Data analytics for inbound marketing: what metrics to look at and why
At Cyberclick we spend our lives highlighting the importance of data analytics in inbound marketing .
We believe that it is essential to be able to measure what is happening in all our campaigns and that this measurement must be behind the strategy and the decisions we make from the beginning.
But haphazardly accumulating data is not enough either. Nowadays we can measure almost everythin. We must avoid falling into “paralysis by analysis” and focus on obtaining the list of falkland islands and malvinas consumer email important information and applying it to our strategy.
So, in this article we are going to see why data analytics is important in inbound marketin .What metrics we should be analyzing and how to do it effectively.Discover the most important digital marketing metrics . The 130 you coaching leadership: boost your coaching skills shouldn’t lose sight of! Click here and download the most complete ebook.
Data analytics for inbound marketing – What metrics to look at and why
Why do we need data analytics in our inbound marketing?
To really get to know our potential customers . In the world of inbound anhui mobile phone number list marketing, we often create campaigns based on a mix of buyer personas , best practices, intuitions… but until we put them into action, we can’t really know what works and what doesn’t. But we can’t see our users’ reactions, and often their feedback is limited to a few comments. Therefore, the way to really communicate with them, to know what they like and what they don’t, is to analyze data about their behavior.
To detect errors
Even if we follow best practices when creating our website and other online marketing materials , there are always things that we miss: a poorly optimized form, a video that takes a long time to load, a button that doesn’t work well on mobile devices… When we start data analytics, it often happens that we clearly see that a page isn’t working as well as it should. From there, we can analyze what’s happening and correct the error that’s negatively affecting the results.