Case Study

Nextdoor reduces misattribution by 25% with People-Based Attribution

Nextdoor reduces misattribution by 25% with People-Based Attribution

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Follow Branch CASE STUDY Nextdoor reduces misattribution by 25% with People-Based Attribution Nextdoor, the popular private social network connecting neighborhoods and communities around the world, relies on Branch’s People-Based Attribution Engine for accurate advertising attribution. Since People-Based Attribution uses anonymized, resettable identifiers to build personas that unify each user’s cookies and device IDs into a single identity, Branch provides attribution that is substantially more accurate and actionable than cookie-based or fingerprint-based methods alone. Using Branch’s People-Based Attribution, Nextdoor reduced misattributions by 25%. Ready to ignite your mobile growth? Visit branch.io to request a demo or get started today. © 2018 Branch Fewer misattributio

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