Rascasse› Comparison› Rascasse vs. YouGov

Direct comparison

Rascasse vs. YouGov

YouGov asks a large recruited panel what they think and do. Rascasse observes what large numbers of people actually did. Both are legitimate; they answer different questions, and the honest comparison is about which question you have.

The short answer

If your question is about attitudes, perception or stated motivation, YouGov is the right instrument and no behavioral source substitutes for it. If your question is about where an audience concentrates, which properties it overindexes on, or how demand is moving month to month, a behavioral source answers it at finer resolution and across far more entities.

Side by side

YouGov figures from yougov.com/business/products/profiles, retrieved 13 September 2026. Rascasse figures are our own published coverage.
CriterionRascasseYouGov
MethodObserved behavioral signals — search, social, events, sponsorships, points of interestOnline panel with continuous survey
Coverage500,000+ entities, 31 built-out markets30 million+ panel members, 49 markets, 2 million+ datapoints
Update frequencyMonthlyCollected daily, refreshed weekly
Finest geographic levelPostal codeMarket and region
Measures attitudesNo — behavior onlyYes — this is the core strength
Entity coverageAny entity with observable activity, including ones never put in a questionnaireBrands and categories included in the questionnaire
Profiles publicly viewableYes, without loginNo
SponsorshipPartner discovery, fit, impact measurementYouGov Sport
AccessWeb, API, MCP (where contracted)Web, API, activation integrations

Where YouGov is stronger

  • Attitudes and perception. Brand consideration, purchase intent, trust, stated preference — these exist only as answers to questions, and no volume of behavioral signal contains them.
  • Demographic representativeness by design. A weighted panel is constructed to represent a population. Behavioral coverage skews toward the digitally active, and honest behavioral providers say so.
  • Brand tracking over time. Continuous perception tracking with a consistent instrument is a panel discipline, and YouGov's weekly refresh is fast for that method.
  • Market breadth. 49 markets against our 31 built-out markets.
  • Custom questions. A panel can be asked something new. Behavioral data can only be asked what behavior already implies.

Where Rascasse is stronger

  • Geographic resolution. Postal-code level against market and region. This is a structural consequence of sample size, not of effort — panel cells thin out quickly below regional level.
  • Entity coverage. A questionnaire can only ask about brands someone chose to include. Behavioral coverage extends to 500,000+ entities, including the smaller properties that sponsorship shortlists are increasingly drawn from.
  • No recall bias. Nothing is being remembered or self-reported, so the gap between what people say and what they do does not enter the measurement.
  • Verifiability. Every Rascasse profile is public without a login, so a claim in a deck can be checked by the person receiving it.
  • Machine access. A REST API, and MCP access where it is part of the agreement, so the data can be queried directly from an assistant rather than exported by hand.

Where the two genuinely overlap

Both describe audience composition — demographics, interests, media behavior — and for that overlap the practical question is resolution against representativeness. YouGov's composition is representative by construction but stops at regional level. Ours resolves to postal code but reflects observed activity rather than a weighted sample. Neither is universally better; they fail in different directions.

A useful test: if the finding needs to survive the question "is this sample representative?", use the panel. If it needs to survive "does this hold in Dortmund specifically?", use behavioral data.

Used together

The combination most teams end up with: behavioral data to screen a wide field and to resolve geography, panel research to test the shortlist in depth and to measure what people think about it. A sponsorship decision is a clear example — behavioral analysis narrows hundreds of properties to five on audience fit and geography, and survey research then tests brand fit and perception on those five, which is where attitudinal measurement earns its cost.

What should not happen is merging figures from both into one number. They measure different things on different bases, and a combined figure is not more accurate than either — it is unattributable.

YouGov figures quoted from yougov.com/business/products/profiles, retrieved 13 September 2026. We do not measure or test other providers' products; everything stated about YouGov here is their own published claim. If a figure has changed, tell us and we will correct it.

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