Insurance
What is Electric Twin
Electric Twin builds a synthetic version of your policyholders from your customer data.
You can ask them questions in plain English, and get answers the way your customers would give them, in seconds.
No panels, no fieldwork, no six-week wait.
Accurate, independently validated, with a 96% match against real-world surveys.
Electric Twin platform
This is what it looks like. Ask a question in plain English, get research-grade answers in about a minute.
Understand the why behind every number. We give you evidence that stands up when the room asks how you know.
merlin.electrictwin.com
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Merlin
Tested with @Motor_Policyholders, 2,400 synthetic respondents built from your renewal book. At a 6% increase:
Would shop around at renewal
18%
Stay if offered a loyalty reward
35%
Stay after a clear claims promise
47%
The claims promise beats the discount with your longest-tenured segment. Ask why, and every answer shows its reasoning.
Ask your policyholders anything…
How the audience is built
A synthetic audience is not a persona. It's a live audience of your customers that you can ask anything, then ask again.
We validate against a holdout of real respondents, so it holds up when you take it to the board.
Your data: surveys and focus group data
Validated against a holdout of real respondents before go-live
Onboarding takes days, not months. Your data stays yours.
@Motor_Policyholders
Synthetic audience
Respondents
2,400 synthetic policyholders
Built from
Renewal book, claims history, UK consumer dataset
Validation
up to 96% match against a real-respondent holdout
Ready to ask
Ask this audience
What insurers test
Built for the teams the business turns to before it commits - Insight, Product, and Marketing
Model churn at +4%, +6% and +8% renewal uplift
Pricing and renewals
See the churn cliff before the letters go out. Model price sensitivity by segment, tenure and claims history.
Test an embedded travel cover bundle with frequent flyers
New products and bundles
Validate demand for embedded, usage-based or bundled cover before actuarial and build costs are committed. Test T&C and fee-model changes before they reach policyholders.
Which claims update message reduces inbound calls?
Claims and communications
Find the message that keeps policyholders informed and out of the call queue. Test tone, timing and channel - and evidence fair treatment for Consumer Duty, including vulnerable-customer impact.
60s
to responses, instead of 6 weeks
Unlimited
questions and iterations, at no extra cost
50k evals
across 155 countries, continuously benchmarked
96%
match rate against real-world data
Why not the usual routes
A panel survey
Accurate, but slow
Six to eight weeks of fieldwork per question set, and a budget to match. Electric Twin matches panel accuracy and answers in about a minute. Keep the panel for the studies that truly need real respondents.
6-8 weeks, or 60 seconds
A generic LLM
Fast, but it has never met your customers
An LLM alone answers from the internet, not from your data - useful for drafting, blind on your policyholders. Modelled from your own data, Electric Twin reaches 96% against real-world answers.
Gut feel
Free, until it isn’t
Experience is a fine compass and a poor pricing model. The renewal letters go out either way. The difference is whether you tested them on your policyholders first.
£0 today. Expensive at renewal
Our accuracy
Proof from the platform
research volume
accuracy vs a real panel, in The Times validation
How it works
Step 1
Build your audience
Synthetic policyholders built from your customer and renewal data. No panels, no recruitment.
Step 2
Ask the questions
Type them like you would to a colleague. No survey scripting, no fieldwork window.
Step 3
Get your answers
Research-grade results in seconds, benchmarked against real-world data.
Step 4
Dig deeper
Follow up on any answer and drill into segments until you have the why.
