# Prescient AI

> Prescient AI is the #1 rated marketing mix modeling (MMM) platform. It shows growth teams exactly which channels drive revenue — so they can reallocate ad spend and grow faster. For DTC, e-commerce, and omnichannel brands spending $100K+/month on advertising.

- Type: SaaS platform (WebApplication)
- Category: Marketing analytics, marketing mix modeling, media measurement
- Audience: CMOs, growth marketers, finance teams, agencies, e-commerce operators
- Pricing: SMB, Growth, and Enterprise tiers — by business size and sales channels
- Language: English

Prescient AI replaces guesswork with clarity. The marketing mix model measures how much revenue each channel drives — from Meta, Google, and TikTok to email and direct mail — without relying on last-click attribution. Teams get scenario-modeled budget recommendations, predictive forecasting, saturation curves, and halo effect measurement. Brands see +20% average ROAS improvement in the first 90 days.

- Models retrain daily with the latest spend and revenue data
- 93% model accuracy across channel attribution
- 48 hours from data connection to first actionable insights
- Measures both direct conversions and halo effects across channels
- Integrates with Meta, Google, TikTok, Amazon, Shopify, and 112 platforms

## Core Pages

- [Homepage](https://prescientai.com/): Product overview, value propositions, social proof, and how it works
- [About](https://prescientai.com/about): Company mission, leadership team, and capabilities
- [Pricing](https://prescientai.com/pricing): SMB, Growth, and Enterprise tiers — for brands spending $100K+/month
- [How We're Different](https://prescientai.com/how-were-different): Competitive differentiation and unique approach
- [FAQ](https://prescientai.com/faq): Common questions about setup, modeling, optimization, halo effects, validation, and pricing
- [Contact](https://prescientai.com/contact): Get in touch with the Prescient AI team
- [Book a Demo](https://prescientai.com/book-a-demo): Schedule a personalized platform demo

## Platform

- [Marketing Mix Model](https://prescientai.com/platform/media-mix-model): Core MMM product — measure true channel impact on revenue
- [Performance](https://prescientai.com/platform/performance): Performance analytics and cross-channel measurement
- [Optimization](https://prescientai.com/platform/optimization): Ad spend optimization with scenario modeling and budget recommendations
- [Halo Effects](https://prescientai.com/platform/halo-effects): Cross-channel spillover measurement and branded search attribution
- [Validation](https://prescientai.com/platform/validation): Model validation framework and accuracy benchmarks
- [Scale with Confidence](https://prescientai.com/platform/scale-with-confidence): Guide to scaling ad spend using MMM insights
- [Retail](https://prescientai.com/platform/retail): Retail and omnichannel-specific measurement solution

## Solutions

- [For Marketing Teams](https://prescientai.com/solutions/marketing): CMOs and growth marketers — optimize budget allocation
- [For Finance Teams](https://prescientai.com/solutions/finance): CFOs — tie marketing spend to business outcomes
- [For Operations](https://prescientai.com/solutions/operations): Operations leaders — streamline reporting and planning
- [Scaling Brands](https://prescientai.com/solutions/scaling-brand): Growing DTC brands — scale ad spend without wasting budget
- [Omnichannel Retailers](https://prescientai.com/solutions/omnichannel): Omnichannel retailers — measure online and offline together
- [Holding Companies](https://prescientai.com/solutions/holding-company): Multi-brand portfolios — centralized measurement across brands
- [Agencies](https://prescientai.com/solutions/agency): Agencies — prove campaign value to clients with independent measurement

## Case Studies

- [HexClad](https://prescientai.com/case-studies/case-study-hexclad): Gained 85% more revenue and increased ROAS 30%
- [Good American](https://prescientai.com/case-studies/case-study-good-american): Exceeded predicted revenue growth targets
- [Catalina Crunch](https://prescientai.com/case-studies/how-catalina-crunch-decreased-cac-by-24-in-30-days-with-prescient): Decreased CAC by 24% in 30 days
- [Eko Health](https://prescientai.com/case-studies/how-eko-health-doubled-roas-with-prescients-mmm): Doubled ROAS with Prescient's MMM
- [Portland Leather](https://prescientai.com/case-studies/portland-leather-tiktok): Scaled TikTok spend with confidence
- [Saatva](https://prescientai.com/case-studies/saatva-revenue-increase-tv-ads): Revenue increase from TV ad optimization
- [BruMate](https://prescientai.com/case-studies/brumate-omnichannel-growth): Omnichannel growth story
- [Beekman 1802](https://prescientai.com/case-studies/beekman-1802-case-study): Brand growth case study
- [Jones Road Beauty](https://prescientai.com/case-studies/jones-road-beauty-case-study): Beauty brand growth with MMM
- [Coterie](https://prescientai.com/case-studies/coterie-instant-improvement-cac-roas): Instant improvement in CAC and ROAS
- [MaryRuth's (AppLovin)](https://prescientai.com/case-studies/maryruths-beats-iroas-target-with-applovin): Beat iROAS target with AppLovin
- [MaryRuth's (Pinterest)](https://prescientai.com/case-studies/maryruths-scales-pinterest-investment): Scaled Pinterest investment
- [TileCloud](https://prescientai.com/case-studies/tilecloud-confidently-keeps-the-pedal-to-the-metal-with-prescient-ai): Scaled ad spend confidently with Prescient AI
- [Quiet Owl Agency](https://prescientai.com/case-studies/case-study-quiet-owl): Agency improved client YoY growth by over 22%

## Blog

- [Blog](https://prescientai.com/blog): 240+ articles on marketing mix modeling, attribution, and budget optimization
- [Insights](https://prescientai.com/blog/category/insights): Data-driven marketing analysis and benchmarks
- [Prescient Perspective](https://prescientai.com/blog/category/prescient-perspective): POV on marketing measurement trends
- [Announcements](https://prescientai.com/blog/category/announcements): Product updates and feature releases
- [Trend Reports](https://prescientai.com/blog/category/trend-report): Industry benchmark reports

## Key Topics Covered

- Marketing mix modeling (MMM) — what it is, how it works, vendor comparison
- Attribution models — MTA, last-click, data-driven, probabilistic vs deterministic
- Budget optimization — ROAS, diminishing returns, saturation curves
- Incrementality testing — holdout tests, randomized controlled trials
- Halo effects — cross-channel spillover, branded search attribution
- Data privacy — iOS changes, cookieless measurement, first-party data
- Channel-specific guides — Meta, Google, TikTok, Amazon, OTT, YouTube, CTV, Pinterest

## Benchmarks

- [Benchmarks](https://prescientai.com/benchmarks): Industry benchmark reports on channel performance and ROAS data
- [TikTok Revenue Benchmark](https://prescientai.com/benchmarks/where-tiktok-revenue-lands): Where TikTok revenue lands across brands
- [CTV Halo Benchmark](https://prescientai.com/benchmarks/where-ctv-halo-lands): Where CTV halo effects land across brands

## Optional

- [Glossary](https://prescientai.com/glossary): 75+ marketing measurement terms defined
- [Integrations](https://prescientai.com/integrations): 112 platform integrations — Meta, Google, TikTok, Amazon, Shopify, and more
- [Events](https://prescientai.com/events): Upcoming and past webinars, conferences, and industry events
- [Partners](https://prescientai.com/partners): Agency and technology partner directory
- [Product Updates](https://prescientai.com/updates): Changelog of platform features and improvements
- [Research](https://prescientai.com/research): White papers and research reports

## Authors

- [Linnea Zielinski](https://prescientai.com/blog/author/linnea-zielinski): Head of Content
- [Cody Greco](https://prescientai.com/blog/author/cody-greco): Marketing
- [Scott Chang](https://prescientai.com/blog/author/scott-chang): Data Science
- [Will Holtz](https://prescientai.com/blog/author/will-holtz): Product

## Legal

- [Terms of Service](https://prescientai.com/legal/terms-of-service)
- [Privacy Policy](https://prescientai.com/legal/privacy-policy)
- [GDPR Commitments](https://prescientai.com/legal/gdpr-commitments-statement)