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AUDIENCE SIMULATION

Electric Twin

Synthetic audiences: An audience workspace for asking new questions of models built around customer research.

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Electric TwinSynthetic audiences

PRODUCT PROFILE

About this product

Electric Twin documents a synthetic-audience platform built from customer or other high-quality data. Users can ask questions of that modeled audience and use the responses for concept, messaging, pricing and audience exploration.

Product details

Information from the company's product materials.

Primary category
Audience simulation

Electric Twin describes large-scale simulations of real people that can be queried directly through its platform.

Electric Twin: Synthetic Audiences for Enterprise Research

Offering
Synthetic audience platform

The documented workflow builds an audience, accepts plain-language questions and supports follow-up questions on the resulting responses.

Electric Twin: Synthetic Audiences for Enterprise Research

Research posture
Audience-specific modeling

The supplier says its models use client survey, focus-group and interview data. It says it shares a benchmark for each audience before launch.

Electric Twin: Synthetic Audiences for Enterprise Research · Electric Twin: Synthetic Audience FAQs

Access
Licensed engagement

Electric Twin says pricing depends on the audiences built and the number of seats, with unlimited queries once an audience is available.

Electric Twin: Synthetic Audience FAQs

Research methods and outputs

Methods described by the company.

Data and study setup

Data and settings the company says teams can choose.

Reported results

Results reported by the company, with details about how they were tested.

Reported hold-out performance

Electric Twin reports 95.5% on 1-MAE and 92% on its NDAM measure in its published methodology. Its site attributes independent validation to Professor Michael Muthukrishna at LSE and describes more than 50,000 evaluations.

These figures and the claimed external validation are reported by the supplier. The described evaluation compares response distributions in a held-out test; it is not, on its own, evidence for every target audience or decision context.

Electric Twin: How Accurate Are Synthetic Audiences? · Electric Twin: Synthetic Audiences for Enterprise Research

Study limits

  • Metric choice affects the reading

    Electric Twin notes that 1-MAE can become more forgiving as answer options increase, which is why it also reports a normalized distribution measure. The two metrics should not be treated as interchangeable.

    Electric Twin: How Accurate Are Synthetic Audiences?

  • Reliability depends on the audience and data

    The supplier says the first step is assessing the data available for a particular audience and communicating where that resulting model is reliable and where its limits are.

    Electric Twin: Synthetic Audiences for Enterprise Research

Sources

  1. Electric Twin: Synthetic Audiences for Enterprise Research · Provider product and methodology overview
  2. Electric Twin: How Accurate Are Synthetic Audiences? · Provider-reported validation · 11 February 2026
  3. Electric Twin: Synthetic Audience FAQs · Provider FAQ

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