With so much data available to B2B marketers, it’s hard to believe that any marketer would still rely on their gut to make business decisions. But in the PwC Global Data & Analytics Survey, it was reported that 62% of executives still prefer to rely on their experience rather than data, to make decisions. Our challenge as B2B marketers, is to make sure our data is credible and trustworthy. If we can’t trust our data, then what use is it? And if we can’t reliably interpret it, then we risk losing our credibility when reporting on our activity and performance. Google Analytics is one of the most widely used analytics platform out there. But the problem is although it's easy to learn, it’s difficult to master. Reviewing your data is crucial to ensure you can interpret and analyse it correctly. In this presentation, we highlight 4 common errors in Google Analytics, and how to fix it, to make your data more reliable and trustworthy.