Attribution Confidence Ladder

The Attribution Confidence Ladder ranks measurement methods by how much causal weight they can carry in a client conversation. Last-click sits at the bottom: cheap, fast, and structurally biased toward whatever touchpoint closed the deal. Multi-touch attribution climbs a rung by spreading credit across the journey, but it still infers causation from observed correlation. Media mix modeling climbs higher by modeling channel-level lift and halo effects across the whole portfolio, though it depends on the quality of the spend and outcome data feeding it. Incrementality testing sits at the top because it holds out spend and measures the counterfactual directly. For agencies, the ladder is a budgeting and pitching tool: match the rung to the decision at stake. A $5k monthly retainer does not need a geo holdout, but a $250k quarterly media plan does. SegmentStream and Measured both combine cross-channel attribution with incrementality testing, while Prescient AI leans on daily-updated MMM to quantify halo effects that last-click cannot see.