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Explore the fields of personalized marketing, customer modeling and retention best practices.

Automated Customer Retention

Automated customer retention means using sophisticated software to drive all customer analytics and marketing activities for better results.
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Cohort Analysis

Cohort analysis is useful to identify customer behavior trends that may be hidden when looking at more general customer analytics data.
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Customer Attrition

Successfully predicting customer attrition – and proactively preventing it – represents a huge additional potential revenue source for most businesses.
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Customer Churn Prediction and Prevention

Predicting and preventing customer churn represents a huge additional potential revenue source for every business.
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Customer Behavior Modeling

Customer behavior modeling identifies behaviors among groups of customers to predict how similar customers will behave under similar circumstances.
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Customer Data Platform

A CDP is software that combines and manages customer data from multiple sources, to maintain a single customer view used for various marketing objectives.
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Customer Insight Marketing

Customer insight is the first step towards the mutually beneficial one-to-one customer relationships that every marketer strives to create.
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Customer Intelligence

Marketers who leverage customer intelligence are better able to generate long-term loyalty among their customers.
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Customer Lifecycle Marketing

Customer lifecycle marketing offers many benefits to customer-centric businesses, including increased customer engagement, monetization, retention and loyalty.
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Customer Lifetime Value

The advantages of utilizing Customer Lifetime Value include better customer relationships, more effective marketing and more accurate metrics.
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Customer Micro-Segmentation

Customer micro-segmentation technology empowers marketers to achieve deeper customer understanding and more effective customer marketing.
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Customer Segmentation

Accurate customer segmentation allows marketers to engage with each customer in the most effective way.
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Customer Segmentation via Cluster Analysis

Cluster analysis uses mathematical models to discover groups of similar customers based on the smallest variations among customers within each group.
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Customer Value Maximization

Customer value maximization is about personalizing customer marketing efforts to maximize the total revenues that every customer generates for the company.
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Database Marketing

Database marketing is all about leveraging your customer data to deliver more personalized, relevant and effective marketing messages to your customers.
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Deep Customer Analytics

Deep customer analytics delivers the advanced customer insight which allows marketers to successfully engage with each customer.
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Increasing Customer Loyalty

Predictive analytics combined with personalized campaign automation helps companies proactively increase customer loyalty.
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Machine Learning in Marketing

Machine learning helps marketers segment customers, predict churn, forecast customer LTV and effectively personalize messaging.
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Realtime Customer Marketing

Realtime customer marketing is the delivery of highly personalized customer marketing messages to individual customers, at the moment of greatest relevance.
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Relationship Marketing

Relationship marketing is the ability to interact with each customer uniquely, based on that customer’s specific wants, needs and preferences.
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RFM Segmentation

RFM segmentation is a great method to identify groups of customers for special treatment. Learn how to use this method to improve your customer marketing.
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Single Customer View

Having a single customer view is essential for organizations to understand and interact with each customer in the most personalized and effective ways.
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Statistical Significance and Credibility in Marketing

Statistical significance indicates how likely it is that a marketing campaign was directly responsible for its recipients’ behavior.
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Building Customer Loyalty for Increased Customer Retention

Every business should focus on building customer loyalty and retention, two factors that maximize customer value over time.
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Customer Acquisition vs. Retention Costs

Every business needs to balance their acquisition and retention efforts to maximize revenues and lifetime customer value.
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How to Create Customer Loyalty and Retention

Creating customer loyalty with high retention requires you to define brand value, engage in loyalty programs and pursue lost customers.
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How to Measure Customer Lifetime Value

Customer lifetime value is the total amount a customer will spend from acquisition through the end of the relationship with a business.
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Marketing Action Optimization

Marketing Action Optimization is a methodology of identifying and running the most effective marketing action for each customer.
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Next Best Action Marketing

Next best action marketing is a customer-centric marketing approach that personalizes messaging to generate the desired response for each customer.
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Predictive Behavior Modeling

Predictive behavior modeling helps predict the future behavior of customers allowing customer marketers to maximize the effectiveness of their efforts.
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Personalized Marketing (Definition)

Personalized Marketing is a marketing strategy that is based on the customization of content for each individual customer and/or consumer.
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Marketing Technology (Definition)

MarTech comprises all the systems and tools used by marketers to create, manage and measure their customer and prospect communication.
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B2C Marketing (Definition)

Business to Customer or Consumer is the term used to describe companies marketing directly to customers.
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Customer Satisfaction (Definition)

Customer satisfaction refers to the indication of how a company’s given product or service meet or surpass customer expectations.
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Customer Engagement (Definition)

Customer engagement is a key performance indicator measuring the interaction level of a customer with a given brand or company.
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CRM Marketing (Definition)

Customer relationship management marketing encompasses all the ecosystem that supports marketers in their effort to build and manage customer relationships.
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Data Management Platform (Definition)

Data Management Platform's store customer and/or consumer data, and make it available to other systems within an organization's technology ecosystem.
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