The most effective way to convey your marketing message is to use the channel and media most used by your potential audience.
To discover the most effective channels and means to reach your audience, market research, online traffic study and other strategies to identify the habits and customs of your target market can be carried out.
A marketing message must be written in a way that engages consumers, creates value and desire for your product or service.
Relationship marketing is a strategy used by companies to create greater proximity and identification of the public with an organization through messages that generate greater value than just advertising, such as the use of blogs, tips, humor elements and other ways to engage the consumer to relate to the company in the language and perspective of the media where the message was conveyed.
The message effectiveness monitoring program is also essential for analyzing the effect of advertising on consumers, through publication traffic, number of visits, hours, number of clicks on the page, etc.
These message tracking programs are effective so that the marketing team can analyze, review and improve their communication through the data and information obtained.
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Computational thinking- the thought processes involved in formulating a problem and expressing its solution(s) in such a way that a computer—human or machine—can effectively carry out. Computational Thinking is an iterative process based on three stages.
Problem solving process- The process of working through details of a problem to reach a solution. Problem solving may include mathematical or systematic operations and can be a gauge of an individual's critical thinking skills.
Data- facts and statistics collected together for reference or analysis.
Information- facts provided or learned about something or someone.
Algorithm- a process or set of rules to be followed in calculations or other problem-solving operations, especially by a computer.
Aggregate data- aggregate data are data combined from several measurements. When data are aggregated, groups of observations are replaced with summary statistics based on those observations. In a data warehouse, the use of aggregate data dramatically reduces the time to query large sets of data.
Discovery Data- in the context of IT, is the process of extracting actionable patterns from data. The extraction is generally performed by humans or, in certain cases, by artificial intelligence systems.
