Marketing, in itself, already has the concept of exploration, study, services and ideas that are propagated in order to sell a product. Not only that, it meets the market's desires and increases the growth of those who use it.
The Data front (or data) - also known as Data Analytics if looked at individually - is the knowledge of mass analysis of data, numbers and information for the purpose of interpretation and subsequent collaboration for decision-making.
Given this, the union of data and marketing goes further, and with that we have Data Marketing, which we explain in the continuation of this content.
What is Data Marketing?
If Data is the reading of data and Marketing is the art of serving the market to sell products, then Data Marketing is the strategy that uses data to increase the correct chances of meeting a plan.
That is, knowing how to read the data correctly, it is possible to make decisions, plan new paths, understand whether the strategies already used are being effective and discard possible errors and actions that are not achieving the objectives defined by the brand.
Data-driven decisions are increasingly being made by companies that want to become more competitive and, of course, know that they will stand out more.
Data Driven Culture
To this end, some concepts are widely used, including in MATH. Some of them are even vietnam phone number example included in what is known as Data Driven Culture and the Web Analytics universe .
In this case, the importance of measurement comes down to the answers we give to questions like
Do visitors browse via mobile or desktop?
Which pages are of most interest?
What are the entry points for landing pages?
And much more, ranging from predictive, descriptive or prescriptive analyses. But they can also be part of an even larger universe.
See more at: Data Driven Culture: what it is and how to become a data-driven company
Data Science
In other cases, we come across Data Science and Big Data , which directly relate to digital marketing and business strategy that deals with a set of tactics practiced in an omnichannel environment, for example.
Data Sciente can easily be connected to big data, machine learning and artificial intelligence, which are hot topics for those in the technology field.
Data Driven Marketing
Thinking about actionable marketing decisions, Data Driven Marketing is the ideal process for those who want to reduce uncertainties and generate insights for the top management of a company.
The aim is to adapt strategies and trends that are constantly changing through the exclusive demands of their audiences.
Rigid and impartial data are generally found and, although not automatic, can be transformed into a set of technological tools.
How to use data for marketing in your strategies
Knowing these and many other areas that can be covered by Data in the market, the use of data must always begin with a team created for this purpose.
In other words, professionals trained in data reading and who understand the analysis operation. This, frankly speaking, must be specifically initiated from a Data Culture driven by the company itself.
This basically means that it is important to spread the idea of analysis from the intern to the senior leadership. From there, a complete team to help with the readings and make the best business decisions must have:
Leader;
Data engineer;
Data scientist;
Data translator;
Data ontologist.
But, in addition, it is important that in order to apply these readings, a good old marketing professional must be ready for the applications, the generation of qualitative insights, and qualified professionals to go beyond logical concepts.
After all, data is the focal point for decision-making. But the decision-maker also needs to understand the market and read everything from the persona, the target audience and even the business objectives to apply the methodology.
Read more in “ How to Build Your Data Analytics Dream Team ”.
Date and content
And speaking of marketing professionals, an ideal team that meets the necessary aspects to provide complete Data and Marketing services is also related to content marketing.
Because it involves planning, producing and promoting strategies, content is a close ally in attracting qualified leads, since it is linked to attraction marketing and, when adapted to digital, it needs to be designed for the persona and target audience of the business.
Data Marketing is then triggered by the data team, passed on to the marketing team and then reaches content with the adapted and correct analyses so that:
The guidelines are defined;
Better evaluate competitors;
Understand user behavior through digital channels;
Provide growth or possible declines for understanding publications;
Improves user experience;
It allows for greater knowledge of the market, your business and the service delivered.
Generating results with Data Marketing
Following the Data Marketing process, after understanding this concept, your dream team and the main means to leverage your opportunities through data reading, a question that may arise is “OK, but how do I generate results?”.
It is common to see that data collection and structuring happens unanimously through features that generate more dynamism in this control.
It is common to see data collection and structuring, then creating an intelligence model with the use of Machine Learning. Data Mesh is one of these models, as is Databricks , for example.
Going back to basics, and competing with the topic of digital maturity, there is a scheme of stages that we can start with
1 – Use of analytics tools for basic metrics, such as Google Analytics;
2 – Use of goals, dimensions and events, cross-referencing user behavior data, refining the rest of a journey;