In recent years, with the rapid evolution of digital marketing, data from various advertising media is overflowing. In this context, appropriately aggregating and visualizing data from each medium is important for effective marketing activities.
In recent years, with the rapid evolution of digital marketing, data from various advertising media is overflowing. In this context, appropriately aggregating and visualizing data from each medium is important for effective marketing activities.
First of all let's understand the Significance of Advertising Data?
The significance of advertising data lies in its ability to provide insights into the performance of marketing campaigns. It helps businesses understand:
Analyzing how consumers interact with ads to tailor future marketing efforts.
Assessing the effectiveness of advertising spend.
Refining targeting strategies to reach the most responsive audiences.
Determining which creative elements resonate best with the audience.
Guiding future marketing strategies based on historical data and predictive analytics.
Gaining insights that can provide an edge over competitors.
In a particular company, marketing measures had become individualized, and a unified policy or strategy had not been established. It was difficult to measure quantitative effectiveness due to the diversity of advertising, which made it difficult to make optimal investment decisions.
Additionally, the difficulty of aggregating data each time caused significant time loss and delays in effectiveness, and there were also issues in ensuring reliability, with the same data producing different results depending on the aggregation method and tool used.
By introducing reliable data collection tools and platforms, we unified and visualized data and achieved a sense of unity. Furthermore, by monitoring data from each advertising medium in real time, it is now possible to quickly determine marketing cost allocation.
As a result of being able to share a unified view of the data within the team, communication between members has become smoother and measures can now be implemented more effectively. Additionally, by being able to quickly make marketing cost allocation decisions, we were able to improve ROI and reduce any wastage of investment.
In marketing activities, itis important to understand advertising performance and user trends, which change daily. Therefore, by selecting tools and platforms that have a wide scope of data acquisition and are updated frequently, you will be able to obtain near-real-time information and make quick decisions.
Data quality is the foundation for accurately measuring the effectiveness of your marketing efforts. Inaccurate data or outliers can lead to incorrect decisions, so it's important to maintain data quality through regular data cleansing. In particular, when handling large amounts of data, processing such as checking for abnormal values and removing outliers is essential.
When making decisions based on data, everyone on the team is required to use the same standards for analysis and evaluation. Therefore, by setting and sharing clear guidelines, such as what indicators to use as standards and in what situations to take action, consistent decisions can be made and the effectiveness of marketing activities can be improved. can also be maximized.
Aggregating and visualizing digital marketing data is the key to maximizing the value of marketing. This time, we have taken up an example of how trocco® is used in a certain company's marketing operations, and introduced how to achieve this and the key points to put into practice.
Connecting scattered data is essential for improving the efficiency of integrating and visualizing advertising and marketing data, as well as optimizing channel-specific efficiency and resource allocation in ROI analysis. However, the process is error-prone and time-consuming.
For those who would like to know more specific solutions to solve such problems, please contact our Sales Support Global Team and we will be happy to help you !