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How to Integrate and Visualize Multiple Advertising Data and its Key Points

Data Integration in data mining
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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.

Data and its Key Points

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:

  • Consumer Behavior:

Analyzing how consumers interact with ads to tailor future marketing efforts.

  • ROI Measurement:

Assessing the effectiveness of advertising spend.

  • Targeting Efficiency:

Refining targeting strategies to reach the most responsive audiences.

  • Creative Analysis:

Determining which creative elements resonate best with the audience.

  • Strategic Planning:

Guiding future marketing strategies based on historical data and predictive analytics.

  • Competitive Advantage:

Gaining insights that can provide an edge over competitors.

Details of the Client’s Challenge

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.

What was the Solution ?

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.

Where to use the integrated data
Practical content or effects
Constantly monitor advertising ROI and make early improvements
Tableau (BI)
Improve ROI by delivering ads to the right segments
HubSpot (MA)
Reducing analysis man-hours through customer recommendations using ML
Vertex AI (ML)

What Were the Benefits?

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.

Some Key points when integrating and visualizing data from multiple media-

Selection of tools and platforms with emphasis on data acquisition range and update frequency

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.

Perform regular data cleansing and check for abnormal values

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.

Setting Clear Guidelines

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.

Conclusion

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 !

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