Media analysis is a vital part of content strategy, as it helps you understand the current landscape, identify opportunities and gaps, and measure your performance. But how do you conduct a media analysis that is relevant, comprehensive, and actionable? Here are the most important steps you should follow.
Before you dive into the data, you need to have a clear idea of what you want to achieve and how you will measure it. What are the objectives of your content strategy and how do they align with your business goals? What are the key questions you want to answer with your media analysis? What are the sources, channels, and platforms you want to include or exclude? How will you segment and categorize your data? Having a clear goal and scope will help you focus your analysis and avoid getting overwhelmed by irrelevant or redundant information.
Drawing out leading questions in a research is the first thing to be done. It includes: ?The aim of the research. ?Problems the research hopes to solve
The next step is to gather the data you need to conduct your media analysis. Depending on your scope and sources, you may use different tools and methods to collect your data, such as web analytics, social media analytics, content audits, surveys, interviews, or competitor analysis. You may also need to use secondary sources, such as industry reports, research papers, or media outlets, to complement your primary data. Once you have collected your data, you need to organize it in a way that makes sense for your analysis. You may use spreadsheets, databases, dashboards, or other tools to store, filter, and visualize your data.
A principal dica para receber os dados é manter tudo tagueado e ferramentas de análise web funcionando perfeitamente. Tenha também uma forma de extra??o desses dados de preferência automatizada para fazer cruzamentos de metricas e conseguir mais insights
An example is the term paper we had to structure out in school the first thing, me and my team did was to create an outline and define the purpose of the research by bringing out leading questions.
The third step is to analyze and interpret your data to answer your key questions and find insights. You may use different techniques and frameworks to analyze your data, such as SWOT analysis, PESTLE analysis, gap analysis, sentiment analysis, or content scoring. You may also use qualitative and quantitative methods to interpret your data, such as themes, patterns, trends, correlations, or benchmarks. The goal of this step is to find out what is working and what is not, what are the strengths and weaknesses of your content strategy, what are the opportunities and threats in the media landscape, and what are the best practices and recommendations for improvement.
One thing to also note that data can be analysed through various methods. The approach taken towards the analysis of a data depends on the type of data.
The final step is to communicate and act on your findings. You need to present your media analysis in a way that is clear, concise, and compelling for your audience, whether it is your team, your stakeholders, or your clients. You may use different formats and channels to communicate your findings, such as reports, presentations, infographics, or videos. You may also use different strategies and tactics to communicate your findings, such as storytelling, data visualization, or case studies. The goal of this step is to persuade your audience to take action based on your findings, whether it is to change, optimize, or scale your content strategy.
Presentation of one's ideas properly is what makes the process of research useful. If all the steps are carried out effectively and the presentation is poor, it would amount to a waste.
Good content management is a very important tool for ensuring consistency in sales. Managing of content professionally helps your customers build trust overtime about your services. Content management can only be done through extensive research.