Google Consumer Surveys makes use of the inferred demographic and location information to employ stratified sampling method by distributing the surveys based on the targeted audience to our publisher network and/or android smartphone users). We infer demographics through respondents' browsing history (doubleclick cookies for age & gender and IP address for geography), then we match them against existing government statistical data. Google Consumer Surveys uses post-stratification weighting to compensate for sample deficiencies to remove bias among the survey sample. This gives a more accurate result with lower root mean square error (RMSE) which also makes the results better represent the Current Population Survey (CPS).
Google Consumer Surveys performs equal to or better than existing probability and non-probability based Internet survey panels. A full description of the Google Consumer Surveys methodology can be found in our whitepaper and an overview of our validation can be found here.