Yield Analytics Framework

Yield Management strives to maximize the revenue returned by a perishable sales unit. This requires not only an ongoing analysis of vast amounts of data, but also leveraging that data when making product, marketing, and operational decisions. 

RevHouse helps publishers gain a better understanding of where there strongest and weakest inventories are to enable executives to create demand for present day inventory.

Identify Shadow Inventory

Identify Shadow Inventories

Identify over/under priced inventory segments

Identify over/under priced inventory segments

Lift CPMs yielded from direct and programmatic markets

Lift CPMs Yielded from Direct & Indirect Markets

Analytics

  • POS Price Valuation Frameworks
  • Unified Auction Views
  • Bid Density Reporting
  • Map data across non-standard reporting views.
  • Parse taxomony meta data to facilitate deeper root cause analysis
  • Attribution Modeling

Yield Management

  • Tier 1 inventory productization and optimization
  • Tier 2 inventory segmentation for programmatic UIs/storefronts
  • Intelligent floor pricing
  • PMP Help Desk
  • Private deal prospecting and pipeline developement
  • Pre-Bid/ Unified Auction Implementation
  • Black/White List Developement

Data Visualization

  • Data Consolidation and Aggregation
  • Data ETL
  • Dashboard Schematic Design
Analytical Quadrant Framework for Inventory Valuation

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