viewabilityvscohortanalyse
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Cohort analysis segments users or customers into groups based on shared characteristics or behaviors over a specific time frame, enabling marketers and digital strategists to track how these groups engage with content or campaigns over time. Viewability, which measures the percentage of an ad or content that is actually seen by users (e.g., how much of a digital ad appears in the visible portion of a screen for a minimum duration), directly impacts the quality and reliability of engagement data collected from these cohorts. By integrating viewability metrics into cohort analysis, businesses can differentiate between cohorts that had genuinely visible ad exposures versus those with low or no viewability, refining attribution models and improving the accuracy of performance insights. This integration allows marketers to identify which cohorts respond better when ads are truly seen, optimize media buying by focusing on placements with higher viewability for valuable cohorts, and tailor digital strategies to enhance both user engagement and ROI. Without factoring in viewability, cohort analysis risks overestimating the effectiveness of campaigns due to impressions or interactions that were never actually viewed, leading to misguided strategic decisions.
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cohortanalyse
A cohort analysis is a subset of behavioral analytics that takes data from a given dataset and rather than looking at all users as one unit, it breaks them into related groups for analysis. These groups, or cohorts, usually share common characteristics or experiences within a defined time-span, allowing for the study of patterns and trends over time.
viewability
The quality or state of being visible or capable of being seen, especially in contexts such as advertising or display screens.