Drawing from our extensive experience across European markets, we recognize the importance of adapting measurement strategies specifically to the DACH region. To successfully embed ourselves in these markets, we prioritize transparency at every stage of the measurement process.
Data science and finance teams in the DACH region place a high value on understanding, validating, and gaining confidence in the measurement methodology—often more so than in other markets. At Linea, we emphasize a collaborative approach to measurement, ensuring that our clients are closely involved throughout the process. By clearly outlining the methodology, data sources, and parameters that drive our results, we ensure that the findings are trusted across the entire organization—not just within the marketing department.
Traditional marketing performance measurement often provides a single "point estimate"—a single number representing the return on investment (ROI), cost per acquisition (CPA), or other key metrics. However, we understand that it is unrealistic to condense the performance of a marketing channel over a month into a single figure.
To address this, Linea presents both the average impact and the level of uncertainty around this estimate. This means that, rather than just reporting a single performance figure, we also provide a probability distribution to indicate how confident we are in the estimate. If the uncertainty is high, it signals that we cannot conclusively determine whether the channel is performing well or not. This approach ensures that clients understand the degree of confidence behind the results, empowering them to make informed decisions.
For example, a channel may show a high average impact, but if the uncertainty is also high, it suggests that the channel's performance is less predictable. Conversely, a channel with a lower average impact but lower uncertainty may be a more reliable performer, even if its overall impact is smaller.
This level of transparency allows Linea to optimize marketing efforts in a way that maximizes ROI while minimizing risk.
As an independent measurement provider, Linea is not affiliated with publishers, platforms, or agencies. Our commitment is to offer unbiased, data-driven insights into the true value of each marketing channel. This independence is crucial for building trust with our clients, allowing us to provide an objective assessment of their marketing performance and ensuring that the recommendations we make are fair and impartial.
In today’s data-driven landscape, conflicting data points are common. For instance, one report may show that a particular media channel is performing well, while another suggests the opposite. We understand the challenge this presents, especially when working with brands that manage multiple campaigns or assess the effectiveness of numerous media channels. To address this, we partner with our clients for a long-term measurement strategy focused on double verification. For example, our Marketing Mix Modelling (MMM) analysis may indicate that social media channels are underperforming, while last-click attribution suggests they are highly efficient. In such cases, we collaborate with our clients’ social media teams to conduct targeted incrementality A/B tests, verifying the findings and providing additional insights. By continuously refining the model based on test results, we are able to make data-backed recommendations and propose further tests to optimize the media mix. This iterative process ensures that brands can trust their marketing data and make informed decisions to improve performance over time.
In an era dominated by marketing platforms and vast amounts of data, it is essential to prioritize transparency and build trust with clients. By offering clear, actionable insights and a collaborative approach, Linea empowers brands to accurately measure and optimize the true impact of their marketing efforts.
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