Observed Signal · Nov 12, 2026 · Product Launch · Source: Koddi · Impact: 3/5
Koddi's Outcome Automation delivers new results as AI-powered yield optimization evolves
Koddi announced advancements in its AI-powered Outcome Automation, which uses predictive intelligence to align bids with advertiser performance goals while enabling commerce media networks to set network-specific optimization goals. The technology adapts to each marketplace's unique signals and business rules, moving beyond standardized ROAS-based automation. Proven results include a leading retail media network achieving 57% higher budget utilization, 26% more ad groups meeting ROAS goals, and another activation delivering 2x units sold, 2x transactions, and 1.9x advertiser revenue. Koddi positions this as a scalable foundation for networks to grow media revenue without proportional operational resource increases.
This announcement highlights Koddi's competitive edge in AI-driven yield optimization for commerce media, with concrete performance metrics that could influence advertiser and network adoption decisions.
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Key Takeaways & Evidence Grounding
- Koddi's Outcome Automation uses predictive intelligence to align bids with advertiser performance goals and network-specific optimization goals.
- A leading retail media network achieved 57% higher budget utilization, 26% more ad groups meeting ROAS goals, and 50% of eligible ad groups increasing spend after 10 days.
- Another activation delivered 2x units sold, 2x transactions, and 1.9x advertiser revenue.
- The technology adapts to each network's unique signals and business rules, moving beyond standardized ROAS-based automation.
Connected Companies & Entities
“Koddi is the company announcing advancements in its Outcome Automation product for AI-powered yield optimization.”
Ontology Mapping & Concepts
Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
Outcome-Based Advertising: Redefining Digital Marketing Success
ADZINE interviews Jan Gräwen on Outcome-based Advertising (OBA) and its rising importance in digital marketing. The discussion emphasizes shifting from reach-focused metrics like impressions and clicks to guaranteed, KPI-driven outcomes. KPIs include technical metrics (Viewability, In-View-Time, Attention, minimum CTR, VTR) and market-research KPIs (Brand Uplift, Store Visits). YOC operates its own supply-side platform (SSP) and uses machine learning to optimize campaigns by continuously analyzing inventory and placements, directing budgets toward placements with the highest likelihood of delivering the desired outcome. Pre-optimization uses historical placement data to forecast top environments before launch, shortening the learning phase. Independent measurement of Brand Lift is used (onsite surveys, panel studies, eye-tracking), with metrics such as Ad Recall, Brand Recall, Purchase Intent, and Cost per Lifted User. Store Visits are tracked by matching Web IDs with Mobile Ad IDs and locating users via GPS/WiFi. Dynamic Creative Optimization tailors creatives to placements, and attention is shown to extend beyond video to display formats when designed interactively.
How to launch a commerce media network
Koddi has published a strategic roadmap outlining seven key steps for businesses looking to launch a commerce media network across retail, travel, and financial services. The guide details core requirements, including first-party data differentiation, customer journey mapping across onsite, offsite, and on-premise environments, and technology infrastructure. It also references Koddi's sponsored Wiley publication, 'Building commerce media networks'.
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