Podscribe, a pacesetter in podcast attribution and incrementally testing, announces the growth its machine graph capabilities by combining Tapad (Experian) and Neustar (TransUnion) Machine Graph know-how. This enhancement delivers unprecedented scale and accuracy in viewers measurement.
Key Developments
The improved Double Machine Graph achieves:
- 85%+ US family match charges
- 3x improve in digital identifiers for matching
- Greater confidence matches by means of dual-graph triangulation
- Improved conversion monitoring by means of expanded digital identifier protection
Expanded Viewers Intelligence
By the TransUnion partnership, Podscribe now gives complete Neustar viewers segments, enabling advertisers and publishers to:
- Entry detailed family demographics and behaviors
- Monitor segment-specific marketing campaign efficiency
- Determine top-converting viewers segments
- Match advertisers with optimum podcast audiences
- Create focused content material primarily based on verified listener profiles
“By combining the 2 main US machine graphs, we’re setting out a brand new customary for measurement accuracy in podcast promoting,” says Matt Drengler. “Our purchasers can now make choices primarily based on precise listener conduct, not assumptions.
Availability
The improved Double Machine Graph capabilities can be found instantly for all Pudscribe measurement purchasers.
About Podscribe
Podscribe focuses on attribution and incrementally testing for podcasts, streaming, and past. Leveraging pixel-based monitoring and household-level information, Podscribe delivers actionable insights, empowering advertisers to measure true marketing campaign methods, and confidently report ROI.
