Without proper analysis, it is impossible to know what is happening with your campaigns to focus on what works and stop wasting resources on what does not. Therefore, we will see some keys to marketing analytics that will help you be a more efficient marketer.
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The marketing analytics or marketing analysis is the practice of measuring, managing, and analyzing your business results to optimize them. To do this, it uses information gathered through different channels to create a unified vision.
From this view, the marketer can obtain information to draw conclusions that guide their next actions and make them more useful. Marketing analytics encompasses many metrics, among which key performance indicators or KPIs play a unique role.
Some Examples Of Them Are:
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The amount of data you can collect with marketing analytics tools merely is overwhelming, so you need a system to be able to filter and focus on the essentials.
To achieve this, one of the first steps in the analysis will be to establish your primary and secondary KPIs based on your objectives. This way, you will know, for example, that what is essential is the click-through rate on a link to your landing page and not the number of “likes” on a Facebook post.
If you segment your visitors and customers based on their characteristics or behavior, you will have much more specific data, and you can see things more clearly.
You can filter users by age, gender, education level, family situation, and much more on a demographic group. And in terms of their behavior, it might make sense to see how your regular customers compare to those who abandon the cart on their first purchase, for example.
There is no single way to do marketing analytics, but each company and each sector has a particular situation.
Therefore, before deciding how you will approach your analysis, you have to think about what makes sense for your business: if it is a B2B or B2C company, in which sector it is located, what type of audience are you targeting, how is the customer journey.
In marketing analytics, more does not always mean better. You don’t ever need to have more data, but better data. These parameters will help you evaluate the quality of your data :
Marketing analytics allows us to identify our strengths, but it is equally important that we see what is not working. For example, if there is a sudden drop in sales, you should analyze the data to try to find the reason and solve it as soon as possible.
Although it may seem that marketing analytics is a 100% objective science, the truth is that people are not. When we have a lot of data at our disposal, it can be very tempting to focus on those that agree with our previous hypotheses. Try to be aware of this possible error and focus on the KPIs that you have previously defined.
We can distinguish between two main types of marketing analytics: the descriptive and the prescriptive. The first helps us to know what is happening, but the second is the one that is valuable for the results of the company. The predictive analytics can answer questions like:
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