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Cadent Collaborates with Google Cloud to Bring Data ...
Cadent's AI model using Google Cloud's Gemini Enterprise boosts campaign return on ad spend by 35% and cuts platform issue resolution time to under 12 minutes.
- On Dec. 8, 2025, Cadent, the predictive advertising company, and Google Cloud announced an expanded collaboration using Gemini Enterprise that raised campaign ROAS by 35 percent.
- To reduce manual effort, Cadent rebuilt its client-facing platform and developed custom AI agents grounded in Confluence and Salesforce, saving employees more than 3,000 hours.
- Deploying Gemini Enterprise, Cadent rolled the model out to 600 employees, achieving 75 percent adoption in 90 days and generating 90,000 interactions while increasing campaign resolution by 200 percent.
- Google Cloud's Sam Sebastian said, `Cadent has demonstrated how focusing on the business problem first, and leveraging a strong data foundation, yields significant results when deploying AI-native architecture` as AI agents support GTM teams with RFI generation and planning, freeing agencies for strategy.
- The launch builds on Cadent's unified AI and ML infrastructure on Google Cloud, marking a milestone as Cadent operates 22,000 AI-driven models and ignites 200 billion connections daily.
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Cadent Collaborates with Google Cloud to Bring Data-Driven Intelligence to Advertisers, Delivering 200 Percent Increase in Campaign Resolution
New AI operating model has increased campaign return on ad spend (ROAS) by 35 percent while reducing platform issue resolution to under 12 minutes
Cadent and Google Cloud Join Forces to Deliver Data-Driven Intelligence, Boosting Campaign Performance
Cadent, the predictive advertising company known for bridging brands, publishers, and consumers across screens, has announced an expanded collaboration with Google Cloud. The partnership aims to bring advanced AI capabilities — including Google Cloud’s new Gemini Enterprise and Vertex AI – into Cadent’s advertising platform, promising dramatic gains in campaign performance, speed, and operational efficiency. Under this new AI-powered operating m…
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Total News Sources21
Leaning Left3Leaning Right3Center4Last UpdatedBias Distribution40% Center
Bias Distribution
- 40% of the sources are Center
40% Center
L 30%
C 40%
R 30%
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