Yield Optimization Reporter

Maximize revenue from your ad inventory

Yield management teams struggle to optimize pricing and fill across hundreds of placements.

Daily schedule: Runs every morning at 6 AM before trading begins
Fill rate drop: Triggers when placement fill rate falls 10%+ below 7-day average
Revenue summary: Daily and MTD revenue by channel
Fill rate by placement: Current fill vs. target vs. prior period

Yield Optimization Report

Daily analysis • Revenue opportunities identified

$84K upside
Fill Rate
89%
Avg CPM
$12.40
Revenue
$847Kyesterday
Floor Efficiency
94%
Optimization Opportunities
Homepage banner+$24K CPM upside
Video pre-roll+$18K fill opportunity
Mobile interstitial+$12K floor adjust
Recommended Actions
Raise homepage floorVideo demand reviewMobile targeting

Built for sales teams
who demand accuracy

Yield management teams struggle to optimize pricing and fill across hundreds of placements. Data lives in multiple SSPs (Supply-Side Platforms), ad servers, and reporting tools.

Director of Yield Management overseeing inventory monetization

Strategic oversight & escalation

Yield Analysts optimizing floor prices and fill rates

Data-driven insights

Programmatic Sales Managers managing demand partner relationships

Actionable client conversations

Ad Operations Leads monitoring inventory health

Stock accuracy & optimization

From alert to action in minutes

The objective of this agent is to increase advertising revenue by optimizing floor prices and fill rates.

Step 1

The Trigger

You define when the agent should activate. When conditions are met, it starts working automatically.

  • Daily schedule: Runs every morning at 6 AM before trading begins
  • Fill rate drop: Triggers when placement fill rate falls 10%+ below 7-day average
  • CPM opportunity: Activates when clearing price exceeds floor by more than 40%
Step 2

360° View

The agent opens a tailored dashboard consolidating data from all your systems.

  • Revenue summary: Daily and MTD revenue by channel (programmatic, direct, header bidding)
  • Fill rate by placement: Current fill vs. target vs. prior period
  • CPM distribution: Average, floor, and clearing CPM by placement and format
Step 3

Automated Analysis

The agent follows a structured analysis flow, combining checks with exploratory reasoning.

  • Floor price gap analysis: Identifies placements where clearing price exceeds floor by 30%+
  • Fill rate diagnosis: Examines demand participation and bid density for underperformers
  • Demand source comparison: Ranks SSPs and bidders by effective CPM and win rate
Step 4

Actionable Output

After analysis, the agent creates a human-friendly report with everything your team needs.

  • Executive summary: Total revenue, blended CPM, fill rate with health indicators
  • Pricing opportunities: Placements where floor increases are recommended
  • Fill rate issues: Underperforming placements with likely causes
Step 5

Delivery

Reports are sent automatically via email or accessed directly in Veezoo.

Key benefits for sales teams

Concrete, measurable value for your team from day one

Fast Action

Faster optimization cycles -- Before: weekly manual pulls across 5+ platforms

Now: daily analysis delivered automatically.

Fast Action

Revenue capture -- Identify floor price gaps quickly

Typical yield improvements of 3-8% on optimized placements.

Key Benefit

Demand partner visibility -- See which SSPs and bidders contribute value, informing partnership decisions.

Up and runningin production in weeks

To deploy this Agent, you connect Veezoo to your existing Data Warehouse, typically containing data from:

Ad server: Google Ad Manager, Xandr, or equivalent
SSPs: Prebid analytics, SSP reporting APIs (Magnite, PubMatic, Index Exchange)
Header bidding: Prebid.js analytics or wrapper-level reporting
DMP/CDP: First-party audience segment data
Inventory
CPM
Fill Rate
Demand
Ad Slot
Yield

Ready to explore Yield Optimization Reporter?

Fully customizable to your workflows, data sources, and business requirements.

Typical initial implementation in weeks, not months.