Data marketing: how to avoid mistakes

[shukla7789]

Discover the benefits of ensuring data marketing quality and how this impacts customer service. [Powerdata]
Incorrect data in data marketing management is a risk for all areas of the business.  The potential detrimental effect of management that bases its decisions on low-quality information materializes in different types of problems: fundamentally the deterioration of the user experience , the reduction of reliability in the analysis, difficulties in optimizing the potential client funnel and a  performance of marketing campaigns below expectations.

Good data management with a focus on quality is the foundation that leaders rely on to make good decisions and meet objectives. And today, marketing managers have learned more than ever that zalo database in the new context involves improving data quality as the central strategic objective. A data -driven marketing strategy is a goal that all companies should prioritize, even before thinking about improving the user experience, because it is crucial in achieving many other strategic objectives of companies.





82 % of business leaders firmly believe that data helps create a strategic advantage to strengthen their level of customer trust as well as their results.

Source: Source: IBM C-Suite


Quality, strategy and data marketing
Improving the quality of data marketing is not only an important objective, but it also represents a critical challenge  for the success of the initiatives underway, especially considering the acceleration of digital transformation in all companies.

To achieve this goal, companies must seek to:

Understand the business and the weak points of its information systems.
Define data quality requirements .
Establish rules to certify the quality of information.
Integrate those rules into your processes.
Control the quality of your data.
Improve based on iterations.
Failure to do so is a huge risk, as  bad data can lead to lost business opportunities, customer dissatisfaction, and a lack of trust in CRM systems by business users .  Poor marketing data quality also leads to further complications , especially in business models with long and complex sales cycles, as it increases the risk of bad data entering your systems and multiplying its negative impact.





81 % of executives say their companies are making progress in their digital transformation process.

Source: Glue Executive Search



The benefits of ensuring data marketing quality
High data quality helps improve the use of information and optimize the user experience , ensuring that users trust the data in the systems and make more consistent decisions.

For businesses with short sales cycles, it's vital that salespeople have access to  accurate information they can act on immediately,  so they can focus on selling, not searching.

48% of marketing decision makers point to  validating contact data collected online as  the most effective tactic to improve marketing data quality . In most cases, this is an automated process integrated into online forms. 

93% of data quality leaders perceive that the effectiveness of tactics used to improve data quality is increasing  to some extent, with 40% saying the increase is significant.
Effectiveness will continue to increase when marketers consider how to prioritize data validation tactics and how to carry out the assignment of information quality responsibilities.

It is always possible to improve, overcome new challenges and break barriers, but to achieve this it is necessary to know each of the company's weak points and  not lose focus on  minimizing deficiencies , especially with regard to the quality of data marketing.

Strengthening the data structure will be the cornerstone on which countless other activities will be built to improve effective customer service.