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Recent Thoughts.

Data-driven marketing approach: What marketing leaders need to know
January 15, 2026

Data-driven marketing approach: What marketing leaders need to know

Fifty years ago, weather forecasters looked at the sky, checked the barometer, and made educated guesses. Farmers relied on folklore like “red sky at night, sailor’s delight.” Today, meteorologists use … Continued

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What causality is in marketing and why it matters
January 14, 2026

What causality is in marketing and why it matters

Your latest digital campaign just wrapped up, and results look impressive: sales increased 22% during the campaign period. Your team is celebrating, your boss is thrilled, and you’re ready to … Continued

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Why validation is critical for brands using an MMM
January 13, 2026

Why validation is critical for brands using an MMM

Marketing mix modeling (MMM) has become a lighthouse for brands navigating the increasingly complex waters of marketing measurement. As privacy changes continue to limit user-level tracking and cookies face deprecation, … Continued

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Probabilistic versus deterministic attribution: what marketing leaders need to know
January 13, 2026

Probabilistic versus deterministic attribution: what marketing leaders need to know

Think about checking your weather app tomorrow morning. It says the temperature at 2pm will be 72°F. That’s a deterministic prediction. The app is giving you an exact value based … Continued

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Model validation in marketing mix modeling: What marketing leaders need to know
January 12, 2026

Model validation in marketing mix modeling: What marketing leaders need to know

You’re driving to an important meeting and your GPS confidently tells you to turn left. Into a lake. You’d question those directions before following them, right? You’d check the map, … Continued

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Using incrementality data with Prescient’s MMM
January 12, 2026

Using incrementality data with Prescient’s MMM

Marketing measurement sits at a critical crossroads. As brands navigate an increasingly complex landscape of channels and tactics, the quest for reliable performance insights has never been more important. Many … Continued

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Calibration vs. validation: Understanding the difference
January 7, 2026

Calibration vs. validation: Understanding the difference

When evaluating a marketing mix model (MMM), two terms frequently come up: calibration and validation. While both processes aim to ensure your model delivers accurate insights, they serve fundamentally different … Continued

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Why your MMM needs to reflect how marketing works in the real world
January 7, 2026

Why your MMM needs to reflect how marketing works in the real world

Anyone who’s played a video game knows that sometimes their physics engines don’t quite match reality. Objects float mysteriously, characters clip through walls, and horses climb vertical mountains. The games … Continued

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Model calibration 101: Understanding MMM calibration for marketers
January 1, 2026

Model calibration 101: Understanding MMM calibration for marketers

Model calibration may sound like a technical term reserved for data scientists, but it’s a crucial concept for any marketer relying on marketing mix modeling (MMM) for insights. In simple … Continued

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What TikTok Shop halo effects mean for your content strategy
December 30, 2025

What TikTok Shop halo effects mean for your content strategy

If you’re running TikTok Shop campaigns, you’ve probably noticed something frustrating: the performance data TikTok shows you doesn’t tell the complete story. Your lifestyle content and brand storytelling might look … Continued

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