Shared economics
Evaluate Google, Meta, TikTok, and Amazon Ads against the same contribution standard.
Portfolio cross-channel intelligence
Vision puts every channel on the same profit map, then shows what is known, what is estimated, and how sure Malach is.
Shared economics reveal when one channel creates demand another captures, while store credentials and authority remain isolated.
Meta, TikTok, and Amazon Ads are live Portfolio intelligence inputs. Vision compares them through one profit model that accounts for uncertainty.
Capability, evidence, and authority stay visible from the first signal through the measured outcome.
Evaluate Google, Meta, TikTok, and Amazon Ads against the same contribution standard.
Identify demand transfer without accepting overlapping platform ROAS at face value.
Compare stores while keeping credentials, economics, and authority isolated.
Keep observed facts, estimates, ideas, and tests visibly distinct.
Carry data quality, updated probability, age, and attribution limits into the conclusion.
Define expected cost, probability, risk, budget, and stop conditions before an experiment.
Every live channel is evaluated against the same economic standard before cross-channel value is assigned.
Contributionᵢ = net revenueᵢ − variable costsᵢ − ad spendᵢThe Anti-Algorithm measures platform signals against your economics before capital receives authority.
P(H | E) = P(E | H) × P(H) ÷ P(E)Evidence updates confidence continuously instead of locking the system to yesterday’s assumption.
Brier = (1/N) Σ(pᵢ − oᵢ)²Forecasts are scored against outcomes so success and failure both improve the next decision.