Marketing strategies based on data analysis

When creating Digital Marketing Strategies for any business that manages online resources, it is first necessary to have a clear understanding of the market, its competitors and its audience. identified their needs, desires and expectations.
If you identify them you will be successful, if you ignore them, your digital strategy will not go beyond the delivery of content and experiences that offer little or no value. Achieving clarity through data analysis is key to ensuring success.
Social technologies and mobile devices have accelerated the fragmentation of the Internet. This means you need data from more platforms and of several different types such as google analytics or different tables generated from different data.
In RV3 we have the Datapony data organization platform which is focused on the organization and centralization of all data in a personalized way allowing the customer to know in detail all the data that help in the content strategy and ads to implement in digital marketing.
Content strategy based on table management using Tableau with the Datapony application.
Data analysis expertise available online To get started simply with a Tableau project
Creating an effective content strategy requires as much public information as possible and data sources of information are key.
It is important to understand the information tables integrated into the data analysis process well in order to understand users before making the decision to move forward with the marketing strategy.
The compression of each data will be key at the time of making decisions about the budget to manage and advertising investment.
Get to know users by means of demographic, behavioural and psychographic information, assessment of user experience, among others.
Data analysis provides this information in a coherent and actionable way.
Are you ready to improve your sales strategies, product marketing, or follow your latest advertising campaigns? Datapony gets you up and running with results-oriented analytical projects based on Tableau

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