By Elizabeth G Garcia
As beauty brands embrace artificial intelligence, a new question emerges would consumers
actually trust an AI beauty advisor? This is where the difference between a marketing research
survey and a marketing experiment becomes clear. A survey can capture opinions: people
might say they love the idea of personalized AI skincare recommendations. But an experiment
reveals truth in action would they really buy products based on an algorithm’s suggestion?
If I were running a digital campaign for a brand like Rare Beauty or Glossier, I’d start with a
survey to measure openness toward AI-driven recommendations. From there, I’d design a
marketing experiment that tests two website versions one with a human-led quiz experience and
another powered by an AI advisor to compare engagement, trust, and purchase rates.
This kind of experiment is essential because it bridges perception with performance. In modern
beauty marketing, understanding how people feel about technology is only step one;
discovering how they behave with it unlocks true strategic value. Combining both methods
empowers marketers to blend empathy with innovation exactly what today’s data-driven,
beauty-tech landscape demands.
Last Post: The Difference Between a Good Survey and a Bad One