Apple’s M7 Motion Coprocessor


Read the original version of this story and many more at TD Curran’s blog.


Yesterday, I was using the Maps app on my iPhone 5s to get directions while driving to a friend’s house. I parked my car a few blocks away and proceeded to walk the rest of the distance. To my surprise, Maps immediately switched from driving to walking directions as I walked away from my vehicle. How did my 5s know to do this? The answer lies in Apple’s new M7 motion chip. Pushing the limits of how “smart” a smartphone can be, the M7 chip is redefining how our daily movements are interpreted and analyzed by technology. Continue reading


Winter Is Coming: The End of Digital Marketing…..class

Tyrion Lanister Digital Markeitng

For the past three months, I’ve been using this blog as a part of my digital marketing class at Western Washington University with Mark Staton – among other things. Unfortunately, that class concludes today. Before I rehash some things I’ve learned this quarter – let’s take a lot at how this blog has performed traffic-wise since October.

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When Caring Becomes Creepy: The Push for Online Privacy

Privacy on the Web

You log on to your Facebook account and go about your usual social media routine. You check your News Feed, comment on a few statuses, like a funny video and upload some photos from the weekend. Many people consider their social media profiles to be secure and private, but even individuals with the strictest privacy settings may be surprised at the amount of personal information certain online entities like Facebook and Google collect and store…forever. Continue reading

The New VP’s of Marketing: Growth Hackers

Growth HackersAccording to Statistic Brain, 71 percent of all startups fail within 10 years of their inception. There is no doubt that the Internet and advances in technology has made it easier for people to start new businesses, but in no way is it easier for those businesses to succeed. What are some of the characteristics of the 29 percent of startups that do realize success? They all managed to capture an audience base and rapidly grow and retain it. This is often where growth hacking – an intersection of marketing and coding that focuses all efforts on the growth and development of a product, brand or business – comes into play.

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Filtering the Feed: How Facebook Delivers Relevant, Wanted Content

Facebook EdgeRank

Is Facebook’s EdgeRank algorithm Really Dead?

Logging in to your Facebook profile, the first thing you see is the News Feed. Created in 2006, Facebook’s News Feed provides a brief overview of the activities occurring within a user’s network. Status updates, new photos, links, comments and new friend connections are all listed in the News Feed, but only a select few are actually displayed for the user to see. That is, not all of the network’s activities are posted in the News Feed. Facebook uses an algorithm to rank each post in terms of relevance to the user in order to determine which posts are displayed in the News Feed. This algorithm, originally called EdgeRank, has recently been updated to a more complicated model that incorporates machine learning and takes as many as 100,000 individual weights into account when determining which posts make it to the News Feed. The implication for businesses seeking to reach an audience through Facebook? If your posts are not relevant and engaging , your posts are not viewable.  Continue reading

One Among The Crowd – Product Co-Creation

Product Co Creation

When introducing a new product, marketers typically have two options: they can either pick an attractive market segment and design a product for it or design a product and try to match it up with a market. In both of these options, it is possible for the new product to not meet the customer’s requirements. One solution to this problem is to involve the customer in one or more aspects of the new product development process. This solution, called product co-creation, adds a new dynamic to the producer/customer relationship by engaging customers directly in the production or distribution of value. Through product co-creation, businesses are able to turn their best customers in their best businesses. Continue reading

While Mobile Payment Systems Serve Up Convenience, The Card Remains King

Google Wallet's Point of Sale Terminal

Google Wallet’s Point of Sale Terminal

From monitoring our fitness regimes to scheduling our day to communicating with friends and loved ones, the smartphone is pervasive in just about every aspect of life. One aspect that the smartphone has struggled to take over is handling our daily transactions. The first mobile payment system, in which individuals use their cell phones to conduct a digital transaction, was introduced in 1999. While mobile payments systems are more accessible today – they are still struggling to gain popularity with the majority of consumers and merchants. Continue reading

Marketers Are Trying Harder Than Ever To Get In Your Pants


It’s true – marketers want to get in your pants….desperately. Why is this? According to the Pew Research Center, 56% of American adults own a smartphone in 2013. That percentage increases for certain demographics. For example, 93% of college students own a smartphone. For marketers, the mobile platform is the perfect marketing medium. It is interactive, immediate, highly segment-able, but most importantly, it is always close to the consumer. According to Mobile Marketer’s “Classic Guide to Mobile Advertising,” a majority of mobile phone users report that they consider the device to be so personal that they do not allow it to stray more than a foot away from their person 24 hours a day, seven days a week. Despite the increasing popularity of the mobile platform, many small to medium-size businesses do not have a mobile presence. Continue reading

Turning Big Data Into Big Knowledge, Pt. 2 – Predictive Analysis

Surprised baby boy using a laptop computer

Last week, we discussed database marketing and SQL, the programming language used to communicate, manipulate, and navigate through databases. This week, we will look at some more examples of companies who turn their data into knowledgable action through the process of predictive analysis.

Take a glimpse at the baby in the picture above. He looks awfully shocked, right? Maybe it’s because Target knew his mother was pregnant with him before his grandparents did. How could it be possible for a retail store to predict which female customers are pregnant and how far along they are in their pregnancy? The answer lies in data and predictive analysis. Continue reading