User:Mcassiano411/sandbox
Submission declined on 30 August 2024 by DoubleGrazing (talk). This submission is not adequately supported by reliable sources. Reliable sources are required so that information can be verified. If you need help with referencing, please see Referencing for beginners and Citing sources. This draft's references do not show that the subject qualifies for a Wikipedia article. In summary, the draft needs multiple published sources that are:
Where to get help
How to improve a draft
You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article. Improving your odds of a speedy review To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags. Editor resources
|
- Comment: I have declined this for lack of referencing, which also by definition means lack of evidence of notability. I have wider concerns, though, in that I suspect this may be original research or at the very least synthesis, which would make it unpublishable in Wikipedia. Wikipedia articles summarise what reliable sources have previously published about a topic, with those sources cited as references for verification. DoubleGrazing (talk) 15:54, 30 August 2024 (UTC)
M3D Methodology
Overview
[edit]The M3D Methodology is a framework designed to enhance the effectiveness of digital advertising in the healthcare sector by focusing on three core dimensions: Medical Intent, Medical Sentiment, and Medical Urgency. Developed by Marco A. Cassiano Alves, the methodology aims to provide a structured approach to understanding and addressing the specific needs and behaviors of healthcare consumers in the digital space.
Background
[edit]The M3D Methodology was developed in response to the growing reliance on digital resources by healthcare consumers for information and decision-making. Traditional advertising strategies often struggled to account for the complexities of healthcare-related searches, leading to the development of a more nuanced approach. The M3D Methodology integrates elements of data analysis, patient psychology, and advertising principles to create a more personalized and empathetic approach to healthcare advertising.
Core Dimensions
[edit]- Medical Intent: This dimension focuses on the underlying goals that drive patients to search for healthcare information online. Whether seeking a diagnosis, exploring treatment options, or looking for preventive care, understanding a patient's intent allows for the creation of more relevant and targeted content.
- Medical Sentiment: This dimension involves analyzing the emotional tone of patients' online interactions. By understanding the emotions behind patients' searches—such as anxiety, hope, or fear—advertisers can craft messages that resonate on a deeper level, building trust and engagement.
- Medical Urgency: This dimension addresses the time-sensitive nature of healthcare decisions. Recognizing the urgency of a patient's needs enables advertisers to deliver timely and relevant content that can assist in making informed decisions.
Applications
[edit]The M3D Methodology has been applied in various healthcare advertising campaigns, where it has been credited with improving patient engagement, trust, and campaign outcomes. For instance, campaigns that have implemented the M3D framework have reported higher relevance and effectiveness, as well as increased click-through rates and conversions.
One example involves a large healthcare system that utilized the M3D Methodology to better target patients in need of urgent care. By aligning digital ads with the urgency and emotional state of potential patients, the campaign achieved a notable increase in appointment bookings and overall patient satisfaction.
Reception
[edit]The M3D Methodology has received positive attention from the healthcare advertising community for its innovative approach. However, there have been critiques regarding the challenges of implementing this methodology, particularly for smaller organizations that may lack the resources for the sophisticated data analysis and psychological insights required.
Related Concepts
[edit]The M3D Methodology builds on established principles in digital marketing, such as intent-based marketing and sentiment analysis, while tailoring these concepts specifically to the healthcare sector. It offers a more dynamic and responsive approach compared to traditional marketing methodologies, focusing on real-time patient needs rather than static demographic profiles.
External References
[edit]At this time, there are no independent academic studies or peer-reviewed articles directly evaluating the M3D Methodology. As the methodology continues to be applied in various contexts, it is anticipated that further analysis and reviews will become available.
Conclusion
[edit]The M3D Methodology represents a notable contribution to healthcare advertising, emphasizing the importance of aligning digital campaigns with the specific needs, emotions, and urgency of healthcare consumers. As the methodology continues to be applied and studied, its impact on the effectiveness of healthcare advertising will become clearer.