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Case Studies.

Saatva gains a 22% increase in revenue from TV ads with network-level forecasting
Learn how Prescient’s MMM revealed which linear and CTV investments would drive maximum growth.
Coterie makes data-driven decision changes to TV spend for instant improvement in CAC and ROAS
How Prescient AI enabled Coterie to fuel Q4 acquisition by reallocating network-level spend on Linear TV and across the marketing mix.
Beekman 1802 drives 11% ROAS boost, 2x impressions with Prescient AI in less than four months
Learn how Prescient’s unbiased cross-channel measurement and halo effects helped Beekman 1802’s David Baker scale key channels with confidence. Since joining Prescient (Prescient platform data): Prescient allows us to track … Continued
How Jones Road Beauty scaled Linear TV by nearly 2x without losing ROAS using Prescient AI
Learn how Prescient’s ability to measure the full value of Linear TV helped Cody Plofker, Chief Marketing and Revenue Officer of Jones Road Beauty, invest more in a key growth … Continued
How Quiet Owl Agency improved a client’s YoY growth by over 22% with Prescient
Learn how Prescient helped Quiet Owl Agency improve its clients’ performance through new top-of-funnel channels and granular, real-time insights.
Good American uses Prescient’s MMM to grow paid media revenue 24% faster
Learn how Prescient’s ad spend tracking and ROAS predictions improved Good American’s entire marketing stack.
How HexClad boosted ROAS by 20% with Prescient’s cost-efficient MMM
Learn how HexClad leveraged Prescient’s MMM to optimize ad spend across media channels and gain real-time, actionable insights into Amazon spillover metrics.
How Eko Health doubled ROAS with Prescient’s MMM
Learn how Prescient’s marketing campaign optimizations, data forecasting, and Halo-Effects supercharged Eko Health’s paid spend across channels.
How Catalina Crunch decreased CAC by 24% in 30 days with Prescient
Learn how Catalina Crunch leveraged Prescient to improve operating income and decrease CAC by optimizing ad spend across TikTok, Meta, Google, and Amazon.

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