For example, you might input:
Tactic 1
“Customers who bought product X tend to do A, B, C… while
AI-Generated Customer Personas and Segmentation
customers who prefer product Y do D, E, and F.”
Y ou can also describe your audience broadly , then prompt the
AI to cluster or describe personas :
“Based on this data, generate 3-4 distinct customer personas,
including their goals, pain points, and what messaging would
What it is:
resonate with each.”
Use GenAI to define and understand your
customer segments or personas more deeply.
The AI may output something like:
Instead of manually sifting through data to create
“The Eco-Conscious Explorer – a mid-30s traveler who values
static personas, you can prompt AI to analyze
sustainability and authentic experiences…”
behavioral or demographic insights and narrate
– complete with details that humanize the segment.
distinct customer archetypes. This provides a rich,
empathetic view of your users that guides
If you have q uantitative segment data (like output from a
personalized marketing and product decisions.
clustering algorithm) , you can also use AI to translate that into
plain E nglish. F or e x ample :
How to use it:
“We have a segment characterized by age 18-24, mobile-first,
visits late at night, mostly browses gaming content. Please
Supply the AI with any customer data or research
describe this segment’s persona and needs.”
you have (at an aggregate level to protect
privacy – always comply with your organization's
The AI might infer:
responsible use policies; more on that later) and
“Nighttime Gamer Enthusiasts – seeking entertainment after
ask it to identify patterns or groups.
work or school...”
– which you can then refine.
GenAI Quick-Win Playbook for Personalization
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