The data challenges that often arise when designing marketing strategies often have a common denominator: the quality. Data quality challenges to marketing can jeopardize campaign results, but they can be avoided.
Make a diagnosis prior to the definition of marketing strategies helps to identify whether the information available to the department to work with is complete, updated, beautifully integrated and there are no duplications or errors.
3 problems that can damage your marketing strategies and 3 effective solutions
The marketing area of any company represents its most visible face on the outside and, from inside, should be point of know the information of the entire organization, at least as far as the customer and customer life cycle are concerned.
When it is not understood this way, the effectiveness of marketing strategies begins to be compromised by problems like the following:
- Lack of global vision. Even though each department of the company may have its own sources and systems to collect information, these processes must be standardized if the generation of knowledge is to be promoted. Data is the fuel of marketing strategies Y, the more complete the information that can be worked on, the greater the chances of understanding the customer and getting it right when setting the parametersThe "parameters" are variables or criteria that are used to define, measure or evaluate a phenomenon or system. In various fields such as statistics, Computer Science and Scientific Research, Parameters are critical to establishing norms and standards that guide data analysis and interpretation. Their proper selection and handling are crucial to obtain accurate and relevant results in any study or project.... of each action. The answer is to improve data integration and apply master data management techniques.
- lack of filter. You don't just have to think about economy of resources and regulatory compliance, two of the most important reasons to carefully select what data to collect from customers and users. You must also apply other types of filters that will increase the effectiveness of your marketing strategies.. They are those related to the quality of the data. Cleaning processes, Data profiling and matching deliver information assets that ensure that the data meets all the quality attributes necessary to allow working at maximum performance and in conditions of minimization of errors.
- Lack of profitability. In connection with the previous point, we must talk about the ROI of the marketing strategies. When you have a databaseA database is an organized set of information that allows you to store, Manage and retrieve data efficiently. Used in various applications, from enterprise systems to online platforms, Databases can be relational or non-relational. Proper design is critical to optimizing performance and ensuring information integrity, thus facilitating informed decision-making in different contexts.... riddled with errors, where there are duplicate records and errors in email addresses, as an example, Email campaign shipments reduce their effectiveness. Emails that go directly to the spam tray, users who delete communications without even reading them or emails that by mistake, they do not reach their recipient or you receive them twice. These are all very common problems today, that negatively impact the brand image and reduce the profitability of the actions taken. All of them, could be solved with a data quality plan, the right tools and a robust data governance.
When talking about marketing strategies it is necessary to mention the quality of the data. A bell, whatever it is, cannot function without support provided by realistic customer and operations insight. But this can only be achieved when there are no errors and each of the data used meets the essential quality conditions..
