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by lionpixel
2859 days ago
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Based on the location we get some first demographic information (like banking sector, shopping mall, university campus,..) In case of political questions it is not enough to place only one station in one city but instead up to 20 stations in more than 5 cities. A typical question would be “Would you vote for Person A or Person B?”
The system then periodically makes a pattern analysis and informs you about insights (“People with an academic background tend to vote for person A whereas people in north Germany tend to vote for B”) The technology is most powerful when many stations are activated and orchestrated at the same time at different locations. |
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I don't think that would be good enough for a poll used by most US political campaigns. Even the tiny amount of news funded surveys care about xtabs with meaningful voter data. I have seen a few huge response rate online surveys for a simple presidential head to head but it's a tiny market without more voter data attached and only for giant races with news tracking.
I think knowing what census tract one of these machines is in wouldn't be enough data for political surveys, same w example of being near a university.
We actually field online surveys but we use voter file data to target and we ask for respondent info to match back to voter file. We mostly only use them to measure our digital ad's recall and persuasion.
I wonder if your product would be a better fit for say a brand advertiser; everyone is a potential customer versus in the US few people vote. Plus it's easy to measure 1-10 do you like this CPG or have you seen an ad recently.
I also think there are some potential cool use cases using ML to infer gender, age bracket, race. For instance in live person polls often times the interviewer makes a note of the voice's likely gender. Again more valuable for a brand advertiser to know those demos for simple CPG attitude surveys. Really the best value for my work would be if could match a persons photo to like FB's db or maybe in China lol