Campaign ROI (Return on Investment) measures the profitability of a marketing campaign by comparing the revenue generated to the cost invested.
The formula is straightforward: subtract the campaign cost from the revenue attributed to the campaign, divide by the campaign cost, and multiply by 100 for a percentage. However, accurately attributing revenue to specific campaigns has become increasingly complex.
Traditional attribution models rely on cookies to track user journeys from ad impression to conversion, and as privacy regulations and browser restrictions limit cookie-based tracking, gaps appear in the attribution chain that can make campaign ROI calculations inaccurate.
When users decline marketing cookies, their conversion events cannot be attributed to the campaigns that drove them. Studies show that consent rates for marketing cookies typically range between 40-70%, meaning a significant portion of conversions go untracked.
This creates a measurement blind spot that can lead businesses to undervalue effective campaigns and misallocate budgets. Understanding the relationship between consent rates and measurement accuracy is essential for interpreting campaign ROI correctly in a privacy-first environment.
Seers.ai helps businesses maintain more accurate campaign ROI measurement through Google Consent Mode v2 integration. When users decline cookies, Consent Mode sends cookieless pings to Google that enable modelled conversions, filling in attribution gaps without compromising user privacy.
Combined with server-side tagging support, Seers ensures that your marketing measurement remains as complete as possible while staying fully compliant with privacy regulations.
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