Train AI testers to behave like real customers with Digital Twins
Digital Twins are AI testers trained on your real customer data so you can run research, test ideas, and pressure-test decisions in hours, not weeks.
What you can feed it
The more data you give, the sharper your audience becomes
Every data type you connect adds a new layer of customer understanding. The more you add, the more accurately your Digital Twins thinks and responds.
Customer profile data
Who your customer is, their role, company, budget, and how technically
sophisticated they are.
Job title
Industry
Seniority
Company size
Budget
Tech
Jobs-to-be-done data
What your customers are hired to do, the workarounds they use, and what success looks like to them.
Goals
Responsibilities
Desired outcomes
Urgency
Workarounds
Product usage data
How customers actually interact with your product, what they use, what they skip,
and where they drop off.
Feature usage
Clickstream drop-off points
Abandoned workflows
Exports
Voice of customer data
What your customers actually say in sales calls, interviews, support tickets, and QBRs. Their words, not your interpretation.
Sales calls
Demo calls
Support tickets
QBRs
Chat transcripts
Buying process data
How deals actually happen, the stages, the stakeholders, the objections, and the real reasons you win or lose.
CRM stages
Lost reasons
Decision criteria
Procurement stakeholders
Customer lifecycle data
Where a customer sits in their journey with you shapes how they think and respond. Prospect, power user, and at-risk each behaves differently.
Trial users
Power users
At-risk
Churned activated
Domain knowledge data
Your internal intelligence positioning, roadmap, best-performing campaigns, churn risk signals. Context is only what you have.
Positioning
Roadmap
Health scores
Churn signals
Campaigns
How it works
Three steps to your Digital Twins
No recruiting. No scheduling. No waiting.
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Connect your customer data
Upload your data sources, CRM records, call transcripts, usage logs, and survey responses. The more you connect, the more accurate your audience becomes.
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Train your digital twins
TheySaid's AI builds a behavioral model from your data, learning how your customers think, what language they use, and how they make decisions.
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Run research instantly
Test product ideas, validate messaging, and simulate objections. Your Digital Twins is ready whenever you are, with no scheduling required.
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Use cases
Six ways your whole team gets closer to the customers
Product, marketing, sales, and everyone gets direct access to customer insights. No specialist required.
Test product ideas before building
Run your concept past AI testers who respond like your ICP before a single line of code is written. Know what resonates before you commit to the sprint.
Run user tests without recruiting
Your Digital Twins is available 24/7. No panels, no scheduling, no incentives. Get usability feedback in minutes instead of weeks.
Pressure-test messaging and positioning
Test your homepage copy, value prop, or ad creative against your Digital Twins before it goes live. Stop guessing what lands.
Simulate buyer objections
Train your sales team on the exact objections your buyers raise, sourced from your CRM and call recordings, not generic scripts.
Improve pricing and packaging
Test pricing tiers before you change your pricing page. Understand willingness to pay and tier sensitivity across your real customer segments.
Make customer research available to everyone
Stop gatekeeping insight behind the research team. Any PM, marketer, or founder can run their own customer check without a specialist, without a waiting list.
Not a fake persona. An audience trained on your data.
Generic AI gives you the average of the internet. Digital Twins give you the reality of your customers.
Generic AI / ChatGPT
personas
TheySaid
Digital Twins
Digital Twins
Dimension
Follows instructions
Unable to follow specific tasks, in the order provided
Completes your exact task flow, step by step
Screen behavior
No screen interaction, text output only
Actually navigates your product and shares their screen
Thinks out loud
Tells you what it thinks users would do
Speaks real reactions aloud while completing each task
Data source
Trained on the internet, the average of everyone
Trained exclusively on your customer data
Segment accuracy
No way to reflect your specific buyer segment
Simulates distinct segments, lifecycle stages, and personas
Objections & friction
Rarely surfaces real customer objections
Raises actual objections from your CRM and call recordings
Trust
Hard to defend in a team review
Grounded in evidence, your team already recognises
Business impact
Research that moves at the speed of your decisions
When research is instant, every decision gets smarter, from roadmap calls to pricing to messaging to retention.
Research turnaround
What used to take weeks of recruiting now takes minutes
Panels or incentives required
No recruiting fees, no agency costs, no scheduling
Research capacity per team
Every team can run their own customer checks, any time
Faster iteration
Ship ideas validated against real customer behavior, not internal hunches or generic AI guesses.
Stronger positioning
Write copy that converts because it's been tested against your actual buyers before launch.
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Organization-wide customer intelligence
Every team, product, marketing, and sales works from the same source of customer truth.
See what our customers had to say
"Implementing TheySaid has led to a 5-10% increase in qualified leads from our existing customers in just a few months while reducing churn. The results speak for themselves."
Alex Farmer
Chief Revenue Officer @ Nezasa
"TheySaid's AI Surveys helped us step up our insight gathering game. It's smarter and more engaging for customers."
Maggie C.
VP, Product Design @ ClickUp
"How did TheySaid AI come up with such great question recommendations? These are questions that our teams really want to know and discussed internally a lot. I am impressed!"
Brook P.
VP, Marketing @ DX
"Integrating TheySaid has been a game-changer. We've seen a 5-10% decrease in customer churn with an increase in upsell opportunities since its implementation."
Srikrishnan Ganesan
Co-Founder & CEO @ Rocketlane
"Really easy to use and I think this might be one of the best ways to engage with your customers! Platform will really boost your customer engagement."
Danny L.
Co-Founder
FAQ's
Common questions about Digital Twins
What's the difference between Digital Twins and generic AI
chatbots?
chatbots?
Generic AI models like ChatGPT are trained on broad internet data; their responses reflect an average of everyone, not your customers. Digital Twins are trained on your data: call recordings, CRM notes, usage behavior, and more. The result is an AI that responds the way your actual buyers do.
What customer data do I need to get started?
You can start with basic customer profile data titles, industries, and company sizes and layer in richer data over time. Every data type you connect improves accuracy, but your audience is useful from day one.
Is my customer data kept private and secure?
Yes. Your data is used exclusively to train your Digital Twins and is never shared with other customers or used to train shared models. TheySaid is SOC 2 Type 2, ISO 27001, GDPR, and HIPAA compliant.
How does this relate to TheySaid's AI testers feature?
AI Testers are TheySaid's simulated participants who complete surveys, interviews, and user tests before you recruit real people. Digital Twins are the intelligence layer that makes those AI Testers respond like your customers, specifically, not generic profiles.
Can i create multiple Digital Twins for different segments?
Yes. Build distinct audiences for enterprise vs. SMB, power users vs. at-risk accounts, prospects vs. churned customers, each trained on the relevant data for that segment.
Turn your customer data into an always-on research team
Stop waiting for recruits. Stop paying for panels. Build an Digital Twins trained on your real customers and run research at the speed of your decisions.
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TheySaid User testing recommends questions, delivers via your existing channels, engages your audience,and summarizes results through AI user testing, surveys, and interviews.
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