With budgets continuing to tighten and workloads increasing, analytics has become a must-have in every professional marketer’s toolbox.

But for many, it's still difficult to distinguish between reliable data and valid data. The difference is in the way analytics data is set up and subsequently interpreted. These seven sins show how data that may look reliable is not always valid.

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