33%
+14%
19.5M
A financial services brand was buying across broad age and income demographics, but its product was only
relevant to households at particular life-stages — a new home, a growing family, approaching retirement.
Demographics alone couldn’t see that, so spend reached households with no current relevance.
Alive Data used household life-stage transition signals to suppress irrelevant households and prioritise those
moving into relevance, applied as a suppression-and-prioritisation layer over existing campaigns. No new
creative or channels.
Reading life-stage rather than demographics cut wasted impressions by around a third and lifted conversion by
roughly 14%, drawing on life-stage signals across 19.5M consumers.

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