Last-click attribution is a relic. We deploy probabilistic, multi-touch models that reveal what your TV and Audio dollars are actually doing to your bottom line.
Request an Attribution AuditTV and audio campaigns don't generate clicks — they generate awareness, trust, and demand that converts days or weeks later, often attributed by your reporting tools to a paid search ad. The Halo Effect is the invisible multiplier your current attribution stack is missing.
Our model learns a baseline from your historical sales data — stripping out seasonality, organic trends, and external noise. It then layers in the expected incremental effects of each paid media channel to isolate the true causal impact on your Amazon and retail sales, independent of the last ad clicked.
The model ingests 12–24 months of sales history to build a statistically robust organic baseline, separating genuine media lift from trend and seasonality.
Each channel's ad spend is modeled with adstock decay curves — capturing the carry-over effect of brand exposure across days and weeks after a campaign flight ends.
We measure incremental unit velocity, organic keyword rank lifts, and search share gains on Amazon as direct downstream effects of your broadcast investment.
Understand how TV primes paid social and search. Reveal the compounding multiplier effect where one dollar of TV spend generates $0.40–$0.80 of incremental digital lift.
Our three-stage Prescient AI pipeline transforms raw spend data into a forward-looking decision engine that tells you where to put tomorrow's budget — today.
Sales history ingested. Organic trend, seasonality, and external variables isolated. Clean signal established.
TV, audio, social, and search spend mapped with channel-specific adstock decay and saturation curves.
The model outputs daily ROAS forecasts, budget allocation recommendations, and channel saturation alerts.
Prescient AI's decision engine achieves 92% prediction accuracy in forecasting next-period revenue outcomes based on proposed spend allocations — validated against held-out actuals across hundreds of brand campaigns.
Brands that optimize spend based on model recommendations see an average 20–30% improvement in ROAS and CAC within the first 90 days — not by spending more, but by reallocating existing budget away from saturated channels and into under-invested ones.
Every attribution engagement we run is built on three foundational capabilities that turn measurement from a reporting exercise into a revenue growth lever.
TV and audio don't generate last-click conversions — but they generate demand. We unify these signals into a single attribution model that credits every channel for its true contribution to retail and Amazon sales velocity.
We move you from "wait-and-see" quarterly planning to daily optimization loops. With 92% prediction accuracy, the model tells you today where to shift tomorrow's budget before wasted spend compounds into a missed quarter.
The model outputs a clear saturation curve for every channel. Know exactly which channels still have room to grow — and which have hit diminishing returns — so you can reallocate budget with confidence and a financial model behind every decision.
Request a complimentary attribution audit. We'll run a diagnostic on your current measurement setup and show you exactly where the gaps are costing you growth.
Request an Attribution Audit Explore All ServicesTell us about your brand and current measurement setup. We'll run a complimentary diagnostic and show you exactly where your attribution model is leaving money on the table.