Retail
What Electric Twin does
Electric Twin turns your customer data into a model of your shoppers.
Ask them anything and get honest answers in about a minute, just like your real customers would give.
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. 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 you ‘how you know’.
merlin.electrictwin.com
M
Merlin
Tested with @Loyalty_Members, 3,100 synthetic respondents built from your loyalty and transaction data. At the 30p increase:
Absorb the rise, stay own-label
62%
Trade down within store
27%
Price-check a rival for the basket
11%
Watch the 11% - they don’t trade down, they take the whole basket to a rival. Ask why, and every answer shows its reasoning.
Ask your shoppers 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: loyalty, transaction and basket data
Validated against a holdout of real respondents before go-live
Onboarding takes days, not months. Your data stays yours.
@Loyalty_Members
Synthetic audience
Respondents
3,100 synthetic shoppers
Built from
Loyalty and transaction data, UK retail dataset
Validation
up to 96% match against a real-respondent holdout
Ready to ask
Ask this audience
What retailers test
Built for the teams the business turns to before it commits - insight, trading and brand.
Ask @Loyalty_Members how a 30p own-label price rise lands
Pricing and creative testing
Test price moves and the creative that carries them before they hit the shelf. See who absorbs, who trades down, and why - evidence that stands up when the room asks how you know.
Ask @Weekly_Shoppers what they’d buy if we cut the range by a third
Range and assortment
Test delists, swaps and new lines against the shoppers who actually buy the category, before the reset - not after the sales dip.
Ask @Weekly_Shoppers which of these two propositions they’d believe from us
Proposition and message testing
Validate a new proposition and the positioning behind it with your own shoppers - which claims land, which read as spin, and what they’d need to see to believe it.
60s
to responses, instead of 8 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 shelves - useful for drafting, blind on your shoppers. 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 price change hits the shelf either way. The difference is whether you tested it on your shoppers first.
£0 today. Expensive after the reset
Proof from the platform
research volume
accuracy vs a real panel, in The Times validation
How it works
Step 1
Build your audience
Synthetic shoppers built from your loyalty and transaction 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.
