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Marketing Automation

5 Ways That Qantas Is Using Data to Delight Customers and Build Loyalty

June 18, 2015 by Trips Reddy

While many retail, sports, manufacturing, healthcare and entertainment companies are already using data to improve customer experiences, the airline industry hasn’t caught up yet. But a handful of airlines are trying to change both this. By using a customer data platform like Umbel to merge web, mobile and social data from multiple sources, and training their staff to use this data better, airlines like Southwest, United and Qantas are using actionable data insights to deliver personalized customer experiences that delight flyers and build loyalty.[read more]

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Using Recommendation Engines to Reduce Subscription Service Churn

June 12, 2015 by Dave Mendle

Recommendation engines are the digital version of the pot of gold at the end of the Big Data rainbow. Imagine being able to know, in near-time, what your customers really want and when they want it. For a subscription service, the gold is even brighter: You can deliver your customers’ desires directly to them, leading to a dramatic reduction in churn.[read more]

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Redefining Loyalty Programs with Big Data and Hadoop

June 11, 2015 by Dave Mendle

A loyalty program should not be about points, rewards, or status. While these perks may attract consumers, they don’t foster loyalty. The focus of these programs should be to collect useful data that can be used to build relationships that benefit both the consumer and the brand.[read more]

All Is Not Lost: Finding Value In Marketing Attribution Data

May 15, 2015 by Bill Franks

In my last blog, I laid out some facts that call into question the extensive effort many organizations put into attributing individual customer sales to individual marketing touch points via common attribution methods. To summarize, Suresh Pillai, head of Customer Analytics & Insights for Europe at eBay, showed that all reasonable attribution algorithms led to effectively the same aggregate credit to each marketing lever and also the same credit as a random method.[read more]

How Nonprofits Like the YMCA Use Data to Maximize Community Impact & ROI

May 9, 2015 by Trips Reddy

Maximize impact.

The biggest truth about data is that it only has real value if it changes the way organizations act and think. In today’s data-driven world, having the right data can help nonprofit organizations become more transparent and accountable, helping them demonstrate to donors and members that their programs and initiatives are achieving objectives. Here’s how nonprofits like the YMCA are already using data to look for trends and insights, and even identify and find solutions to problems that don't exist yet, but might be just around the corner.[read more]

No, You Don't Need a Data Scientist Army to Understand Consumers

January 6, 2015 by Mark Harrington

Data scientist army.

Today's advances in consumer management technology are facilitating a paradigm shift for brands to achieve authentic understanding and generate genuine loyalty from their best customers. For brands that are embracing this technology, loyalty has shifted from a reactive, “wait and see” approach to a proactive, “design and drive” initiative, free of data-head squads.[read more]

Top 8 Big Data Trends That Marketers Should Care About

December 24, 2014 by Trips Reddy

Big data trends.

A recent Oracle study projects that big data will be a $50 billion business by 2017. As big data and advanced analytics become more mainstream, it’s vital for marketers to keep up with the trends that really matter, the solutions that push for data democratization and the easy-to-use tools that empower anyone within an organization to create, run and optimize real-world campaigns that drive engagement, loyalty and ROI.[read more]

How Savvy Marketers Transform “Big Consumer Data” into Customer Wins

December 5, 2014 by Mark Harrington

Customer wins.

While many groups across the organization have focused on the need for significant data scientist operations to extract, synthesize and translate the massive amount of data spanning an array of fractured information sources, the Marketing team for many leading brands has raced ahead of the curve thanks to technology advancements that don’t require teams of data savants.[read more]

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5 Common Use Cases for Hadoop in Retail

November 20, 2014 by Sameer Nori

Hadoop in retail

Retailers can focus on the shopper as an individual, rather than aiming at the masses and hoping to snag a few. Where there once were customer panels, in-store surveys, focus groups, and guesswork, there is now social media, online search behavior, and easy-access customer input.[read more]

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Spotlight on Traitify: Who The Hell Are You, Anyway?

November 18, 2014 by Shawn Gordon

Traitify

DataWeek/API World this past September earned my ink as an overall exceptional conference, and as a spotlight on big data company SiSense. I did not, however, cover any of the API companies in attendance, other than a brief mention. But one I found super interesting and compelling is Traitify.[read more]

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Where Do You Draw the Line Between Relevancy and Privacy?

October 30, 2014 by Tamara Dull

The Big Data MOPS Series. 

We have a love/hate relationship with ads. Whether they’re on television, in our favorite publications, or online, we love them if they’re relevant and interesting, or get annoyed when they get in the way of [insert whatever we’re doing]. I have to admit: I rarely watch a television show in real-time anymore. I’ll record a show, wait 20+ minutes, and “chase the show” with the recording—ad-free.[read more]

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Hadoop in Advertising & Media: Is Data Analytics Making Old Media New?

October 2, 2014 by Sameer Nori
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Hadoop in advertising and media.

Imagine the chance to truly connect with a customer. Imagine if you knew what movies and television shows they watched, and not only when, but how often. Imagine knowing what screen they watched it on and how they shared it socially. Imagine knowing what they like, or dislike, and knowing it in real-time.[read more]

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5 Big Data Hadoop Use Cases for Retail

September 30, 2014 by Sameer Nori

Hadoop for retail.

How does Apache Hadoop help retailers? Apache Hadoop is not just a data storage and processing framework - it is an transformational platform, especially for retailers who want to analyze customer data and improve revenues and the general customer experience.[read more]

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Multi-Channel Retail: Where Big Box Meets Big Data

July 22, 2014 by Charles Settles

Retail and big data.

Amazon’s highly publicized unveiling of their Prime Air project was seen as a warning shot across the bow of logistics giants UPS and FedEx, but Walmart would do well to pay attention too. As noted in part one of this two-part series on multichannel-retail, Walmart’s dominance is as much because of their investment in distribution as it is because of their low cost of goods sold.[read more]

Mobile Advertising, Clustering Algorithms, and Your Ticket for a Free Ride

May 4, 2014 by Lillian Pierson

Mobile advertising and clustering algorithms.

Because of some pretty bad-ass data science and Google’s ever-increasing awesomeness, it looks like one day in the not too distant future, we will all be able to get a free (or heavily-discounted) ride. A taxi ride, that is.[read more]