Prescient AI (@PrescientAI) header
Prescient AI (@PrescientAI) profile picture

The world’s smartest marketing decision engine, powered by the most dynamic MMM. Forecast, test, optimize, and scale top-of-funnel spend with confidence.

Miami, FL
Joined September 2021
Connect a second Google Ads or Meta account and give it a label. When a connection breaks, the badge says whose move it is: Reconnect if it's yours, Needs attention if it's ours.
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DECKED's dashboards ranked their awareness work last. Prescient's model ranked it first, over 2024 to 2026.
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Budget arrived a few days into the month? Media Forecaster now starts plans up to 14 days back. Past days use what you actually spent, and results report through yesterday.
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Traditional marketing mix models still treat revenue like a pie chart. A base revenue slice, then one slice per channel, all adding up to the total. These models assume each channel’s slice can be measured independently of the others.
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Onboarding to a measurement tool shouldn't take weeks of spreadsheets. Every source on one screen, a clear count of what's left, and an assistant for when a connector gets stuck.
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Your question is saved before Prescient AI answers it, so it's never lost. Plans built in chat now follow the New Plan order and warn you about big budget swings.
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The slides show where the revenue landed, how halo effects moved, and how Modeled ROAS changed week over week. (Measured across the brands that had modeled revenue from TikTok Web Ads in both weeks, with larger accounts counting more toward the average.)
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Modeling the Market, issue eight: TikTok Web Ads. In the week of October 12 to 18, 2026, spend on TikTok Web Ads rose 10.2% versus the week before. Modeled ROAS fell from 3.72x to 3.15x.
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Saturation curves you can trust at a glance. Confidence now reflects the spend history behind each curve, and Attribution shows the 90% range for ROAS or CAC in numbers.
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A test result can be statistically significant and still not be worth acting on. Say a landing page test shows the new page converting better, with a green “significant” label.
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When a number in your measurement looks wrong, the data usually broke before the tool reading it did. A data connection stops sending data and nothing flags it. A store feed drops to zero. A channel that normally reports revenue keeps posting spend with none beside it.
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