What is web analytics?
Web analytics is nothing more than a platform. It collects and reports data from online users when they enter a website or social media. Therefore, the collected data, are data like: age, interests, zone, gender, etc.
Importance of web analytics in digital marketing
The importance of web analysis, is to help you understand your audience’s behaviour, and take more concrete and precise actions. Web Analytics is exactly that!
In add on, the importance of web analytics is also to structure and collect data from the digital universe. For example, it collects data on the website, on your platform or through external Big Data tools. As a result, it helps to analyse and make decisions with more certainty and less risk.
A goal, here, is to optimize your business based on past results. Improving your product and improving your team. In contrary, can be consequences if this strategy is adopted.
Why do web analytic play an important role in the success of a website?
As mentioned earlier, the important role of web Analytics is to help marketers make better marketing decisions as in the success of a website. However, it also helps to analyse data from the past. In addition, it helps to create predictive guidance for actions implemented by the Marketing team.
Targeting your investments through data analysis. As well as, keyword research in SEO. It will help you execute an even smarter strategy. A lot of information is waiting to be analysed. Every two years, the size of the digital world doubles. This results in ever better data on consumer behaviour. The more you understand about your customer, the better will be your marketing strategy for selling products.
Data analysis can also be responsible for the results of your teams. According to Deeweb News study of Big Data. Said that, “Companies that adopt Web Analytics, can be 5% more productive and 6% more predictable when making decisions based on data.”
But just joining Web Analytics is not synonymous with success. What needs to be done, is to learn to appreciate it as best you can. Understanding the right questions to ask the data is the big secret of your analysis.
Google Important Questions About Web Analytics
Peoples who study web analytics. Mostly google questions like; What happened during this month web analytics? What was my grade at each stage? Which subject is most responsible for my low grade? What actions should i take to improve my grade? Etc…
“What happened during this month web analytics?”
Normally, the question is asked to understand exactly what the results of your tests and tasks were. Mostly, it is usually given as a percentage and gives us what we call a standard report. From there, you can ask further questions and understand even more about the information that was provided.
“What was my grade at each stage?”
How you answer this, is what results in an ad report. Questions like these, based on other results already analysed. They are not periodic reports and are carried out on demand.
“Which subject is most responsible for my low grade?”
Knowing your grade in each subject. You can understand where to focus to improve your results. It’s time to start digging into our report. This part is called Drill Down.
“What actions should I take to improve my grade?”
With all the above questions answered, it’s time to start thinking about actions. That’s when we created the first alerts. Now, we have started to bring the information to predictive and prescriptive analytics.
Predictive and Prescriptive Analytics In Web Analytics
The term predictive and predictive analytics can also refer to as Financial analytics. After learning more about the data you’ve received in web analytics. It’s time to understand more about how it works, what its key statistics are, and what its patterns are.
Difference between predictive and prescriptive analysis?
Predictive analytics, gives an indication of what might happen. While prescriptive analytics, shows you the way to make it happen. Predictive analytics can be defined as the use of statistical and modelling techniques to determine what might happen in the future.
With these analyses carried out. You will be able to “predict” the future of the business. And know the consequences of each action. Going back to your report card, it’s good that you recognize the patterns in your grade.
“What is the Importance of Predictive And Prescriptive Analytics?”
To illustrate, the importance of prescriptive and predictive analytics. Let us imagine that your maths grade is the one that needs improvement. What can you do? Foremost, you need to understand more about it, right? The same way, in the first questions. You analysed your website as a whole and managed to detail the information. Now is the time for you to analyse each of these details.
Gathering other data you have, you can see that maths has always been a lower grade than others. So this result is a pattern in your school life. To increase your overall score. You should focus more on this topic and improve on future results.
“What if I study more on weekends?”
Studying more will begin to help you to understand more about the possible outcomes for your actions and tests. Knowing that you need to improve your maths result. You create tests — in this case study, more on weekends — to understand the best way to achieve what you want.
“What happens next?”
You already know that when you study, you take tests more easily. And this is information you already have! So the chance of getting better results studying more on weekends is great.
A Predictive Mode term for it. With information, you already have and patterns already known. You can predict some results or reduce the risks of your actions.
“What can happen After Predictive And Prescriptive analytics?”
By analysing information from predictive and prescriptive analytics, you will take a big step towards optimizing your study and improving your grade even more.
With these 8 question styles. You can perform a thorough analysis of your data, generate great reports and extract a lot of relevant information from it.
You will understand your present and establish priority metrics. Ans also, improve your business and take increasingly assertive actions in the future.
Main Metrics In Web Analytics
Some metrics, in web analytics, should be tracked according to your company and product. But there are numbers you should always keep an eye on, regardless of your follow-up or work model.
Importance Of Web Analytics In Decision-Making
Since you now understand the importance of web analytics. Moreover, you know how much investment you spend to convert a customer. And also, how much return this customer has brought to your company. It will clarify the balance of your investments in Marketing.
Customer Acquisition Cost (CAC) As A Result Of Web Analytics
Customer by acquisition cost is the result of a simple maths account that clearly shows the amount spent to acquire a new customer. From it, it is possible to create acquisition promotions such as referral actions that are widely used today.
When you get paid for referring an app to a friend, this return value was calculated on the cost of acquiring that customer. In this way, the action is able to attract new customers in a healthy way.
CAC is calculated as follows:
CAC = Investment in customer acquisition / Number of new customers
CAC = Investment in customer acquisition / Number of new customers
Now that you have learnt a lot today about the web analytics, feel free to Contact Us or send a WhatsApp message to Deeweb Team. We will be very happy to help.
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