AI yield
Where AI moves the needle
Three tiers. Tier 1 ships first (direct revenue lift). Tier 2 cuts you out of intake. Tier 3 builds the moat. All routed via QAICX with cost-tier model selection.
Tier 1 — Direct revenue lift
Smart yield optimization
Predictive CTR/CPM scoring on every impression. Sub-30ms via Haiku or Groq Llama 8B.
Target lift: 20–40% effective CPM
Real-time fraud filtering
Score every impression as human/bot before billing. CF Bot Score + behavioral + network IP history.
Target: >95% known-bot detection
Anomaly + revenue alerts
Watches CPM, fill, CTR, conversion. Pushes when a metric breaks band.
Replace dashboard-watching with push
Tier 2 — Advertiser self-service
AI advertiser onboarding
Paste URL → AI proposes copy, zones, bid, and 3 banner variants.
Creative generation
Banner images via Flux / SD-XL. Copy via Claude Sonnet. Multi-armed bandit promotes winners.
Tier 3 — Network effects (the moat)
First-party intent layer
Cross-site signals from the Sagentica network feed the targeting graph. The moat.
Audience clustering
Unsupervised segments — "CPaaS buyer, voice-first, evaluating" — sold as premium targeting.
Model tier routing
- Layer 1 (Opus) — fraud rule generation, anomaly investigation, weekly strategy.
- Layer 2 (Sonnet / Groq 70B) — advertiser onboarding, copy generation.
- Layer 3 (Haiku / Groq 8B) — every-impression yield scoring <30ms.
- Local (Ollama) — offline reports, sensitive intent clustering.
Set provider API keys in .env to activate.