When it comes to marketing, it is not a strong suit for all. While some believe in taking slow steps because of the belief that they are new to the technology and find it confusing, others mess up just because they are worried that they would mess up. In reality, this is not how things should work on marketing front. A grip upon the basics, some analytics resources and a little confidence is all that you need to do to report your analytics. The most essential thing is that you should have the ability to distinguish between the facts and the myths associated with marketing. Through this post, we will be stating all the myths about Analytics that you should ignore.
Myth #1: For analytics, you will need to have a mathematical background
There was a time when this conception seemed true but with passing time analytics has managed to offer people with vast opportunities. Analytics now have incorporated more tools that before, hence making it easier to find and evaluate the data. Also, there are several resources that you can rely upon for learning analytics. With blogs and videos, you can learn and practice all the major trends associated with analytics and improve your metrics. You do not have to learn calculus or mathematical code for implementing any of these. So, as a whole you need not to have a mathematical background for learning analytics.
Myth #2: Measuring Analytics takes a lot of time
Are you keeping yourself off the track because you think that analytics take time to take place? If yes, then you are probably mistaken. Some marketers believe that analytics take up too much time and hence they would be left with least time to manage other chores. However, the truth is that once you learn how to work upon metrics, you can evaluate, track and measure them through the software in no time. No doubt, when you start working upon a relatively new concept, it may take time to track data but that is again a matter of time. With time, you will be able to come up with the perfect option.
Myth #3: Small scale companies do not require any analyses.
From the moment you start with the content, you should start thinking of ways about how you would analyze it. If you ignore analysis from the beginning then you might miss the opportunities of tracking your content in the best way. Take into consideration, the situation where you wish to track the clicks on a text link in a particular post. In this case, you will need to start thinking from the beginning about how you could add tracking to the content. Tracking could be very helpful if you want to evaluate what channels are bringing in maximum traffic to your posts.
No matter what scale your company is operating upon, you will have to rely upon metrics to understand the growth pattern. You can track the visitor-to-lead conversion rates and lead-to-customer conversion rates even when your company operates on a small scale. Your business can also track the performance upon promotional channels through metrics.
Myth #4: Data matters more than taking action through data
Keeping data that does not focus upon readers but is there only for the sake of filling gaps means nothing. It is essential that you schedule some time and work upon how to use the data for running campaigns and benefiting the project. Do not let your data get wasted. Instead, find ways by which you could use it for improvising the tasks. Try analyzing data so as to pull out insightful information and take an action based upon the findings.
Myth #5: Every single metric should be reported
In case you have sufficient time and resources with you, you can spend your entire time in reporting each of the available metric. With so much data available to get analyzed, you have plenty of the metrics to report. But, this is not what your business requires. You should always try and report only those metrics that are essential for your business. To make things less complicated, you will have to start while running a data analysis, setting goals for businesses and note down the metrics that would be helpful in answering these questions.