Quantitative Research

Syndicated Research

Syndicated Research

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Qualitative insights at the speed of your business

Conveo automates video interviews to speed up decision-making.

Definition:

Syndicated research refers to studies designed, fielded, and owned by a research provider, then licensed to multiple client organisations who each purchase access to the same dataset. Because costs are distributed across buyers, syndicated research makes large-scale quantitative data, such as category tracking, audience segmentation, and competitive benchmarking, more accessible than custom primary research. Within quantitative research, syndicated studies typically deliver standardised metrics that allow cross-industry comparison and trend analysis over time. The trade-off is specificity: syndicated research answers broad market questions well, but cannot address the particular strategic or product questions a single organisation needs answered. Teams often use it alongside custom research to provide market context.

How Conveo Does It

Where syndicated research provides broad market context, Conveo fills the gap it leaves: the specific, qualitative understanding behind the numbers. Teams can launch AI-moderated video interviews in under 30 minutes and reach decision-ready findings in days, not weeks. Every participant is a real person recruited through Conveo's integrated panel network or a team's own list, with no synthetic respondents. At enterprise scale, Conveo runs hundreds of conversations simultaneously across 50-plus markets, giving teams the depth that syndicated data cannot provide.

Frequently asked questions.
Syndicated research is market research designed and conducted by a provider, then sold to multiple client organisations. Because the cost of data collection is shared across buyers, it offers access to large-scale quantitative datasets, such as category trends, audience profiles, and competitive benchmarks, at lower cost than a bespoke study. The data is standardised, which makes it useful for market-level comparisons but limits its relevance to any single company's specific questions.
Enterprise teams use syndicated research primarily for market context and benchmarking. It provides a cost-efficient way to track category trends, understand audience size and composition, and compare brand performance against competitors using standardised metrics. For teams with limited budgets or tight timelines, syndicated data can establish a baseline quickly. It works best as a complement to custom research rather than a replacement, since it cannot address organisation-specific questions or explain the reasoning behind the numbers.
Syndicated research is designed for a broad audience and sold to multiple buyers, covering general market or category questions with standardised metrics. Custom research is designed for a single organisation and addresses its specific strategic, product, or brand questions. Syndicated studies are faster and cheaper to access but offer limited specificity. Custom research costs more and takes longer but delivers findings directly relevant to the decisions a team is trying to make. Most enterprise programmes use both in combination.
AI is making it easier to interrogate syndicated datasets and connect them to proprietary findings. Research teams can now layer AI-moderated qualitative interviews on top of syndicated quantitative data, quickly exploring why the numbers look the way they do. Platforms like Conveo allow teams to run targeted follow-up studies in days, turning a syndicated benchmark into a starting point for deeper investigation rather than a final answer. The result is faster, more contextualised understanding without duplicating the broad data collection syndicated research already provides.
Enterprise teams typically use syndicated research to establish market baselines, track category trends over time, and benchmark brand performance against competitors. In practice, it often informs the brief for custom research: a syndicated study might show that brand consideration has declined, prompting a qualitative investigation into why. Insights, CMI, and strategy teams also use syndicated data to align internal stakeholders around a shared view of the market before commissioning more targeted primary research to answer the specific questions that follow.
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