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rfm

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Published By: IBM Software     Published Date: Sep 13, 2011
Discover how a company might identify its best or most valuable customers.
Tags : 
ibm, customer service, analytics software, database, spss, rfm, monetary value analysis
    
IBM Software
Published By: IBM     Published Date: Aug 07, 2012
View this demo to find out how IBM SPSS® solutions for predictive customer analytics can deliver deep customer insights that help you tune your marketing efforts-effectively and efficiently attracting new customers, nurturing customer relationships and retaining ideal customers. Watch how IBM SPSS software uses existing customer information to help you do the following: Identify your best customers for targeted marketing programs with customer segmentation, cluster and profiling techniques; confidently predict which customers will respond to your offers with powerful predictive models; get more out of every customer interaction by delivering real-time, predictive intelligence to front-line decision makers; and enrich and deepen your customer insight with social media analytics.
Tags : 
predictive customer analytics, ibm, decision management, consumer insight, customer, crm, customer relationship management, retain customer, grow relationships, rfm analysis, business intelligence, customer wants, crm & customer care
    
IBM
Published By: SPSS Inc.     Published Date: Mar 15, 2010
This paper focuses on six myths that surround direct marketing best practices and discusses how you can use specific analytical techniques and tools to beat these myths, increase response rates and boost ROI.
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spss, direct marketing software, campaign optimization, response rate, roi, segmentation, cluster analysis, customer persona, rfm, testing, prospect profiling, purchase score, postal code analysis, up-sell, cross sell, web analytics
    
SPSS Inc.
Published By: Evergage, Inc.     Published Date: Apr 17, 2014
As marketers, we’ve come to depend on RFM – recency, frequency, and monetary value – as a factor in creating personalized engagements with customers. But while RFM can help you deliver personalized experiences, it rarely delivers on the increasingly critical promise of real-time marketing. RFM only provides marketers with a partial slice of the customer view. It only tells a portion of the story. At Evergage, we look beyond RFM and apply a different formula – RPI, or Relationship, Persona, and Intent. Together, these identifiers offer you a more immediately actionable view of the customer.
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evergage, marketing technology, rpi, rfm, real time, real time marketing, customer experience, online marketing, internet marketing
    
Evergage, Inc.
Published By: Bronto     Published Date: Jul 16, 2012
Email marketers should be leveraging the use of Recency, Frequency, Monetary (RFM) analysis to uncover optimal segments and untapped opportunities within their email marketing program. Email marketing provides real time data about subscriber behavior, which is ideal for RFM analysis. In order to use each metric fully we will focus on the undeniable power of Recency first.
Tags : 
bronto, marketing, email marketing, marketing campaigns, social media, customer, customer experience/engagement, market research, email marketing services/software, list management
    
Bronto
Published By: Bronto     Published Date: Jul 16, 2012
Welcome to Part 2 of our series where we explore the many opportunities yielded by integrating Recency, Frequency, Monetary(RFM) analysis into your email marketing program in order to lift your pivotal Key Performance Indicators (KPIs). Download Part 2 to learn more.
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bronto, marketing, email marketing, marketing campaigns, social media, customer, customer experience/engagement, email marketing services/software, list management
    
Bronto
Published By: Bronto     Published Date: Jul 16, 2012
The third and final piece in our RFM series highlights multiple email marketing strategies for analyzing a subscriber's Monetary value. As proven over many years with RFM analysis, marketers know that their highest spending customer segment is statistically more likely to spend again than their lower performing spending segments.
Tags : 
bronto, marketing, email marketing, marketing campaigns, social media, customer, customer experience/engagement, market research, email marketing services/software, list management
    
Bronto
Published By: SPSS     Published Date: Jun 29, 2009
This paper will focus on how a company might identify its best customers, but the same process could be used for other customer segments.
Tags : 
spss, customer management, consumer behavior, customer retention, crm, customer service, cost-effective strategies, customer database, statistical analysis, data management, data analysis, recency, frequency, and monetary value, rfm, best customers, customer lifetime value, chi-square, customer experience
    
SPSS
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