persuade stakeholders. It provides examples of different interaction patterns - co-opt, pre-empt, and combat - and case studies applying each pattern. Key recommendations include being flexible in research methods, validating findings, and delivering data tailored for both designers and business stakeholders.
Similar to Marketing Info Systems class at Johns Hopkins Univ. (20)
This document provides an overview of wound healing, its functions, stages, mechanisms, factors affecting it, and complications.
A wound is a break in the integrity of the skin or tissues, which may be associated with disruption of the structure and function.
Healing is the body’s response to injury in an attempt to restore normal structure and functions.
Healing can occur in two ways: Regeneration and Repair
There are 4 phases of wound healing: hemostasis, inflammation, proliferation, and remodeling. This document also describes the mechanism of wound healing. Factors that affect healing include infection, uncontrolled diabetes, poor nutrition, age, anemia, the presence of foreign bodies, etc.
Complications of wound healing like infection, hyperpigmentation of scar, contractures, and keloid formation.
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
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Webinars: https://pecb.com/webinars
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How to Setup Warehouse & Location in Odoo 17 InventoryCeline George
In this slide, we'll explore how to set up warehouses and locations in Odoo 17 Inventory. This will help us manage our stock effectively, track inventory levels, and streamline warehouse operations.
A Visual Guide to 1 Samuel | A Tale of Two HeartsSteve Thomason
These slides walk through the story of 1 Samuel. Samuel is the last judge of Israel. The people reject God and want a king. Saul is anointed as the first king, but he is not a good king. David, the shepherd boy is anointed and Saul is envious of him. David shows honor while Saul continues to self destruct.
How Barcodes Can Be Leveraged Within Odoo 17Celine George
In this presentation, we will explore how barcodes can be leveraged within Odoo 17 to streamline our manufacturing processes. We will cover the configuration steps, how to utilize barcodes in different manufacturing scenarios, and the overall benefits of implementing this technology.
Walmart Business+ and Spark Good for Nonprofits.pdfTechSoup
"Learn about all the ways Walmart supports nonprofit organizations.
You will hear from Liz Willett, the Head of Nonprofits, and hear about what Walmart is doing to help nonprofits, including Walmart Business and Spark Good. Walmart Business+ is a new offer for nonprofits that offers discounts and also streamlines nonprofits order and expense tracking, saving time and money.
The webinar may also give some examples on how nonprofits can best leverage Walmart Business+.
The event will cover the following::
Walmart Business + (https://business.walmart.com/plus) is a new shopping experience for nonprofits, schools, and local business customers that connects an exclusive online shopping experience to stores. Benefits include free delivery and shipping, a 'Spend Analytics” feature, special discounts, deals and tax-exempt shopping.
Special TechSoup offer for a free 180 days membership, and up to $150 in discounts on eligible orders.
Spark Good (walmart.com/sparkgood) is a charitable platform that enables nonprofits to receive donations directly from customers and associates.
Answers about how you can do more with Walmart!"
Level 3 NCEA - NZ: A Nation In the Making 1872 - 1900 SML.pptHenry Hollis
The History of NZ 1870-1900.
Making of a Nation.
From the NZ Wars to Liberals,
Richard Seddon, George Grey,
Social Laboratory, New Zealand,
Confiscations, Kotahitanga, Kingitanga, Parliament, Suffrage, Repudiation, Economic Change, Agriculture, Gold Mining, Timber, Flax, Sheep, Dairying,
Beyond Degrees - Empowering the Workforce in the Context of Skills-First.pptxEduSkills OECD
Iván Bornacelly, Policy Analyst at the OECD Centre for Skills, OECD, presents at the webinar 'Tackling job market gaps with a skills-first approach' on 12 June 2024