Tag Archives: marketing analytics

Marketers flunk the big data test

Marketers flunk the big data test

The big-data explosion has marketers feeling increasing pressure to make data-driven decisions. And yet, a study of marketers at Fortune 1000 companies shows that the vast majority still rely too much on intuition. Patrick Spenner shares key findings.

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Best practices and lessons learned from marketers

Marketing best practices

After interviewing a wide variety of marketing experts, SAS’ Jonathan Hornby compiled the best of the best advice for you. Find out the approaches you need to avoid, approaches that have exceeded expectations and much more.

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Four steps to best-in-class customer intelligence

Building Loyalty and Retention

All organizations have customer data and information. Customer Intelligence is simply the next logical stage: gleaning insights or knowledge from the data to drive more profitable interactions with customers. In this interview, CI experts Wilson Raj and John Bastone share a practical step-by-step approach.

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How to be relevant, social and real time in marketing

Technology That Drives Marketing Relevance

Are you using customer sentiment to determine the next best action to take with customers? Are you automating personalization of these actions at every touch point? If not, tune in to this webinar and start making changes today.

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How to optimize your marketing

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Find out how optimization technologies help you target customers to maximize response rates – all while taking into account customer preferences, propensities, profitability, costs, contact policies and other business goals and objectives relevant to campaigns and communications.

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It’s a great time to be in marketing … if you embrace analytics

its a great time to be in marketing if you embrace analytics

Analytics was once just the province of a few direct marketers and market researchers, but now the entire field of marketing is being transformed by this capability. Read what Thomas Davenport has to say about this major shift in marketing culture.

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Homing in on your target audience

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Who’s most likely to leave? Who’s most likely to buy? Which product and when? The fourth installment in this five-part series on marketing analytics reveals how predictive modeling answers these questions and more.

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