Attribution & marketing mix modeling · Prescient AI
Prescient AI
Predictive marketing measurement platform for e-commerce that forecasts incremental revenue from spend changes before they happen.
Prescient AI builds a predictive model of each channel's incremental contribution to revenue, aimed specifically at e-commerce brands, and uses it to forecast the effect of a spend change (raise Meta budget by 20%, cut TikTok in half) before the advertiser commits the budget, rather than only reporting on what already happened. It sits closer to media mix modeling than click-based multi-touch attribution, reading order and cost data from the store and ad platforms and continuously retraining as new data arrives. Its differentiator against attribution-first tools like Northbeam is the forward-looking simulation layer: the output is framed as a budget-planning tool, not just a measurement dashboard.
At a glance
| Vendor | Prescient AI |
|---|---|
| Pricing model | Quote only |
| Free tier | No |
| Deployment | Cloud |
| Open source | No |
| Best for | E-commerce brands wanting to simulate the revenue impact of a budget change before spending it. |
Pricing
Custom quotes based on ad spend; pricing is not published.
Pricing has not been verified yet — see the vendor's site.
Features
- Predictive incrementality modeling per channel
- Forward-looking budget-change simulation
- Continuous model retraining on new order and spend data
- Shopify-native order and revenue matching
- Channel-level incremental ROAS reporting
- Scenario comparison for budget planning
Integrations
Profile last reviewed September 21, 2026