Tracking First | Blog
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16 Aug How much of your marketing spend goes untracked?

How much of the money your company spends on advertising and marketing goes untracked? Or suboptimally tracked? Do you know? Does anyone in your organization actually know? The digital marketing industry is suddenly awash in new technologies that allow companies to optimize their marketing spend by refining attribution, to the point where each step along the customer journey (in somes cases including analog or offline touches) can be measured and assessed for their impact on revenue. But the best optimization and attribution tools in the world can’t help you derive real insight if the initial tracking data you used is messed up. Likewise, if the tracking data you’re using can’t be looked at holistically -- for example, if you can’t directly compare performance from one platform to another because your Facebook campaigns don’t use the same tracking conventions as your DCM campaigns...your ability to derive real insights for your organization is limited, at best.
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09 Aug Adobe’s Classification Rule Builder and Tracking First

Every once in awhile, we get a question about how Tracking First is different from Adobe’s inbuilt Classification Rule Builder (CRB). It’s a good question, and a pretty easy one to answer. The simplest and most important thing to say is this: use of Tracking First and Adobe CRB is not an either/or kind of a thing. In fact, a best practice would be to use both. The main dIfference is whether your tracking codes will be prepared and described before the campaign goes live (using Tracking First), or only after the campaign goes live (using just Classification Rule Builder). If you’re going to use Adobe CRB, it’s important to keep in mind that you need to take care that your ‘regular expression’ (aka your RegEx) does not overmatch. In other words, you must not use too broad a brush in your matching logic. If you do, you run the risk of inadvertently destroying or overwriting your previous rules -- creating values for classifications that never should have been created. In designing your rules, you have to think not only of what data matches your logic, but of what might accidentally match, and of what doesn't match. You can ruin good data accidentally by using a logic expression that isn’t constrained enough.
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22 Jun The analytics challenge of pharma marketing – Part 2, Solutions

connect-20333_960_720 2Tracking First interviewed Dominic Tassone of the Indegene Encima Group for this two-part series focused on the unique campaign tracking challenges faced by marketers in the pharmaceutical industry. Part one covered the challenge, and part two explores how pharma marketers are tackling it.   Tracking First: Thanks for your helpful explanation of the unique tracking challenges facing pharma marketers. Can we talk a bit about the regulatory environment that impacts drug advertising, and how they work with it?   DT: Pharma and medical device companies need to be very careful, particularly about how they market to consumers and to a lesser extent to physicians. All drug marketing has to pass medical, legal and FDA reviews. The regulatory hurdle creates another trickle-down of complexity, like requiring different collateral for consumers and practitioners. The drug companies have to be transparent and consistent with messaging to practitioners, while simultaneously working to create demand or stimulate interest on the consumer side.
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20 Jun The unique analytics challenge of pharmaceutical marketing – Part 1

hand-1106934_960_720Tracking First interviewed Dominic Tassone of the Indegene Encima Group for this two-part series focused on the unique campaign tracking challenges faced by marketers in the pharmaceutical industry. Part one covers the challenge, and part two will explore potential solutions.   Tracking First: What makes the challenge of marketing analytics in the pharmaceutical industry unique?   DT: Within pharma, you find all the usual challenges of tracking digital marketing that any team faces, compounded by an unusual level of added regulatory complexity. The core problem facing any team is keeping all of the tracking codes and parameters used for click tracking organized. This gets very complicated when you have lots of different marketing channels. And it gets more complicated when you start talking about multiple agencies and multiple channel owners, or different agencies for different channels, or potentially multiple agencies within one channel.
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07 Jun Are you sure you know what you think you know?

illusion cube-1293954_960_720When you’re in charge of the Library of Congress, there are probably all kinds of pressing practical concerns. Daniel J. Boorstin, twelfth Librarian of Congress, appears to have made time to consider the big picture as well. He is credited with this assertion: "the biggest obstacle to discovery is not ignorance -- it is the illusion of knowledge." Consider what this could mean for your analytics data and your business. If your analytics relies on legacy spreadsheets developed over the years in various departments, if the uploading of tracking codes and classification tables into your analytics tool is done by hand, if you find that your reports aren’t always capturing the data you want due to corruptions or mis-classifications of your campaign codes, then instead of knowledge about your business, you’re likely laboring under the illusion of knowledge. That’s why you have the sense that your reports aren’t giving you the whole story. That’s why you don’t feel you can trust them.
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01 Jun Is your marketing attribution machine choking on bad data?

lawn-mowerThis past weekend, my 15-year-old was mowing the grass in our yard -- a Memorial Day tradition for generations of American teenagers. About half way through the job, the lawn mower died. It turns out he had used the wrong fuel for the engine. Though it was taken from a can that was sitting in the garage next to the mower, it was fuel that was intended for use in a chainsaw. Not only did using the wrong fuel cut short that day’s mowing -- it appears to have burned the motor out, permanently.  The experience reminded me of the much-discussed challenge in marketing analytics of “garbage in, garbage out.” We are at a stage in the marketing automation revolution where we have a multitude of sophisticated tools. They can handle audience segmenting, attribution tracking, re-targeting and micro-targeting, allowing us to use consumers’ past behavior and preferences to predict their behavior to the finest level of detail and market to them just when they are at the point of considering a purchase. 
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25 May More than one leg to stand on

pi-1327145_960_720I recently came across an idea that interested me in The Way to Design, by Steve Vassallo, award-winning designer and entrepreneur. He elaborated on a concept familiar to many engineers (and one that’s increasingly been adopted in the marketing world), that of “T-shaped” people, those who know a certain field very well and have enough understanding of adjacent disciplines to allow them to develop and launch products successfully. But Vassallo says that more is needed. In his words, “if you want to build enduring companies and really earn your seat at the table, I think you need to be π-shaped. That is, you need to have depth in both the creative and the analytical. Left- and right-brained. Empathetic and data-driven” (The Way to Design, Chapter 4).  There may be certain people for whom developing strengths in more than one discipline comes easily: not just T-shaped, or even π-shaped -- picture a three-legged stool of talents. But for every person who finds this a breeze, there are probably many more people for whom one area of expertise is plenty. Given the value that such breadth can bring, Is there something that we can do in our organizations to help people get to the place where they have more than one leg to stand on?
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17 May Tracking First Newsletter: May 17, 2017

Take a look here, to see what we’re reading and talking about. Some of the headlines:   --Marketing Technology May Never Consolidate (But That's a Good Thing) Marketing technology has consolidated to the point where it looks like a pyramid: a few billion-dollar giants on top, dozens of $100 million firms at the next level, and thousands of companies with less revenue below that -- with that number increasing steadily. By revenue distribution, the industry is consolidating. But by number of firms, it's expanding: a common market structure in the digital age known as a "long tail." The result could be a market that is consolidated at the platform level, with diverse specialized products available to plug into those platforms. Ad Age  (4/17/17)  
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10 May Changing the Business of Relying on Marketing Analytics

analytics-1757867_960_720Stop me if you’ve heard this one: a digital analyst, with a background in web development and marketing, takes a role heading up web analytics for a Fortune 500 company...and finds himself in the midst of chaos. The business wants to know how their marketing campaigns are performing, and they keep pestering IT for a more nuanced analysis. Meanwhile, tech wants normalized, better-quality data, and labels the lack of these inputs a “marketing problem.” Enter the analyst, trying to steer marketing in the direction of better data capture and IT toward a better understanding of marketing’s challenges -- all while advocating within the global organization for a greater focus and investment in the very data capture and analysis that these stakeholders have grown to mistrust.
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