Tapad provides a privacy‑first, AI‑driven cross‑device identity graph that links individual devices to households at global scale. By ingesting hashed first‑party identifiers and applying deterministic and probabilistic matching, the platform delivers real‑time data enrichment via APIs and a dashboard for targeting, measurement, and attribution. The solution maintains GDPR/CCPA compliance and continuously updates the graph through machine learning.
Funding
$18.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Marketers struggle to connect a single consumer’s activity across the fragmented landscape of devices and channels, which hampers precise targeting, accurate media measurement, and effective attribution.
Solution
Tapad delivers the Tapad Graph, a privacy‑first, AI‑driven cross‑device identity graph that links individual devices to households at global scale. By ingesting first‑party identifiers (hashed email, IP, mobile IDs, CTV signals) and applying deterministic and probabilistic matching, the platform creates a unified view of each consumer. The graph is exposed via secure APIs and a web dashboard, enabling brands, agencies, and platforms to enrich their data sets, execute programmatic campaigns, measure reach, and attribute conversions with higher confidence. Continuous machine‑learning updates keep the graph current while respecting data‑privacy regulations.
Target Audience
Primary users are brands and advertisers, media agencies, and ad‑tech platforms that require reliable cross‑device targeting, measurement, and attribution capabilities.
Features
- AI‑enhanced identity resolution that combines deterministic signals (hashed email, login IDs) with probabilistic modeling to link devices at the household level.
- Global coverage of billions of devices across desktop, mobile, and connected TV, supporting cross‑channel campaign planning.
- Privacy‑compliant onboarding pipelines (hashed‑email, IP, mobile connections, CTV) that hash or tokenize personally identifiable information before ingestion.
- Scalable RESTful API and SDK integrations for real‑time data enrichment within ad‑tech stacks, DSPs, SSPs, and analytics platforms.
- Interactive web dashboard with audience segmentation, reach forecasts, and attribution reporting, exportable via industry standards (e.g., FHIR, CSV).
- Continuous machine‑learning updates and anomaly detection to maintain graph accuracy and reduce drift over time.
- Enterprise‑grade security, including end‑to‑end encryption, role‑based access controls, and compliance with GDPR, CCPA, and other privacy frameworks.