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6 steps to create data-driven digital marketing strategies

Posted: Sun Dec 22, 2024 3:50 am
by fatimahislam
Data-driven digital marketing is an approach that transforms data into strategic tools for decision-making.



For a long time, the lack of tools to measure results was a major obstacle for communication and marketing professionals.



Advertising on radio without knowing exactly who heard it or estimating how many people actually noticed a billboard were frequent challenges.



It was also difficult to identify how many consumers made cell phone number database purchases after being impacted by advertising campaigns on TV or how many readers saw an advertisement on a newspaper page.



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In the digital environment, this reality has changed completely .

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Today, almost everything can be measured: who interacted with content, for how long, on which device and even at what time.



It is this ability to measure that makes data-driven digital marketing so powerful, allowing the development of precise and effective strategies based on concrete information.



Here at Adtail we follow these 6 steps to create a data-driven digital marketing plan .



Want to meet them? Let's go!



What are data-driven digital marketing strategies?
A data-driven digital marketing plan is a strategic approach that uses data as a basis for planning, executing and evaluating marketing actions.



The essence of this model is to transform the vast amount of data available in the digital environment into useful information and, subsequently, into knowledge capable of guiding more assertive decisions.



As Peter Drucker, the father of modern management, said, “If you can’t measure it, you can’t manage it.” This maxim reflects the importance of well-defined metrics and the intelligent use of data to achieve concrete results. (1)



Peter Drucker
However, working with data requires more than just collecting it. Maria Carolina Avis, in the book “Data-Based Digital Marketing: Metrics and Performance”, highlights that “data does not mean information, which, in turn, does not denote knowledge.” (2)



In other words, data, when raw and unprocessed, is just a set of numbers or facts.



They need to be manipulated and interpreted to become understandable information.



From this interpretation, knowledge is constructed, allowing informed decision-making.



This process is at the heart of the concept of business intelligence (BI) , which transforms data into valuable insights.



A data-driven digital marketing plan goes beyond data collection. It seeks to integrate technology, analysis and strategy to optimize the results of digital campaigns and actions.



The basis for this is the use of tools such as Google Analytics , CRMs , marketing automation platforms and BI software, which help to consolidate data from different sources and present relevant metrics.

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However, data and tools are not enough without the critical analysis of a qualified professional .



He is the one who transforms information into knowledge and creates strategies so that results are achieved.



For example, knowing that a campaign generated 10,000 clicks is data, but identifying that 70% of those clicks came from mobile devices and generated a higher conversion rate on that medium is information.



Understanding the behavior of this audience and adjusting future strategies to maximize results based on this insight is knowledge.



Additionally, the plan should be guided by clear objectives and specific metrics , such as ROI (return on investment), conversion rate, engagement, and cost per acquisition (CPA).



These metrics help you monitor performance in real time and make quick adjustments when necessary, ensuring greater campaign efficiency.



07 Benefits of a Data-Driven Marketing Plan


Adopting a data-driven digital marketing plan brings countless benefits to companies seeking more effective and assertive strategies.



But, among several, there are 7 that stand out:



Greater accuracy in decisions
With concrete data, decisions are no longer based on assumptions and are based on real information.



This allows you to direct marketing efforts towards actions that have a greater chance of success , reducing waste of resources and increasing the efficiency of campaigns.



Audience segmentation with data
Analysis tools allow you to identify different consumer profiles , taking into account factors such as age, location, interests and online behavior.



This detailed segmentation makes it possible to create personalized campaigns that directly address the needs and desires of each group, increasing the relevance of messages.