Extract, Transform & Load: As Easy As Cooking Spaghetti

Posted by on March 2, 2015 at 10:37 am

Extract, transform, load (ETL) is a programming tool used to manage databases. This system can seem complicated, but when it’s compared to preparing spaghetti for dinner, the steps are less complex. First, we have to drive over to the supermarket to pick up tomatoes, onions, garlic, pasta, and tomato sauce. This is the collection step

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Why We’re Wired To Favor Personalized Messages

Posted by on February 20, 2015 at 9:39 am

Personalization has been proven to make us more likely to interact with the messages we receive. Although we, as consumers, experience customization so often that we don’t consciously recognize its psychological effects on us, it naturally entices us. Your Spotify account sees your frequently-played artists and suggest similar sounds for you to enjoy. Netflix recognizes

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Why Psychographic Data Trumps Demographic Data

Posted by on February 12, 2015 at 10:22 am

Of the many types of consumer data worth collecting and analyzing, psychographic data is perhaps the least commonly understood. But that doesn’t mean it’s not important. Putting psychographic data to use can do wonders for increasing marketing effectiveness. This value is precisely why SimpleRelevance relies on psychographic data for some of our most effective marketing

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Why Digital Marketing Calls For Measurement

Posted by on February 6, 2015 at 9:56 am

Why don’t we measure the success of marketing communications the same way we measure sales interactions? I’m not referring to broad-based brand marketing, but rather action-based triggered marketing campaigns, digital marketing campaigns, and drip campaigns. If a message can be delivered to an individual based on their specific interactions, why don’t we expect that communication

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Minimize Customer Risks With Predictive Analytics

Posted by on January 27, 2015 at 12:27 pm

With such an abundance of customer data available through various points of contact, it’s a misconception that throttling up personalization efforts zaps internal resources of time. Using predictive analytics to personalize your customer experience efforts minimizes risks and yields dividends on the short and long tail after. An emerging technology layer across most departments is

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