Prescient provides a Media Mix Model that quantifies the incremental impact of every advertising channel, including hard‑to‑measure halo effects, enabling omnichannel brands to scale spend on tactics that truly drive revenue.
Funding
$10M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
2OFounders
Product
Problem
Brands that spend heavily across multiple advertising channels lack a reliable way to measure the true incremental impact of each channel, especially the indirect “halo” effects that traditional attribution misses. This leads to misallocation of budget, delayed insights, and difficulty forecasting ROI when scaling spend.
Solution
Prescient AI offers a cloud‑based Media Mix Modeling platform that quantifies the incremental revenue contribution of every marketing channel, including cross‑channel halo effects, adstock, and saturation dynamics. The model updates daily using data automatically connected from over 65 ad and analytics sources, delivering near‑real‑time forecasts and confidence intervals. Users can run scenario‑based budget reallocations to see projected ROAS outcomes before spending, and the platform validates its outputs against geo‑lift tests and other incrementality experiments. This enables growth teams to reallocate spend with confidence and accelerate revenue growth without waiting months for consultancy reports.
Target Audience
Prescient AI is designed for growth‑focused marketing, finance, and operations teams at omnichannel brands spending $100K+ per month on advertising, including DTC, Amazon, and retail sellers, as well as agencies managing such clients.
Features
- Daily‑updating Bayesian hierarchical MMM that incorporates halo effects, saturation curves, and adstock for accurate incremental impact estimates
- Automated data integration (Meta, Google, TikTok, Amazon, CTV/OTT, Shopify, etc.) with a 15‑minute connection setup and no data‑warehouse requirement
- Scenario modeling engine that simulates budget shifts across channels or individual campaigns, providing projected revenue and ROAS with confidence intervals
- Validation layer that calibrates model outputs against geo‑lift, holdout, and platform incrementality tests for transparent, trustworthy results
- Campaign‑level granularity and cross‑channel interaction insights, allowing identification of upper‑funnel spend that lifts lower‑funnel performance
- Built‑in optimization recommendations that suggest optimal spend allocations to maximize ROAS while avoiding diminishing‑return zones
- Unlimited users, dedicated customer success, and onboarding included in every subscription