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This document discusses understanding and predicting customer behavior through analytics. It describes a customer analytics maturity model that progresses from exploring customer data to real-time decisioning based on predictions. The final stages optimize customer contacts and interactions by matching customers to the right offers through the right channels. The goal is to improve the customer experience, increase satisfaction and value, and boost retention through personalized, timely engagements.

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This document discusses predictive customer analytics and Portrait Software's solutions. It describes Portrait's customer analytics maturity model, which progresses from basic reporting and exploration to predictive modeling and real-time decision making. It also highlights how Portrait's tools allow users to understand customer behavior through interactive data visualization, predict outcomes through automated modeling, and optimize interactions in real time.

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The document outlines learning objectives and topics for a course on prospecting. The objectives include realizing the importance of prospecting, learning best practices for successful prospecting, and developing effective communication methods. The course will discuss topics like asking customer-focused questions, dealing with resistance, and always operating in a "prospecting mode." It will also cover prospecting success stories and strategies for nurturing customers and prospects.

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This document discusses customer engagement and provides a pragmatic approach for measuring customer engagement at the Bolton Group. It introduces customer engagement modeling, which assigns weighted values to customer actions like website visits, coupon printing, and social media interactions. These interactions are tracked in a customer database to calculate a customer engagement score. Calculating engagement scores allows companies to better understand customer preferences and target communications more personally.

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This document summarizes the credentials of a marketing research and consultancy firm established in 2001. It has expertise in conducting pan-India market research assignments using various techniques. The firm provides unbiased market insights and consulting services to help clients understand consumer behavior and address business issues. It has domain expertise in various industries and a geographic presence across India. The firm offers a range of market research services including advertising testing, demand forecasting, customer satisfaction studies, and brand tracking. It has infrastructure and resources to handle diverse research needs of clients in various sectors.

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"Blast" marketing strategies of the past are no longer sufficient to engage today's customers and foster loyalty. Typical campaign response rates have plummeted while customer opt-out rates have ascended, limiting your ability to converse with even your most valuable customers. New automated dialogue strategies can help retailers create a seamless experience across all channels and engage with each of their customers as individuals, connecting every customer communication - outbound, inbound, marketing, sales or service - into an ongoing dialogue where customer insight and understanding forms the basis for each and every interaction.

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Make money with big data by organizing your company around your customers. I presented this deck at the Cybera Big Data #cybersummit 2012 in Banff, Canada. In it, I talk about customer loyalty, how to use driver and linkage analysis to sort out both what's important to your customers and what will drive sustainable revenue for your business. Case studies include a SaaS software company, and U.S. Hospital patient experience data based on HCAHPS patient surveys from 4,610 health care facilities nationwide.

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