Case Study: Nextdoor reduces misattribution by 25% with Branch’s People-Based Attribution

Nextdoor reduces misattribution by 25% with People-Based Attribution

Nextdoor, the private social network connecting neighbors and communities, faced attribution challenges from legacy fingerprinting methods that caused both over- and under-attribution of installs. Their complex acquisition funnel—where users might visit the site, later click an ad, or interact across devices—made it difficult to accurately tie conversions to paid channels.

Branch’s People‑Based Attribution built anonymized, resettable personas that unify cookies and device IDs across interactions, enabling reliable deduplication and cross‑channel measurement. As a result, Nextdoor saw a 25% reduction in misattributed installs and more accurate, actionable acquisition reporting without conflicts with organic channels.

Nextdoor

Dan Laufer

Director of Growth & Partnerships