Ad inventory management is a constant balancing act. Deliver too aggressively and you consume premium inventory you could have sold at a higher rate. Deliver too conservatively and you risk underdelivering a committed campaign – triggering makegoods.
Manual pacing rules are set once and rarely updated - they cannot respond to real-time changes in viewership, demand, or inventory availability.
Campaigns pacing ahead of schedule consume premium inventory that could be reallocated to higher-yield opportunities - leaving money on the table.
Campaigns pacing behind schedule are identified through delayed reporting - by the time the team responds, the window to correct delivery has narrowed or closed.
Ad ops teams manually adjust pacing for hundreds of campaigns simultaneously - an unsustainable model that creates both delivery risk and operational burnout.
The Inventory Optimization Multiplier connects to your ad delivery infrastructure on Databricks, analyses delivery signals continuously, and adjusts pacing intensity automatically – protecting committed campaigns and preserving premium inventory.
The IOM connects to your ad server, inventory management system, and campaign data on Databricks.
Delivery signals are analysed continuously, comparing actual pacing against commitment thresholds and yield targets in real time.
When underdelivery risk is detected, the multiplier automatically increases delivery intensity - before the shortfall occurs.
When a campaign is over-pacing, the multiplier pulls back - flagging freed premium inventory for reallocation to higher-yield opportunities.
Freed inventory is identified and surfaced for reallocation to campaigns with higher CPMs, premium advertisers, or strategic priority placements.
Delivery outcomes, yield improvements, and reallocation decisions are tracked and reported - giving leadership evidence of the revenue impact of dynamic pacing.
The Inventory Optimization Multiplier provides dynamic, real-time control over campaign delivery intensity – protecting committed campaigns from underdelivery while preserving premium inventory from unnecessary over-pacing.
Continuous analysis of first-party and third-party delivery signals – comparing actual pacing against commitment thresholds and yield targets as impressions are served.
Dynamic delivery intensity adjustments for active campaigns – scaling up for underdelivering campaigns, scaling back for over-pacing ones, automatically.
Proactive identification of at-risk campaigns before shortfall occurs – triggering corrective action while there is still time to close the gap.
Identification of campaigns consuming inventory ahead of schedule – with freed premium inventory flagged for reallocation to higher-yield opportunities.
Yield optimisation targets configurable by campaign type, advertiser tier, rate segment, or inventory scarcity level – reflecting your specific monetisation priorities.
End-to-end tracking of delivery outcomes, yield improvements, and reallocation decisions – with revenue impact measurement for leadership visibility.
When delivery intensity is managed dynamically – protecting committed campaigns and preserving premium inventory – revenue yield improves and operational workload decreases simultaneously.
Fewer Underdelivery Makegoods
Pacing issues are caught and corrected automatically - reducing the underdelivery incidents that generate expensive makegoods and erode client trust.
Higher Revenue Yield
Every impression is directed to its highest-value use - increasing yield without adding manual work or changing how campaigns are booked.
Premium Inventory Preserved
Over-pacing campaigns no longer consume premium inventory unnecessarily - that inventory is preserved for realisation at a higher rate.
Ad Ops Teams Focused on Strategy
With automated pacing management, ad ops teams spend less time on manual intervention and more time on yield strategy and client relationships.
Manage campaign delivery and inventory yield simultaneously - without the manual overhead of tracking hundreds of campaigns and adjusting pacing rules by hand.
Maximise revenue from every impression. IOM identifies over-pacing and frees premium inventory for reallocation before the opportunity is gone.
Balance delivery commitments and yield targets across your full inventory footprint - with real-time data instead of yesterday's pacing reports.
Ad technology infrastructure that manages delivery at scale - automating pacing decisions that would otherwise require constant manual intervention.
The Inventory Optimization Multiplier is built on Databricks and integrates with major ad servers, inventory management systems, and OMS platforms – connecting to your existing ad delivery infrastructure.
Explore insights on inventory yield management, campaign pacing optimisation, and ad delivery automation for media and ad operations teams.
Yield is calculated based on your rate card structure, campaign priority, and inventory scarcity signals. The model is configured to reflect your specific monetisation priorities – not generic industry benchmarks.
Yes. IOM handles both, with different optimisation logic for each – delivery assurance for guaranteed campaigns and CPM optimisation for non-guaranteed impressions.
Yes. IOM connects to major OMS platforms and ad servers through Databricks connectors, including Operative, Wide Orbit, and custom integrations.
IOM is built to handle latency in delivery data. It uses confidence-weighted signals and can operate with partial data without generating false corrections.
Fully configurable by campaign type, advertiser tier, rate segment, and inventory category – the model reflects your specific business rules, not one-size-fits-all defaults.
