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From Electric Twin · Show all companies
Company perspectiveUsing media examples, Electric Twin describes how simulated subscribers and prospective readers can react to content ideas. The focus is on differences between audiences, rather than one average response.
Company perspectiveElectric Twin compares synthetic studies with conventional fieldwork and explains where each enters a project. Its guide also looks at the data needed to distinguish one customer segment from another.
Company perspectiveElectric Twin explains the different products sold under the synthetic-research label. It highlights why a buyer needs to understand the audience data and checks behind a tool, not just its interface.
Company perspectiveA general chatbot can help organize a study without being a model of its participants. Electric Twin examines that distinction and the additional audience context its own approach uses.
Company perspectiveThe company walks through the move from customer research to an audience model. It describes how source data guides the simulation and how modeled answers are checked against reference responses.
Company perspectiveElectric Twin describes comparing messages across modeled customer groups and following up on their reactions. The article covers study setup, interpreting differences and deciding what needs further testing.
ResearchElectric Twin describes a preregistered comparison involving seven survey panels and an AI audience, with academic collaborators. Its account explains the study design and the results it uses to assess its model.
Company perspectiveElectric Twin argues that a fluent average answer can hide meaningful audience differences. The article explains its case for grounding models in customer data rather than relying on a persona prompt alone.
Company perspectiveAlex Cooper discusses why customers may stop responding to surveys and what that means for research teams. He connects the problem to the company's case for using existing customer evidence in simulations.
Company perspectiveThis introduction explains what a modeled audience is and how teams can question it. Electric Twin uses product and communication decisions to illustrate the workflow.