attribution-report

Multi-touch attribution analysis allocates conversion credit across marketing channels using first-touch, last-touch, linear, time-decay, position-based, and data-driven models side-by-side. This reveals over-credited last-click channels and identifies real conversion paths to correct budget misallocation.

To calculate attributed ROAS and cost per attributed conversion, the analysis computes fractional attributed conversions and attributed revenue per channel under each selected attribution model. This isolates true channel performance rather than relying on last-touch defaults.

The best way to reallocate marketing budget is to identify under and overvalued channels from attribution gaps between models. The analysis then recommends budget shifts with projected impact and risk, optimizing spend toward channels driving actual journey touchpoints.

Yes, multi-touch attribution applies to marketing measurement workflows for different conversion event types. You can configure time ranges and define specific conversion lookback windows to analyze how credit shifts across customer journeys.

Yes, data-driven attribution requires loading active brand context and merging journey touchpoints from analytics, ads, and CRM sources. This unified dataset is required to execute selected attribution models and output structured per-model channel metrics.

Journey health diagnostics classify channel roles by producing path length and time-to-conversion distributions alongside assisted-to-last-touch ratios. This contextualizes whether channels function as initiators, drivers, or closers within the multi-touch customer journey.