Markigy: The Science of Marketing Strategy · Leanne Dow-Weimer

Shifting AI perspectives in Marketing

·57 min·3 clips

Vincent says marketing is moving from personalization to “true one on one.”

Leanne introduces Vincent as someone worth paying attention to and sets the tone as a practical marketing conversation. Vincent traces his path from data and software engineering into marketing departments, where he became the analyst or data person inside large teams. He talks through experience across in-house teams, agencies, consulting, creative environments, and large FMCGs. The conversation also touches telcos and airlines, which gives the discussion range beyond a single industry lane. Vincent explains that he has spent the last year or two leaning more into academia. That work has centered on applied artificial intelligence, machine learning, and data science. He describes the goal as bringing lessons from his career into that academic setting and then back into practice. The episode then shifts into how people are actually using AI day to day. There is agreement that adoption is not as explosive as some early hype suggested. The conversation treats the moment as a kind of tourist phase, where curiosity is high but habits are still settling. Even so, the hosts note that some people are already using AI as part of how they search and shop. One example is using AI instead of a search engine more often than before. The discussion keeps coming back to products and services, not as abstract technology, but as the places where behavior changes show up first. The hosts argue that this shift will affect how people behave around buying and discovery. That leads into a broader point about human unpredictability. They talk about weirdness, mistakes, and the fact that people do not always ask questions in clean, normal patterns. The conversation suggests that this is exactly where predictive models can struggle. A model can give a strong answer based on the data it has, but that answer still may not match the actual shape of the problem. They also push on the idea that hallucination is not some accidental flaw so much as part of how these systems work. The result is a discussion that is skeptical without being anti-AI. It keeps returning to the idea that good marketing depends on understanding customers as they are, not as a model would prefer them to be. The episode closes with practical contact details and a familiar invitation to keep the conversation going through LinkedIn or email. The tone stays conversational all the way through, with enough friction and paraphrase to feel lived-in rather than scripted.

As heard by us

A grounded AI-and-marketing conversation that keeps circling back to real customer behavior.

This conversation treats marketing as a working system, not a slogan. It moves from data and software roots into customer behavior and applied AI, then comes back to the practical question of when new tools help and when they just add noise.

Read the full review in PlayNext →

Why you'd press play

Press play for a plainspoken conversation about marketing, customer-centered strategy, and where applied AI fits in.

Read the full recommendation in PlayNext →

Listen to the show on

Apple Podcasts Spotify

Play clips from this episode More from Markigy: The Science of Marketing Strategy