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How we compare

Why choose Electric Twin over Claude or other LLMs?

We build a synthetic audience from your own customer data, one that answers the way your real customers would

By submitting, you agree to our terms

How we compare

Why choose Electric Twin over Claude or other LLMs?

We build a synthetic audience from your own customer data, one that answers the way your real customers would

By submitting, you agree to our terms

How we compare

Why choose Electric Twin over Claude or other LLMs?

We build a synthetic audience from your own customer data, one that answers the way your real customers would

By submitting, you agree to our terms

At a glance

Compare an LLM vs your own audience

Compare an LLM vs your own audience

Compare an LLM vs your own audience

Compare results between Electric Twin and results from any LLM

ChatGPT · Claude

Electric Twin

THE ANSWER

One blended answer over your data

• How your real customers actually vary

• How your real customers actually vary

WHERE THEY DIFFER

Can’t show you who disagrees, or why

• See the splits, segments and outliers

• See the splits, segments and outliers

ACCURACY

Around ~0.64 median accuracy NDAM score

• Around ~0.96 median accuracy, tested against real responses we hold back

• Around ~0.96 median accuracy, tested against real responses we hold back

ASK WHY

A confident guess

• Digs into the why, backed by evidence

• Digs into the why, backed by evidence

NICHE AUDIENCES

Unable to reach

• Modelled from real customers

• Modelled from real customers

• Modelled from real customers

OUTPUT

A paragraph that sounds right

• Charts, findings and shareable insights

• Charts, findings and shareable insights

• Charts, findings and shareable insights

Our difference

LLMs respond with the internet’s average, not as your customer

LLMs respond with the internet’s average, not as your customer

LLMs respond with the internet’s average, not as your customer

A general-purpose LLM gives you the average answer from the internet. You can’t see where customers disagree, and you miss the outliers who move the market

Example chat showing a general-purpose LLM giving average answers about cancelling streaming subscriptions
Example chat showing a general-purpose LLM giving average answers about cancelling streaming subscriptions
Example chat showing a general-purpose LLM giving average answers about cancelling streaming subscriptions

How it works

Ask your audience, not the average

Without Electric Twin

You get a single average answer

With Electric Twin

You get a distribution of all responses

How it works

Ask your audience, not the average

Without Electric Twin

You get a single average answer

With Electric Twin

You get a distribution of all responses

How it works

Ask your audience, not the average

Without Electric Twin

You get a single average answer

With Electric Twin

You get a distribution of all responses

What we deliver

A validated model of your audience

A validated model of your audience

A validated model of your audience

Electric Twin builds a living model of your customers and proves its accuracy against responses you hold back

The result is an always-on audience you can query on demand: grounded, validated, and specific to your customers

Your customers aren’t average. Their answers shouldn’t be either

Follow up on any answer, with any segment,

without re-recruiting anyone

Stop digging through data to find the point

No study to commission. No six-week wait.

You can just ask

The verdict from the room

What some of our customers said after using Electric Twin

"Survey results delivered a minute too late are worthless. We need answers at decision-making speed"

Business Insights Lead

Global telecoms brand

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Synthetic audiences.

Want to see how it works?

Synthetic audiences.

Want to see how it works?

Synthetic audiences.

Want to see how it works?