Data analysis in marketing is fundamental to the strategy

Data analysis in marketing is very important because it allows you to understand whether a strategy is working and generating results.  It is from this analysis that professionals can know whether the actions are reaching who they should and yielding as expected.  If they are not, it is necessary to invest in a change of route.  Understand why this is so fundamental to achieving success.  Importance of data analysis in marketing William Edwards Deming, an American statistician and university professor, who gained recognition for improving production processes in the United States during World War II, said that “you cannot manage what you do not measure, you cannot measure what you do not define, you cannot define what you do not understand, and there is no success in what you do not manage”.  This phrase can be used to understand the importance of data and its analysis for the evolution of any marketing strategy.  Firstly, you need to have an objective to outline the strategies, as they will be focused on the point to be achieved.  Very broad concepts may not produce results or may produce results that are different from what the person would like.  Therefore, you need to know what the goal is: getting more customers?  Convert more?  Increase engagement on any social network?  Whatever it is, it needs to be well defined.  From the channels where the strategies will be applied, target audience, tone of voice, etc.  Only when this information is well defined will it be possible to put it into practice and, after a while, collect the data for analysis.  Knowing the objective of the strategy, the person will analyze the results and understand whether those initial ideas generated good results.  If the goal was to convert more and the data points to a drop in sales, it will be necessary to better understand what happened and change.  Or if the goal was to get more followers and the data shows a real increase, the strategy worked.  In this case, it is possible to continue in this way or refine the strategy to go further.  From these trials and errors, studying what has been done, what converts best and what doesn't work, the person will get to know their audience better, what they like to consume most and will create increasingly assertive content and strategies.  Read more: Persona What is digital marketing How to do data analysis in marketing?  Today, the internet offers a variety of data for people to analyze, so to avoid getting lost, the way to do the analysis and the data analyzed will be defined by the channels and reasons for the strategies.  Therefore, if the person has created content for social networks and blogs with the aim of preparing the customer for the purchasing process and convincing them, it makes sense to analyze data such as people reached, clicks on the link, conversion, visits to the website, time spent, among others.  Dwell time, for example, is data used in blogs.  From it, it is possible to understand the average time that the customer spends on a page.  This makes it easy for people to test different text sizes to see if their target audience prefers longer or more direct content.  Link click data is also interesting in these cases.  With it, it will be possible to check whether the content generated interest in the person and they opened the link to check more information or make the purchase.  This data can be complemented with conversion buttons, so that the person can gain insights to test new types of content or CTAs to try to convert into sales.  On social media, data such as the number of comments, likes, shares and people reached help to understand how the strategy outlined was received.  How to get the best results from data analysis in marketing?  Marketing strategies are often based on trial and error, so the best way to get the best possible results from your strategies is by testing different combinations and analyzing the data.  Especially in the beginning, when there is not enough data to compare, the most interesting thing is to test different publishing times, text size, content type and different channels.  After a while, it will be possible to say which ones are best for the brand/company's target audience.  Read also: Customer Journey Conclusion Data analysis may not be many people's favorite subject, but it is extremely necessary to achieve success with digital marketing.  But, for those who do not want to take responsibility for this or want to have more professionalism in their analyses, using a digital marketing agency is the solution.  The agency is made up of qualified professionals who will understand each client's pain and outline the best strategies.  And, after the strategies have been running for a while, they will analyze the data generated to understand what worked and what can be improved.

Data analysis in marketing is fundamental to the strategy

Data analysis in marketing is very important because it allows you to understand whether a strategy is working and generating results. 

It is through this analysis that professionals can know whether the actions are reaching those they should and yielding the expected results. If they are not, it is necessary to invest in a change of direction.

Understand why this is so fundamental to achieving success.

Importance of data analysis in marketing

William Edwards Deming, an American statistician and university professor who gained recognition for improving production processes in the United States during World War II, said that “you cannot manage what you do not measure, you cannot measure what you do not define, you cannot define what you do not understand, and there is no success in what you do not manage.” 

This phrase can be used to understand the importance of data and its analysis for the evolution of any marketing strategy. 

First, you need to have an objective to outline your strategies, since they will be focused on the point to be achieved. Very broad concepts may not generate results or may produce results that are different from what the person would like. Therefore, you need to know what the goal is: to get more customers? Convert more? Increase engagement on a social network? 

Whatever it is, it needs to be well defined. From the channels where the strategies will be applied, target audience, tone of voice, etc. Only when this information is well defined will it be possible to put it into practice and, after a while, collect the data for analysis. 

Knowing the objective of the strategy, the person will analyze the results and understand whether those initial ideas generated good results. 

If the goal was to convert more and the data shows a drop in sales, you will need to better understand what happened and change it. Or if the goal was to get more followers and the data shows a real increase, the strategy worked. In this case, you can continue in this way or refine the strategy to go further. 

From these trials and errors, studying what has been done, what converts best and what doesn't work, the person will get to know their audience better, what they like to consume most and will create increasingly assertive content and strategies. 

Read more:

How to do data analysis in marketing?

Today, the internet offers a variety of data for people to analyze, so to avoid getting lost, the way to do the analysis and the data analyzed will be defined by the channels and reasons for the strategies. 

Therefore, if the person has created content for social networks and blogs with the aim of preparing the customer for the purchasing process and convincing them, it makes sense to analyze data such as people reached, clicks on the link, conversion, visits to the website, time spent, among others. 

Dwell time, for example, is a piece of data used in blogs. From it, it is possible to understand the average time that a customer spends on a page. This makes it easy for people to test different text sizes to see if their target audience prefers longer or more direct content. 

Link click data is also interesting in these cases. With it, you can check whether the content generated interest in the person and whether they opened the link to check out more information or make a purchase. This data can be supplemented with conversion buttons, so that the person can gain insights to test new types of content or CTAs to try to convert into sales. 

On social media, data such as the number of comments, likes, shares and people reached help to understand how the strategy outlined was received.

How to get the best results from data analysis in marketing?

Marketing strategies are often based on trial and error, so the best way to get the best possible results from your strategies is by testing different combinations and analyzing the data. 

Especially in the beginning, when there is not enough data to compare, it is best to test different publishing times, text size, content type and different channels. After a while, you will be able to tell which ones are best for your brand/company's target audience. 

Read also

Conclusion

Data analysis may not be many people's favorite subject, but it is extremely necessary to achieve success with digital marketing. 

But, for those who do not want to be responsible for this or want to have more professionalism in the analyses, resort to a digital marketing agency is the solution. 

The agency is made up of qualified professionals who understand each client's pain and outline the best strategies. And, after the strategies have been running for a while, they will analyze the data generated to understand what worked and what can be improved. 

This way, the person can focus on other aspects and leave the data with professionals who understand which data is important and how to analyze it.

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