A panel of real people to reflect real life

There are many ways to measure panel quality. However, whether a panel can represent populations to a high statistical standard, and reflect full diversity, is of critical importance. While anyone can join our panel, we choose which panelists we invite to take each survey and have rigorous processes in place to ensure the quality of responses included in the final results.

Another important measure of a panel is size. YouGov has a panel of over 29 million registered members and is working in 55+ markets. Many data suppliers don’t have their own proprietary panel but instead work with partner vendors or river sampling to boast access. YouGov continues to strive to be the biggest, most representative and most connected proprietary panel in the market.

Another hugely important measure of panel quality is the ability to re-contact respondents. YouGov has the highest re-contact rates, meaning we can create genuinely connected data at scale, and build on your research. Ask us for 50% re-contacts in a follow-up survey, and you’ll get it. Without high re-contact rates, you are just left with the data collected from a single survey, which is not enough.

It includes behavioral, opinion, demographic, psychographic, and shopper data across over 18 million shopper trips. Our behavioral data is best-in-market and includes search browsing data, streaming data across all platforms, banking transactions, and more. Combining this with YouGov’s attitudinal data gives you an unparalleled understanding of consumers. You’ll discover what people buy, why they buy it, what leads them to make a purchase and what marketing influences their decisions.

YouGov operates globally, in over 63 markets.

All our surveys are conducted online and can be taken on a phone, tablet, or computer – when and where respondents choose. Surveys can include a variety of question types, as well as images, audio, video, and explanatory text to provide context or gather reactions.

After our surveys finish, we use a process called weighting to make our results more accurately reflect the population we intend to represent. This method gives more or less weight to each respondent based on their demographic characteristics, such as age, gender, race, education or voting preferences. Our weighting process also considers multiple characteristics simultaneously to increase our sample's accuracy in reflecting the way demographic characteristics intersect in the real world.