The way we think about content + AI

Don’t accept these results from a testing or conversion optimization campaign

We’ve discussed the strong limitations and flaws of A/B testing, and today, we’ll look at a few results that we usually accept when we should be pushing back and questioning!

Gwendal

What kind of risk-taker are you: Maximax, Minimin, or Minimax? A decision-making framework

Today, in our series on demystifying AI, ML, and applied algorithms, we’re looking at gains, regrets, and risks.

Gwendal

Bias and Sequencing killed A/B testing. Long live intelligent testing!

Chances are: your A/B testing campaign will fail. Fail to drive conversions, fail to drive significant and actionable results. This doesn’t mean experimentation shouldn't happen; quite the contrary, let's double down on testing but let’s do it smartly, with actual goals in mind that are not simple validation of our own assumptions

Gwendal

How to detect intent of your visitors?

Advanced detection mechanisms have been used for decades in medicine and psychophysics; with the first assessment of human signals dating back to the 1950’s. Data sets grew bigger and naturally called for more intelligent processing, which Machine Learning (and to some extent AI) can fulfill.

Gwendal

Why content optimization for your audiences matters. In 7 figures

Effectiveness in content management is a factor of matching 2 key elements: 1) Your content (copy/creative/CTA/…): what message are you conveying and how) 2) Your audience: who are you showing this message to and what is their intent

Gwendal

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