Prescient AI's Media Mix Model measures and optimizes towards the incremental impact of every channel across your sales channels — including halo effects your attribution tool can't see. Updated daily. No guesswork.
The status quo
Your attribution tool says Meta is crushing it. Your CFO disagrees. Last-click gives credit to the last touch but misses the channels that started the journey — and ignores offline impact entirely. Platform-reported ROAS tells each channel it's the hero. Incrementality tests take months to run and can't cover everything. Meanwhile, you have no way to measure how online and offline channels work together.
The result?
30%+
of ad budgets are misallocated based on flawed attribution data
6–12 wks
typical wait for results from legacy MMM consulting engagements
0 visibility
into how channels influence each other, seasonality, or brand equity effects
The paradigm shift
Prescient AI's Media Mix Model combines the rigor of neural networks with the speed of modern machine learning. It quantifies the direct and halo impact of every channel — down to the campaign level — updates daily with fresh data, and delivers clear budget recommendations — not a 60-page PDF three months later.
Capabilities
Stop relying on what platforms report. Prescient's model isolates the incremental revenue each channel generates — separating the signal from the noise of organic trends and seasonality.
Every channel hits a point of diminishing returns. Prescient's campaign-level saturation curves show you exactly where that threshold is — so you move dollars to higher-return channels before overspending.
A Meta awareness campaign lifts branded search on Google. A TikTok viral moment drives Amazon sales. These halo effects are invisible to attribution — but they're real revenue. Prescient measures, forecasts, and optimizes towards them.
Trust, but verify. Prescient's validation layer lets you calibrate model outputs against geo-lift tests, holdout experiments, and platform incrementality data — so you know the numbers are reliable before you act on them.
Results
Brands using Prescient AI see an average 24% improvement in ROAS within the first 90 days.
24%
avg ROAS improvement
2x
faster than legacy MMM
90%+
model accuracy
0
engineering effort
“We trust Prescient implicitly with our media strategy. Their insights into measurement and optimization are invaluable, and their dedication to learning our business ensures that every recommendation helps us scale effectively at the top of the funnel.”
“With Prescient's guidance, we implemented MMM to explore and expand into new TOF channels, including podcasts. The daily insights at the campaign level gave us confidence to scale effectively and achieve measurable growth.”
“The support we get from Prescient goes above and beyond. They're not only a resource but a strategic partner who genuinely cares about our success, helping us integrate MMM insights into our workflow smoothly.”
“Our founder was blown away when I walked him through the platform… It's amazing. So so useful.”
“There is no other tool out there that can help me validate TV.”
Why Prescient
| Feature | Legacy MMM consultancy | In-platform attribution | |
|---|---|---|---|
| Update frequency | Daily/Weekly | Quarterly | Real-time (biased) |
| Halo effects | Sometimes | ||
| Time to first insights | 2 weeks | 6–12 weeks | Instant (single-channel) |
| Cross-channel view | |||
| Scenario modeling | Manual only | ||
| Requires data team | No | Yes | No |
| Validation layer | Varies |
FAQ
Most brands see their first actionable insights within 1–2 weeks of connecting data sources. Our models begin training immediately and update daily, so accuracy improves continuously from day one. No waiting 6–12 weeks for a consultancy deck.
Traditional MMMs update quarterly, require a consulting team, and deliver results as static PowerPoint decks. Prescient AI updates daily, includes cross-channel halo effects, and gives you a live dashboard with scenario modeling. You get the rigor of econometric modeling with the speed your team needs.
No. Most data flows through native integrations that connect directly to your ad platforms and analytics tools — no engineering tickets, no data warehouse required. For some data sources, we also allow manual CSV uploads. If you can log into your ad accounts, you can use Prescient.
Our Bayesian hierarchical model uses priors informed by benchmarks across 200+ brands. This means even channels with limited spend history get reliable estimates — not just "insufficient data" warnings. As you accumulate more data, the model continuously refines its estimates.
Yes. Prescient AI supports calibration with geo-lift tests, holdout tests, and platform-reported incrementality data. Our validation layer lets you compare model outputs against real experimental results — so you can trust the numbers before making budget decisions.
Prescient AI integrates natively with Meta, Google, TikTok, Snapchat, Pinterest, Amazon, CTV/OTT platforms, Shopify, and more. We also connect to analytics tools like Google Analytics and revenue sources. See the full list at our Integrations page. If you use it, we probably connect to it — and if we don't yet, our team will work with you.
Still have questions?
Book a 30-minute call. We'll walk you through the platform with your actual channels and share relevant case studies.
Book a demoLearn more
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Brands measured
Daily
Model updates
$2.2B+
Ad spend measured
2 wks
Time to value
In your demo, we'll analyze your current media mix and show you where budget is being wasted — and where the growth opportunities are.
Book your demo30-minute call · Custom analysis included · No commitment required