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AUDIENCE SIMULATION

Yabble

Virtual Audiences: AI-generated audiences for exploratory research and concept feedback, including visual stimuli.

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YabbleVirtual Audiences

PRODUCT PROFILE

About this product

Yabble documents Virtual Audiences as a research product that combines language models with trend, social and behavioral information to create a modeled audience for a defined question. The supplier says proprietary customer data can be included, but its use varies with the available material and the task.

Product details

Information from the company's product materials.

Primary category
Audience simulation

Virtual Audiences is presented as a modeled audience for exploring research questions, concepts and visual stimuli.

Yabble: Virtual Audiences

Offering
Virtual audience platform

The supplier documents audience questions, synthetic respondents, reports and the option to add proprietary data to the underlying knowledge base.

Yabble: Virtual Audiences · Yabble: Virtual Audiences validation

Research posture
Exploratory and early testing

Yabble's published guide identifies market exploration, trend analysis, competitor review, simple segmentation and simple concept tests as current use cases.

Yabble: Virtual Audiences validation

Access
Platform engagement

The public material presents Virtual Audiences as a Yabble product and directs prospective users to contact the supplier. It does not state a current self-service pricing schedule.

Yabble: Virtual Audiences

Research methods and outputs

Methods described by the company.

  • Question-led audience creation

    Yabble says its augmented data model combines large language models with relevant trend data, social data and behavioral statistics to create an AI-generated audience for a research question.

    Yabble: Virtual Audiences

  • Audience conversations and research outputs

    The supplier documents surveying and interviewing a target audience, obtaining key insights, continuing conversations with personas and exporting a project as a report.

    Yabble: Virtual Audiences validation

  • Synthetic versus traditional insight comparison

    Yabble describes validation of similarity, quality and depth of insight, including distribution and topic comparisons between generated material and traditional research datasets.

    Yabble: Virtual Audiences validation · Yabble: ESOMAR AI services questionnaire response

Data and study setup

Data and settings the company says teams can choose.

  • Public and proprietary information

    Yabble describes aggregating public sources including social platforms, forums, reviews, statistics and academic material. It says a user can also add non-public data to enrich a Virtual Audience.

    Yabble: Virtual Audiences validation · Yabble: Virtual Audiences

  • Task-dependent use of supplied data

    The supplier says the role of proprietary data varies with its volume, content, completeness, relevance and recency, as well as the question being asked and opportunities for cross-checking between sources.

    Yabble: Virtual Audiences

Reported results

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

Provider-reported validation summary

Yabble reports average similarity of 90% between its synthetic and traditional research results in proof-of-concept and validation projects. Its validation document describes similarity checks using distance to closest record, cosine similarity and topic distribution, alongside ARES-based assessments of insight quality and depth.

These figures and methods are reported by Yabble. The public summary does not provide the full set of studies, study populations, question designs or calculation details needed to apply the 90% figure as a general performance result.

Yabble: Virtual Audiences validation · Yabble: ESOMAR AI services questionnaire response

Study limits

  • Use cases are bounded by the supplier's own guidance

    Yabble's published guide recommends particular early-stage uses, including exploration, trend analysis, simple segmentation and simple concept testing. That guidance does not establish suitability for every form of population estimate or high-stakes decision.

    Yabble: Virtual Audiences validation

  • Data inputs and recency affect the output

    Yabble says the relative use of proprietary material varies by the data provided and the question. It also describes an inherent recency bias, so older customer data may carry less weight than newer information available to the model.

    Yabble: Virtual Audiences

Sources

  1. Yabble: Virtual Audiences · Provider product and methodology overview
  2. Yabble: Virtual Audiences validation · Provider-reported validation
  3. Yabble: ESOMAR AI services questionnaire response · Provider methodology disclosure

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