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Recent thoughts.

Why open-source models fall short for next-generation MMM
In 2019, we thoroughly evaluated available open-source MMM solutions, and determined they wouldn’t suffice for what we intended to deliver for marketers.
Implementing truly data-driven attribution
Truly data-driven attribution requires unbiased analysis, comprehensive data coverage, and actionable insights that reflect real world marketing dynamics.
Understanding the critical limitations of iROAS
The difference between traditional ROAS and iROAS isn’t just methodological—it can lead to dramatically different strategic decisions.
Understanding marketing halo effects and halo impact
At Prescient AI, we’ve built our marketing mix modeling platform to capture these hidden impacts, helping brands understand the true value of their marketing efforts across channels. Here’s what you need to know.
A comprehensive guide to tracking pixels
Tracking pixels have been workhorses of digital marketing measurement for decades, but their golden age is ending. Here’s what you need to know about them.
How to market your business in light of iOS privacy
In the world of digital marketing, privacy changes are like sudden weather shifts during a mountain climb. The path you’ve been following suddenly becomes obscured, familiar landmarks disappear in the … Continued
YouTube MMM benchmarks
There is also evidence that top-quartile brands have been figuring out YouTube channel while driving greater efficiency and incremental growth.
AppLovin MMM benchmarks – part II
Since the release of AppLovin MMM benchmarks – part I, interest in the new channel has only intensified. Which is why I’m excited to release the second installment from Prescient’s … Continued
Navigate Meta’s health & wellness tracking changes with MMM
With Meta’s upcoming changes to data and conversion event tracking for health and wellness brands, it’s more crucial than ever to leverage non pixel-based solutions for measurement and optimization; namely … Continued

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