Is it time to move away from attribution? How Media Mix Modelling is taking over.

Traditional ways of measuring marketing, like last-click attribution, often miss the mark because they don't consider external factors like seasonality or competitor actions. Enter Media Mix Modelling (MMM) - a smarter way to see the whole marketing picture, both online and offline. It factors in all the external stuff and gives a clearer view of how each marketing channel is doing. Seeda has taken MMM up a notch with AI, making it even faster and more accurate. With Seeda's AI-driven MMM, businesses can pinpoint which marketing strategies work best, save money, and get insights quicker. So, if you're looking to level up your marketing game, Seeda's MMM might just be your next big move.


Accurately measuring marketing impact has always been challenging, as traditional attribution models often need to account for external factors. This has led to the rise of Media Mix Modelling (MMM), which offers a more comprehensive view of marketing performance. Businesses are increasingly adopting MMM for better insights, with Seeda's AI-powered MMM providing the opportunity to optimize marketing strategies, reduce costs, and experience immediate insights for maximum ROI.

Understanding Attribution and its Limitations

Attribution, the process of assigning credit to marketing channels, is a crucial aspect of evaluating marketing performance. Commonly used attribution models, such as last-click or first-click attribution, focus on specific touchpoints throughout the customer journey. However, these models have limitations that can significantly impact their effectiveness. Basically, if you start with incomplete data, you'll get and incomplete answer. 

One major limitation is the inability of attribution models to consider external factors, such as seasonality, economic trends, or competitor activities. These factors can significantly influence marketing performance, yet traditional attribution models often overlook them. Also, attribution models can rely too much on last-click attribution, which credits the final touchpoint before conversion. This can lead to an inaccurate representation of the true impact of various marketing channels, as it fails to account for the cumulative effect of all touchpoints.

Moreover, accurately measuring cross-channel impact poses a challenge for attribution models. With the increasing number of marketing channels and touchpoints, it has become more difficult to determine the precise contribution of each channel to the overall marketing success. This limitation highlights the need for a more comprehensive approach to measuring marketing performance, such as Media Mix Modelling.

The Power of Media Mix Modelling (MMM)

Media Mix Modelling (MMM) is a statistical analysis approach to measure marketing impact, incorporating both online and offline marketing channels. This advanced method provides a more comprehensive view of marketing performance compared to traditional attribution models, offering several key advantages.

Firstly, MMM provides a holistic view of marketing performance by considering the entire marketing mix, including digital and traditional media. This allows marketers to see the bigger picture and make more informed decisions about their marketing strategies. Secondly, MMM has the ability to account for external factors, such as seasonality, economic trends, and competitor activities. This ensures a more accurate representation of marketing performance, as it factors in the broader market context.

Finally, MMM offers a more accurate measurement of cross-channel impact. By considering all marketing channels and touchpoints, MMM can better understand the synergies between channels and their individual contributions to overall success. This enables businesses to optimize their marketing mix and allocate resources more effectively, ultimately leading to improved marketing performance and ROI.

Seeda's AI-Powered MMM: A Game Changer for Businesses

Artificial intelligence (AI) plays a pivotal role in enhancing Mixed Media Modelling, as it significantly improves the speed and accuracy of data processing. AI-powered MMM can continuously learn and adapt to changing market conditions, ensuring that businesses receive the most relevant and up-to-date insights for decision-making.

Seeda's AI-powered MMM offers several key benefits for businesses. By providing data-driven insights, businesses can optimize their marketing strategies and allocate resources more efficiently. This not only leads to improved marketing performance but also helps reduce costs by identifying the most effective channels. Furthermore, Seeda's AI-powered MMM saves time by automating analysis and reporting processes, allowing marketing teams to focus on strategic planning and execution.

Overall, Seeda's AI-powered MMM presents a transformative opportunity for businesses to enhance their marketing performance and stay ahead in the competitive landscape.


As the marketing landscape continues to evolve, the limitations of traditional attribution models become more apparent. The growing importance of MMM for businesses demonstrates the need for a more comprehensive approach to measuring marketing performance. Seeda's AI-powered MMM offers a transformative solution, helping businesses optimize their marketing strategies, achieve significant cost savings, and increase efficiency.

Experience the benefits of MMM firsthand by booking a demo with Seeda and discover how it can revolutionize your marketing efforts and drive maximum ROI for your business.

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