Branded Research

By combining AI-assisted survey design, automated respondent matching, and fast data collection through its proprietary consumer network, Branded Research enables companies to move from research question to validated insights in days rather than the weeks or months typical of traditional market research methodologies.

The platform's consumer panel spans a diverse, verified audience across demographics, geographies, and consumer segments giving brands access to the specific respondent profiles their research requires.

AI-assisted targeting ensures that survey responses come from the most relevant consumers for each research objective, improving data quality by reducing the noise introduced by mismatched respondents who are outside the intended target market.

Survey design on Branded Research benefits from AI guidance that optimises question structure, response scales, and flow for engagement and data quality.

Poor question design is one of the most common sources of unreliable survey data, and AI-assisted design reduces bias, leading questions, and fatigue-inducing length producing cleaner data that can be acted upon with greater confidence than surveys designed without these guardrails.

Results are delivered with automated analysis that surfaces key findings, significant differences between respondent segments, and trend patterns within the data reducing the analytical burden on research teams and ensuring that critical insights are not missed in large datasets.

Dashboards present findings in an accessible format that can be shared across stakeholders who lack statistical expertise, making research insights broadly useful within the organisation.