Marketing

Who Gets Caught in Online Echo Chambers?

Echo chambers — that is, exposure to information that closely mimics our own experiences and points of view — are burgeoning. In the online world, personalization algorithms lead to even more personalization over time. New research that looked at the way people navigate through videos of TED Talks highlights which types of people are most at risk for falling into extreme echo chambers. The research also suggests ways organizations can help content viewers navigate the noise.

Moving Sales With Trajectory-Based Mobile Advertising

Anindya Ghose, Heinz Riehl Chair Professor of Business at New York University’s Stern School of Business, is one of the pioneering explorers of the intersection of mobile and marketing. In his new book, Tap, he collects his findings and weaves them together into a set of nine forces that marketers can wield to drive sales via mobile technologies.

Supply Chains Built for Speed and Customization

Thanks to emerging technologies like 3-D printing, manufacturers can offer consumers customized products and do so with unprecedented speed. Intrigued by a new product you saw in a YouTube video? Well, someday soon you may be able to personalize it, order it via the company’s website, and have it in your hands in a matter of days. But to enable this phenomenon at scale, an entirely new model of supply chain is required.

The Power of Consumer Stories in Digital Marketing

New research finds that stories about consumers’ positive experiences with a brand significantly increase users’ engagement with brand websites, and stories originating from consumers are especially powerful in shaping brand attitudes in social media. Indeed, companies that aren’t offering experiences that leverage consumer input in brand-related narratives are missing out on important opportunities to connect in a meaningful way with potential buyers.

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Don’t Check Your Facts at the Door (We’ll Check Them for You)

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On March 21 and 22, MIT SMR is opening its website to one and all, offering free and unlimited access to its rich offering of management insight and advice. MIT SMR’s mission is to improve the practice of business by identifying the most important new ideas in management, vetting them for rigor, shaping them into practical wisdom, and delivering them in ways that are convenient and enjoyable to consume. For two days, MIT SMR aims to demonstrate the worth of that mission as broadly as possible.

Beyond Viral: Generating Sustainable Value From Social Media

Social media provides the fuel for unpredictable, temporary mobilization, rather than steady, sustainable change. To reverse this trend and reap more enduring benefits from social media requires a fundamental change in focus. Research shows that incentive networks are an important middle layer between ideologies and activity in online digital platforms such as Twitter and Facebook. So, too, is a focus on establishing loyalty and stickiness rather than just “likes” and retweets.

How We Sell Our Attention

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Efforts by advertisers to attract attention are not new. What’s different with the web, author Tim Wu says, is the extent to which individuals are willing to open their lives to advertisers and trade away their time and private information for having the world at their fingertips. This creates unprecedented opportunities for manipulation.

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How Analytics and AI Are Driving the Subscription E-Commerce Phenomenon

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Box subscription companies are growing dramatically, using a high level of personalization and artificial intelligence algorithms to keep customers satisfied and eager for more. Their astute use of social media and influence marketing has also contributed to their startling success.

Which Features Increase Customer Retention?

Companies have an incentive to design goods and services with customer retention in mind. Unfortunately, they often add expensive features to their offerings without knowing whether or how much they will increase retention — and adding too many features can actually decrease customer satisfaction with products after customers have used them.

When Employees Don’t ‘Like’ Their Employers on Social Media

When employees are not fans or supporters of the company’s products on social media, it sends an ambiguous message and could deprive the company of potential supporters. Employers can counter this by encouraging their “digital native” employees to become brand ambassadors for the company.

Customer Relationships Get the Data Treatment

A case study by MIT Sloan Management Review, “A Data-Driven Approach to Customer Relationships,” details how the South African bank Nedbank is using its rich access to a trove of transactional data from credit card use — from the time of transactions and size of purchases to retailer locations, and even specific details like the age, gender, race, marital status, and income bracket of some users — to help merchants make strategic decisions to better serve those customers.

Do You Know What Really Drives Your Business’s Performance?

Although intuitively appealing, strategy maps and models such as the service profit chain have a common pitfall: They encourage managers to embrace general assumptions about the drivers of financial performance that may not stand up to close scrutiny in their own organizations. A more rigorous analytic approach called performance topology mapping may help managers avoid these assumptions, as well as the strategic mistakes they promote.

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Are You Using the Return on Investment Metric Correctly?

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The biggest challenge with ROI isn’t a technical deficiency but confusion over how it is used. “To calculate ROI accurately, you need to be able to estimate the fraction of profits attributable to the investment,” write Neil T. Bendle and Charan K. Bagga. “In order to calculate ROI, there must be a return (a profit associated with the investment) and an investment. Unless you have both, you cannot calculate ROI.”

Sales Gets a Machine-Learning Makeover

New advances in machine learning are allowing sales teams to manage huge amounts of data to become more effective and efficient. Our research suggests three main ways machine learning is being successfully integrated into sales processes. First, it allows for a scientific approach that clarifies opaque parts of the sales process. Second, it enables more-effective data-driven experimentation. Third, it automates administrative duties that take time away from higher-value tasks.

How Should You Calculate Customer Lifetime Value?

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Should marketers subtract the cost of acquiring a customer before assessing that customer’s lifetime value (CLV)? Most of the time, no. “CLV is easier to understand, and in our view more useful, if marketers don’t subtract the acquisition cost from their calculation of CLV before reporting it,” write Neil T. Bendle and Charan K. Bagga. “Imagine that a company is selling an old machine. In this scenario, the company’s managers would expect to receive the machine’s current value, not the current value less what the company paid to buy the machine when new.”

Should You Use the Value of a “Like” as a Metric?

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Social media strategy shouldn’t be seen as the driver of value difference between a company’s fans and nonfans. Fans are often more favorable toward a brand to start with than nonfans are — indeed, this is probably what motivated them to affiliate in the first place. As well, social media spending should not be justified by an observed difference in customer value that may not have been caused by social media spending. Instead, to understand social media marketing’s impact, companies should run randomized experiments.

Should You Use Net Promoter Score as a Metric?

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  • Read Time: 5 min 

The net promoter score (NPS) has become one of the most widely used marketing metrics. Consumers answer a simple question (How likely is it that you would recommend X?) on a scale from 0 to 10. Customers who answer 9 or 10 are considered promoters; those who answer 6 or less are rated as detractors. The score is the percentage of promoters minus the percentage of detractors. One of the strongest selling points of NPS is its simplicity. But the value of NPS may depend upon whether a manager sees it as a metric or as a system.

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