What should a buyer persona include?

Nine things: who they are in one line, the pressure of their week, jobs to be done, current workaround, pain points, decision criteria, objections, where they spend attention, and the trigger moments that start a purchase. Everything else is decoration.

How many buyer personas should we have?

As many as you have genuinely different buying conversations, which for most companies is 2-4. If two personas would react identically to your pricing page, they're one persona.

Should personas be based on real data or can AI create them?

Both, in sequence. An AI draft gets you a structured, specific starting point in seconds; real interviews and sales data correct it. The failure mode to avoid is the eternal 'we'll build personas after more research' blank page.

What's the difference between a buyer persona and a user persona?

The buyer decides and pays; the user lives with the product. In B2B they're often different people with conflicting criteria (the CFO buys ROI, the analyst uses the UI), which is exactly why both belong in your panel when you test concepts.

The Buyer Persona Template That Actually Gets Used

Most persona templates collect demographic trivia that never changes a decision: favorite brands, a stock photo, a fake quote. This one has nine fields, every one of which answers a question your team actually argues about. Copy it, see a worked example, or let the AI generator draft it from one sentence.

8 min read · Updated June 11, 2026

Why most persona templates fail

A persona earns its keep when someone consults it mid-decision: writing a headline, scoping a feature, handling an objection. Templates fail when they optimize for completeness over consequence, twenty fields of demographics and 'personality' with nothing about why this person buys or balks. The test for every field: name a real decision it would change. If you can't, cut it.

The 9-field template (copy this)

Name, age, role and context. One line that makes them a specific person, not a segment: "Maya, 34, owns a boutique pilates studio with two part-time instructors."
A day in the pressure. What their week feels like and where your category touches it. Pressure, not lifestyle.
Jobs to be done. The 2-3 outcomes they're hiring any solution for, in their words, not your feature names.
Current workaround. What they do today instead of you: a competitor, a spreadsheet, an intern, or nothing. This is your real competition.
Pain points. The 3-4 specific frustrations with the workaround, concrete enough to quote in copy.
Decision criteria and style. How they evaluate: peer recommendations? Free trials? ROI math? Who else weighs in?
Objections and dealbreakers. The reasons they'll say no, including the unspoken ones (career risk, switching pain, 'too good to be true').
Watering holes. Where they actually spend attention: communities, newsletters, podcasts, the colleague they trust.
Trigger moments. The events that turn latent pain into active shopping: a failed audit, a lost client, a new boss, a price increase.

Worked example: a complete persona

Built for a hypothetical scheduling product for fitness studios:

Who: Maya Rodriguez, 34, owner-operator of a boutique pilates studio in suburban Phoenix; two part-time instructors, ~180 active members.
Pressure: she teaches 15 classes a week and runs everything else (billing, marketing, retention) in the gaps; admin happens at 9pm.
Jobs: keep classes full, cut no-shows, make members feel personally cared for without more hours.
Workaround: a legacy booking tool, a Google Sheet for waitlists, and texting regulars by hand.
Pains: double-bookings on holiday schedules, no-shows that cost ~$300/week, software 'for gyms' that assumes a front-desk staff she doesn't have.
Decision style: peer-driven and cautious; trusts other studio owners' recommendations, real screenshots, and a free trial she can run during a slow week.
Objections: 'I can't risk migrating 180 members mid-season,' and any tool priced per-member.
Watering holes: a 4,000-member studio-owners Facebook group, one industry podcast, her equipment supplier's rep.
Triggers: a double-booked Saturday, a competitor studio launching online booking, January membership surge.

How to fill the template (three sources)

Real conversations: 5-8 customer or prospect interviews. Best evidence, slowest path. Ask about the last purchase, not the imagined next one.
Your own data: sales call notes, support tickets, churn reasons, and review-site language are persona fields in the wild.
AI drafting: describe your product and audience in a sentence and generate a structured draft persona in seconds. It arrives with goals, pains, decision style, and objections pre-filled; you then correct it against reality instead of staring at blank fields.

Make the persona do work

Test copy against it: would Maya stop scrolling for this headline? Run the A/B test against a panel built from your personas.
Interview it: modern personas answer questions. Ask the persona why it would churn, and pressure-test the answer with your team.
Recruit panels from it: persona sets become reusable research panels, so every study runs against the same audience definition.
Refresh it quarterly: personas decay as the market and product move. The cheapest refresh is re-running the draft and diffing against what sales is hearing now.