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Why do you need to start measuring your data now to model successfully?

  • Writer: Nicolás Bonati
    Nicolás Bonati
  • Mar 5
  • 2 min read

Key points:

  • Data-driven decisions significantly drive business growth.

  • Early and accurate data collection empowers effective Marketing Mix Modeling (MMM).

  • Measuring data immediately avoids strategic and budget allocation errors.


What is data-driven decision making and why is it essential?


Imagine running your marketing by intuition alone; it's like sailing a boat without instruments. In today's highly competitive marketplace, relying on intuition alone can limit growth and reduce your profitability. Data-driven decision making uses clear, actionable information extracted from real data, allowing you to navigate with confidence toward precise objectives. Understanding customer behaviors, market changes and campaign effectiveness is key to maintaining competitive advantage.


Why is accurate data measurement crucial for the MMM?


Without accurate data, Marketing Mix Modeling (MMM) becomes mere guesswork. Early and accurate collection ensures that your models generate reliable insights, guiding effective marketing investment decisions and avoiding wasted resources or missed opportunities. Solid data is the basis for smart budget allocations and more targeted marketing strategies, directly improving your return on investment (ROI).


Essential data to start collecting immediately


Companies that want to implement an effective MMM must collect:


  • Media investment data: Accurate details on digital, TV, print, and outdoor advertising expenditures.

  • Sales and revenue data: Detailed transaction records that reflect business results over time.

  • Marketing exposure metrics: Information on impressions, clicks and consumer interactions.

  • Contextual information: External factors such as competitor activities, economic indicators and special events.

  • Customer behavioral data: Data on customer interaction, purchase frequency, feedback and satisfaction.


Risks of waiting too long to measure your data


Waiting to measure your data can seriously impair your ability to create reliable models. The longer you wait, the greater the risks of facing errors in strategic decisions and budget allocations. Historical gaps create uncertainty, diminishing your competitive advantage and profitability.


How to implement a data measurement strategy today


  • Define clear objectives: Decide precisely which metrics are most important to your business.

  • Standardize data collection: Maintain consistency in data collection across all channels.

  • Automate collection: Use specialized platforms such as NeuroRadar to automate data aggregation and ensure accuracy.

  • Regularly validate data: Periodically review the quality and integrity of your data.

  • Analyze and act immediately: Start analyzing the data collected to make agile decisions, creating a solid foundation for long-term modeling.


Don't wait any longer: start measuring your marketing data now and turn those insights into effective actions. Platforms like NeuroRadar simplify this process, ensuring that your strategic decisions are smart and profitable.


 
 
 

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