The Faneros AI Mix Modeler
Hill saturation curves · Halo detection · Efficient frontier · AI as a channel
Channel name, monthly spend, and monthly conversions. But look at the bottom rows: AI Referrals (Tracked) and AI Dark Traffic (Estimated).
Twenty-nine channels to choose from — paid, organic, offline, and AI. This example uses twelve.
Bayesian attribution with uncertainty bands shows each channel's true contribution. Time series decomposition separates trend, seasonality, and marketing impact.
Potential lift identified — same budget, optimized allocation.
Hill saturation curves for every channel. The dots show current spend. The shaded bands are 80% confidence intervals.
Some channels are still climbing steeply — more spend would produce more results. Others have flattened out. The model finds the inflection point for each one.
The halo matrix reveals synergies invisible to traditional analytics.
When you invest in content, AI platforms recommend you more. The Bayesian model quantifies these cross-channel effects.
The efficient frontier shows maximum conversions at every budget level. Green dot = optimized. Red X = current.
↓ Cut TV by 50%
↑ Email Marketing +268%
↑ AI Referrals +119%
Specific. Actionable. Mathematically optimal.
Drag sliders to simulate budget changes in real time. The model recalculates Hill curves, halo effects, and predicted CPA for every scenario instantly.
A budget simulator built on real math, not guesswork.
Every Hill curve equation for every channel with fitted parameters. The same math used by pharmaceutical researchers and Fortune 500 marketing science teams.