Value-based attribution
Value-based attribution assigns the monetary value of a conversion — not just a count of one — across the touchpoints in the path. It matters because optimizing for conversion counts treats a low-value and a high-value sale identically; distributing value lets bidding and analysis favor the channels that bring more revenue, provided conversion values are passed accurately.
What this means
Most attribution distributes a unit of conversion credit. Value-based attribution distributes the conversion's value instead — for example splitting a $400 order's value across the channels in its path according to the chosen model (linear, position-based, data-driven, and so on).
This changes the picture whenever conversions differ in worth. A channel that drives many small conversions and one that drives fewer large ones can look equal by count but very different by value. Value-based credit makes that visible and feeds value-aware bidding strategies like target ROAS.
Why accurate values are the prerequisite
Value-based attribution is only as good as the conversion values you send. If every conversion is passed with a flat or missing value, value-based credit collapses back to count-based. Passing real, per-conversion values — order totals, predicted lifetime value, lead quality scores — is what gives the model something to distribute.
Google and other platforms document conversion-value tracking and value rules. The discipline is upstream: instrument values correctly and consistently, then the attribution model can meaningfully allocate them. Without that, value-based attribution offers no advantage over counting.
- Distributes revenue/value, not a flat conversion count
- Surfaces channels that drive higher-worth conversions
- Depends entirely on accurate conversion-value tracking
How it appears in analytics and logs
When channels with similar conversion counts show very different credited value, value-based attribution is surfacing differences in the worth of the conversions each drives.
Diagnostic use case
Use value-based attribution and pass accurate conversion values so credit and bidding reflect revenue contribution rather than treating every conversion as equal.
What WebmasterID can help detect
WebmasterID can record conversion value on first-party conversion events, the input value-based attribution and value bidding depend on.
Common mistakes
- Enabling value-based credit while sending flat or missing values.
- Confusing high conversion counts with high conversion value.
- Ignoring data quality in the conversion values being passed.
Privacy and accuracy notes
Value-based attribution operates on conversion values and recorded paths, not personal identity. This page is educational, not legal advice.
Related pages
- Conversion credit distribution
Conversion credit distribution describes how an attribution model allocates the credit for a conversion across the interactions that preceded it. Every model — single-touch or multi-touch, rules-based or algorithmic — is fundamentally a different distribution rule. Understanding distribution as the shared concept clarifies why models disagree even on identical paths.
- Data-driven attribution: promise and caveats
Data-driven attribution (DDA) assigns credit using a model trained on a site's own conversion paths rather than a fixed rule like last-click. Done well it credits assist touches more fairly. Its caveats are real: it needs enough conversion volume, it is a model not a measurement, and it cannot see touches that were never tracked.
- Fractional attribution
Fractional attribution assigns each touchpoint a fraction of a conversion rather than the whole credit, so a multi-touch path distributes one conversion across several channels. It is the mechanism behind linear, time-decay, position-based, and data-driven models, and it explains why per-channel conversion counts can be decimals that still sum to the real total.
- CTA tracking
Attach values to conversion events you track.
Sources and verification notes
- Google Ads Help — About conversion value rulesDocuments assigning and adjusting conversion values used in value-based bidding.
Last reviewed 2026-06-24. Facts are checked against primary/official sources where available; uncertain specifics are marked “Data not yet verified” rather than guessed.