This dataset maps online IP activity to verified household identities by cleaning recycled, shared, and misassigned IP addresses and linking resolved IPs to a persistent identity graph. Designed for marketers and measurement teams, it improves audience targeting, ad attribution, and campaign reporting by providing household-level linkage between digital impressions and offline identities. The data enables deduplication of IPs, cleaner campaign measurement, audience reach optimization, and stronger ROI signals while preserving privacy and compliance. Scalable and privacy-forward, the dataset supports precision at scale for planning, activation, and performance measurement across display, video, and cross-channel campaigns.

Key attributes include:

• Cleans and deduplicates recycled, shared, and misassigned IP addresses

• Links IPs to verified household identities via an identity graph

• Household-level mapping for improved targeting and audience reach

• Enhanced measurement and attribution for impressions and CPM optimization

• Privacy-first collection and validation for compliant use

Value Summary:
Advertisers, measurement teams, and analytics groups gain a reliable foundation to connect online activity to households, reducing wasted spend and improving attribution accuracy. The dataset turns unreliable IP signals into actionable household-level insights for better targeting and performance.