
AI Audience Research
Mines reviews, forums and surveys to understand what your audience wants.
Buyer personas built from your own customer data, with the evidence behind every trait attached.
Most buyer personas are written in a workshop and never checked against real customers. This build creates personas from your own data, such as CRM records, survey answers and support tickets, and shows the evidence behind every trait. Your approver reviews each one before use, and the finished personas drop straight into briefs, campaign plans and sales conversations.

AI Persona Engine builds buyer personas from the customer data you provide, such as CRM records, survey responses or support tickets, and generates persona documents with the evidence behind each trait attached, ready for your review. Personas are formatted to drop straight into briefs and campaign plans.
A persona nobody can back up quietly shapes the wrong campaigns. Teams target the buyer they imagine rather than the one who actually pays, and messaging drifts with every new hire. Personas built from your own CRM, survey and support data give everyone the same, evidence-backed picture of who buys and why. The scope sets out the data sources, the number of personas and the review step before you order, so the decision is easy to make and easy to explain.
Personas are built from the customer data you provide, such as CRM records, survey responses or support tickets. Each trait comes with the evidence behind it attached.
The engine reads the records you supply from your CRM, surveys and tickets together. It turns them into persona documents your team reviews before they are used.
Personas are formatted to drop straight into briefs and campaign plans, in up to three output formats. Your team can lift a persona into the next brief without rewriting it first.
Your portal lists these the moment you order. Delivery starts the working day after everything is in and your access is checked.
| Option | Delivery time | Price |
|---|---|---|
| Standard | 20–30 working days | $1,900 |
| Express | 15–25 working days | $2,300 |
| Rush | 10–20 working days | $2,650 |
Before you start: Collect your current personas, note when they were last updated and what data they were based on.
These are things to track, not promised results. Outcomes depend on your data, your team and your market.
The build price is one-time. Running the engine costs roughly $20 to $150 a month in AI model usage, billed directly in your own accounts, and the figure tracks how often you regenerate personas as new customer data comes in. A team refreshing personas quarterly sits at the low end; a team updating them monthly sits higher.
AI usage during the build and testing is also billed to your accounts, so every provider relationship stays yours. Nothing runs through us.
Ask about running costsAdd a note at checkout if you need something specific. If it fits within the Scope Card it is simply included. If it goes beyond it, you get a written Change Quote within two working days, and that work starts only once you accept it, with its time added to your delivery date.
Request a custom versionAfter launch, monthly maintenance keeps the build current as your business changes. It covers monitoring, fixes, model and platform updates, a monthly health report and a monthly allowance of change hours for changes such as a refreshed segment, an added data source or updated evidence. It starts after the post-launch support period, bills monthly and can be cancelled any month.
$249/mo (the minimum fee, includes 2 change hours)
Optional. Starts after the post-launch support period. Cancel any month.
How maintenance works| Do it yourself with a SaaS tool | Hire a custom agency | Upmark Labs | |
|---|---|---|---|
| Price | A SaaS persona-builder tool charges a monthly seat fee regardless of use | A research agency quotes a persona workshop after scoping | Ours is one fixed price, shown on this page before you buy |
| Evidence | A SaaS tool often generates plausible-sounding personas with no data behind them | An agency's personas come from workshop notes, not always hard data | Ours attaches the evidence behind every trait to your own data |
| Reuse | A SaaS tool's persona lives inside its own platform, hard to export | An agency delivers a slide deck that ages once the project ends | Ours delivers documents you own, formatted to drop into any brief |
| Review control | A SaaS tool has no built-in approval step before you use the output | An agency circulates drafts by email for sign-off | Ours queues every persona for your named approver before delivery |
| Delivery | A SaaS tool is available immediately but needs data import and setup | An agency typically takes several weeks, set per project | Ours has a fixed delivery time shown before you buy, with faster options |
Customer data such as CRM exports, survey responses or support tickets, plus your brand profile and up to 20 reference examples. The richer the source data, the more specific and evidence-backed the resulting persona documents will actually be for your team.
Roughly $20 to $150 in AI model usage, paid directly in your own account rather than billed through us. The figure depends on how often you regenerate personas as new customer data comes in; quarterly refreshes sit near the bottom.
Yes. Each goal, objection or channel preference is written with the data point or quote behind it, rather than presented as an assumption. That is what separates this build from a persona guessed in a workshop with no evidence attached.
The generation pipeline covers up to three output formats per run; you can map that to two or three core segments found in your data. Additional segments beyond that are available as a Change Quote, priced before the extra work starts.
Delivery follows the fixed timeline shown in the delivery panel, counted from a verified intake. Express and rush options are available for a fee if you need personas sooner. Exporting your CRM records, surveys or support tickets early in intake is what keeps the build on schedule.
Yes, through monthly maintenance. Regenerating a segment, adding a new data source, or updating the evidence behind a trait all fit comfortably inside the monthly change hours, without needing a completely fresh build each time. Maintenance also covers monitoring, fixes and a monthly health report. It starts after post-launch support and can be cancelled any month.
You need existing customer data such as CRM records or surveys; you do not need it already analyzed. If you have no raw material yet, start with AI Audience Research, which mines reviews and forums to create it first, then feed its findings into this build.
The person you name at intake as your approver. Every generated persona sits in a review queue until that named person marks it approved, rejected or needing changes, so nothing ships to your team without a human check happening first.
Order the AI Persona Engine and give your team personas built on evidence, not opinion. The data sources and review step are agreed in writing before you pay.

Mines reviews, forums and surveys to understand what your audience wants.

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