Running campaigns across multiple platforms means managing multiple data sources, multiple pacing signals, and multiple risk factors simultaneously. Most ad operations teams are reactive – they find out about delivery problems after revenue has already been lost.
Campaign data lives across ad servers, trafficking systems, and order management platforms with no unified view of pacing status or delivery risk.
Underdelivery is identified through delayed reports or client complaints - by the time teams respond, the revenue impact has already occurred.
Ad ops teams manually track hundreds of campaigns, making consistent monitoring impossible. Critical issues are missed in the noise.
Undetected underdelivery leads to expensive makegoods, client credits, and damaged relationships that compound over time.
CampaignNova Autopilot fuses ad server logs, inventory data, contracts, and performance metrics into a unified real-time intelligence layer. It identifies delivery risks early and generates specific recommendations – not just alerts.
CampaignNova connects to your ad servers, inventory management system, and contract data on Databricks - no new infrastructure needed.
The platform ingests and normalises delivery data in real time, creating a unified campaign view across all active orders and platforms.
Delivery risk scoring identifies at-risk campaigns hours or days before a shortfall - not after. Risk scores update continuously as pacing data arrives.
Specific recommendations - pacing adjustments, inventory swaps, escalation triggers - are generated automatically with clear business context for each.
Alerts are routed to the right team members by campaign type, priority tier, and delivery risk level - with enough context to act fast.
Every issue detected, every action taken, and every resolution is tracked - giving operations leaders a full picture of campaign health and revenue protected.
CampaignNova Autopilot fuses ad server logs, inventory data, and contract commitments into a unified real-time intelligence layer. It monitors campaign pacing, identifies delivery risks early, and generates specific recommendations.
Unified view of all active campaign pacing across every ad platform – updated continuously as delivery data arrives.
Per-campaign risk scores updated in real time, surfacing at-risk campaigns hours before shortfall – not after.
Specific pacing adjustments, inventory swaps, and escalation triggers generated automatically with business context.
Supports linear, digital, programmatic, and CTV campaigns – normalised into a single intelligence layer on Databricks.
Alerts routed by campaign priority, risk level, and team responsibility – not raw log dumps or generic notifications.
End-to-end tracking from detection through resolution, with revenue impact measurement for every campaign issue addressed.
When campaign delivery risk is identified early and recommendations tell teams exactly what to do, revenue outcomes improve measurably without adding headcount or manual monitoring effort.
Fewer Makegoods and Client Credits
Catching pacing issues early means fewer underdeliveries - and fewer expensive makegoods that erode margin and client trust.
Faster Issue Resolution
Ad ops teams spend less time on manual monitoring and more time on resolution - with recommendations that tell them exactly what to do.
Higher Revenue Yield
Inventory is allocated to campaigns with the highest delivery confidence - improving yield without adding manual work.
Stronger Client Retention
Campaigns that consistently deliver as contracted build the client confidence that protects and grows revenue relationships.
Get a real-time view of delivery health across every campaign, every platform, and every client - without waiting for a report.
Know which campaigns need attention right now. Act on specific recommendations instead of investigating from scratch.
Protect client relationships by catching delivery issues before clients do - and before makegoods are necessary.
Measure campaign delivery performance against revenue commitments and identify systemic issues before they recur.
CampaignNova Autopilot is built on Databricks and integrates with major ad server and campaign management platforms to connect to your existing ad infrastructure.
Explore insights on campaign intelligence, ad operations automation, and revenue protection for media companies.
CampaignNova supports major ad servers including FreeWheel, GAM, and Operative, as well as programmatic platforms and custom integrations via Databricks connectors.
Delivery data is typically available within 15–30 minutes of impression activity, depending on ad server log latency.
No. CampaignNova is managed within your Databricks environment and is designed for ad operations users — not data engineers.
Yes. CampaignNova is built for converged media environments and supports linear ratings-based campaigns alongside digital impression-based orders.
Recommendations are generated from delivery risk models trained on your own campaign history — reflecting your specific inventory, pacing patterns, and rate structures.
