Attribution Models

View-Through Attribution Pollution

Inflated ROAS metrics caused by Meta attributing conversions to users who only viewed ads, including employees and manual orders.

View-Through Attribution Pollution occurs when advertising platforms like Meta attribute conversions to ad impressions even when the user never clicked the ad. This creates 'false positive' conversions that inflate reported ROAS. Common sources include: employees viewing ads then processing manual orders, existing customers who would have purchased anyway, and organic traffic that happened to see an ad. The pollution is especially severe with default 7-day view + 1-day click attribution windows. Merchants often discover their 'amazing' 5x+ ROAS is actually 3x when view-through conversions are removed. Solution: Switch to 1-day view + 7-day click or click-only attribution to eliminate most false positives.

Related Terms

External Resources

Meta Attribution Settings

Frequently Asked Questions

What is View-Through Attribution Pollution?

View-Through Attribution Pollution is the inflation of reported Return on Ad Spend (ROAS) metrics that occurs when advertising platforms, such as Meta, attribute conversions to users who merely viewed an ad but did not click on it. This practice creates 'false positive' conversions, meaning the platform takes credit for sales that would have happened regardless of the ad view. This pollution is especially problematic because it includes conversions from non-incremental sources like employees processing manual orders or existing customers who were already on a path to purchase. The result is a misleadingly high ROAS that does not reflect the true effectiveness of the advertising spend.

How can marketers reduce or eliminate View-Through Attribution Pollution?

Marketers can significantly reduce View-Through Attribution Pollution by adjusting their attribution settings within the advertising platform. The most effective method is to switch from the default, longer view-through windows (e.g., 7-day view) to a click-only attribution model or a much shorter view-through window, such as a 1-day view and 7-day click window. By prioritizing click-through conversions, which indicate a more direct intent, and minimizing the credit given to simple ad views, advertisers can eliminate most false positives. This provides a more accurate and conservative ROAS figure that better reflects the true incremental impact of their ad campaigns.

Why is View-Through Attribution Pollution a critical problem for e-commerce businesses?

View-Through Attribution Pollution is a critical problem for e-commerce businesses because it leads to flawed decision-making and budget misallocation. When ROAS is artificially inflated (e.g., a reported 5x ROAS is actually 3x), marketers may mistakenly scale campaigns that are not truly profitable, leading to wasted ad spend and a decrease in overall business profitability. The pollution masks the true performance of ad channels, making it impossible to accurately calculate the Customer Acquisition Cost (CAC) and the true return on investment (ROI). This discrepancy is a major pain point for finance teams and CFOs who require accurate data to justify marketing budgets.

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