A major media company’s ad sales and campaign delivery operations were trapped in legacy, manual workflows.
Valuable data existed across the organization but sat fragmented across disconnected systems, an order management system, CRM, ad server, and analytics platform, linked only by loose primary keys. Sales teams missed upsell opportunities because relevant context was buried in documents and siloed tools. Campaign delivery ran reactively with high manual load across trafficking, QA, and reporting. Inaction meant continued revenue leakage and operational drag at scale, with no path to modernization that didn’t require a years-long system overhaul.
3C Ventures built bespoke LLM-powered modular agents layered on a federated BigQuery data backbone, delivering intelligent audience segment recommendations during RFP responses, automated campaign trafficking and QA, and anomaly detection across delivery signals.
AI-powered audience segment recommendations during the RFP process gave sales teams faster, more informed pitches, increasing close rates and surfacing upsell opportunities previously buried in unstructured documents and disconnected systems.
Automated trafficking, QA, and campaign summary generation removed manual grunt work from post-sale workflows, freeing operations teams for higher-value activities and increasing throughput without adding headcount.
Modular anomaly-detection agents flagged delivery problems across federated campaign signals early, shifting the team from reactive firefighting to proactive campaign management and reducing client-facing errors significantly.
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