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Complimentary Resource – Explode 6 Direct Marketing Myths.

Strategy Driven

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. Click here for more information on Explode 6 Direct Marketing Myths.

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The Importance of Testing in an E-marketing Campaign

Women on Business

How does their e-marketing supplement their traditional marketing? Create a Benchmark Traditional direct marketing always uses a control piece as the benchmark, generally with an A/B split test. The same idea works for e-marketing. Are they using email blasts, social networking, relationships with key bloggers?

Marketing 162
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The Big Picture of Business: Institutional Reviews Help Public Companies to Learn from the Downturn and Move Forward

Strategy Driven

Branch 2: Environmental, safety, IT systems design and computer software, training for computers and technology, architecture, engineering and legal. Copyright 2007-2012 by StrategyDriven, Inc. Consider leaving a comment! This content is intended for personal and non-commercial use only. All rights reserved.

Review 57
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What Really is The Big Picture of Business

Strategy Driven

It may be: human resources, organizational development, training, technology, sales, marketing, advertising, public relations, coaching or financial management. You employ state-of-the-art technology and are in the vanguard of your industry. Advertising is a process, part of marketing and a cousin of sales.

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Publishing Is Not Dying

Harvard Business Review

And it’s not just the financial results that are impressive — Huffington Post has won a Pulitzer Prize, as has Politico, a news organization launched in 2007. The Huffington Post was sold for $315 million in just six years. These examples are not mere exceptions, but part of a growing trend. Publishing start-ups are hot.

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Big Data Hype (and Reality)

Harvard Business Review

It released a record-large (for 2007) dataset, with about 480,000 anonymized users, 17,770 movies, and user/movie ratings ranging from 1 to 5 (stars). This is a prediction challenge; Netflix must venture an informed guess that, if someone gave a certain rating to movie a , they will rate movie b similarly.