Persona · cohort 03 · built from 1,842 bookings
Elin, 38 · Stockholm
“I don’t want a discount. I want to know if the pool is open in October.”
Customer simulation · from your own data
Meet your customers.All of them.
Your data, turned into a living population of customers you can ask before you spend.
How it works
Data in. People out.
Connect commerce, CRM, reviews, surveys and support. We add outside context, then keep the population current as the evidence changes.
Example input
Transactions & ordersCRM & loyaltyReviews & ratingsSupport ticketsSurveys & NPSSite & app behaviourOutside signalsLiquid Personas
Example output
Personas who answer backObjections before launch1,000 answers · one distributionChanges ranked by impactA line back to the sourceThe idea
You already have the answers.
Every order, review and ticket is a customer telling you something. Liquid Personas turns those records into people who answer back—not archetypes frozen on a slide.
Example customer records: booking #A1189 · 2 adults · 2 kids, ★★★★☆ “perfect, but runs small”, support: “can I change the date?”, NPS 42 → 51, cart abandoned at shipping, browsed 14 min · saved 3 items, review: “the pool photos are old”, loyalty tier 2 · 3 years.
In practice
Rehearse the expensive decisions.
Ask about a campaign, launch or new price while the objections are still cheap to fix.
We’re moving the spring campaign to January. Honest take?
January me is dreaming, not booking. Show me the itinerary—not the countdown timer. I book when the school calendar lands.
What if we add a 48-hour flash sale?
I’ll wait for the next one. You’ve trained me well.
Elin · session 02 · every answer traced to source dataAt scale, quietly
A population, not a dashboard.
Ask one persona and you get an answer. Ask a thousand and you get a distribution—with every reason still attached.
1,000 answers,
in seconds
would book · 61% depends · 27% not for me · 12%
Who it’s for
Companies that put the customer first.
Product teamsCommercial teamsCustomer experienceStrategy & insight
Stockholm · worldwide