Ep 61: Why Good Data Feels Bad at First
Most $10M–$50M B2B companies aren't working from bad data. They're working from data they've never properly questioned.
When StringCan onboards a new client, the first thing they audit is the reporting foundation. What they find, almost every time, is a version of the same problem: traffic numbers inflated by internal employee logins, attribution gaps that make a $50K campaign look like it disappeared, and year-over-year comparisons built on two entirely different measurement systems. The reports looked right, yet the decisions built on them were wrong.
In this episode, Jay Feitlinger and…
The skinny
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