Illegitimate companies and scammers have a simple objective. They're after your information in order to get your money. It's much more common for internet scammers to target hundreds of people for small sums rather than a single person for thousands. This is because demanding large sums for a product that is somewhat unclear is an obvious red flag to most.
And lastly, let's discuss privacy. In some ways, Pinecone Research gets it right – they use the information to verify you are not a duplicate or in any way defrauding them out of a valuable opinion. After that, they only use your personal information for developing metrics and usage statistics – not giving it out to every third party that comes along. More importantly, they take consumer information privacy seriously. When they compile their reports for their clients, they scrub all data of any identifying information.
Like American Consumer Opinion, Harris Poll Online offers cash incentives to people who are willing to log in regularly and complete online surveys and questionnaires. Once you join, you’ll begin earning rewards for each survey you take. Once you earn enough reward “points”, you can turn them in for purchases made on websites like Amazon, iTunes, Home Depot and Walmart. Conversely, you can also turn in your points for movies, books, and home goods ordered straight from the Harris Poll website. Plus, you’ll be entered into a $10,000 sweepstakes each time you complete a survey.
A popular and free survey site, Toluna boats more than nine million users across the globe and is well known in the industry, having been running for 17 years. Offering questionnaires for you to fill in to provide leading companies with your opinions, Toluna also runs a range of internal games and schemes, as well as offering product testing to some lucky users who can bag free products.
Joining isn’t as straightforward as merely signing up, because you need an invite. However it’s not as tough as it sounds, as there are plenty of links doing the rounds online if you look hard enough, and Pinecone also advertises on websites, so you might get lucky by keeping an eye on banner adverts. Once you’ve signed up, you’ll be vetted to see if you qualify – based on whatever demographics their clients want at that point – and if so, the fun begins!
Sometimes survey invitation links direct you to other survey companies, rather than keeping things in-house, which can feel a bit like spam. As is common in the industry, you can sometimes get stuck filling out lengthy qualifying questions which take up to 30 minutes just to see if you’re eligible for a survey. Needless to say if you find out you are not then this is extremely frustrating.
The concept of data mining and profiting off that data mining isn't anything new. And while some companies engage in some rather disreputable practices to do this, Global Test Market seems to be doing just fine with the whole “consent to disclose” thing. More importantly, in some cases this may help you as some companies will offer to do more specialized product testing once they've identified you as their target demographic.
I have a very serious question I have been a member of InboxDollars for over 2 years they send me emails that say here’s a survey for you and they waste 10 minutes of my time going through it to tell me that I don’t qualify I wrote them and said I gave you all my demographic information please do not send me this and waste my time but they consistently do that.
Something very important to note before signing up at any site claiming to pay you cash to take surveys is that all legitimate sites offering online surveys that pay do not charge registration fees – they are free to join. Some sites may even offer you bonus as you sign in, to show you they are happy you have become a part of their team and helping them increase their revenue.
Select a representative sample: Selecting a representative sample from your sampling frame is also important for collecting valid and reliable data about the population of interest. For example, if you are sampling from a large database of customer email addresses and only wanted one response per household, you might want to cross-check each email address against mailing addresses and remove duplicates to avoid some households having a greater probability of selection. Then you would likely draw a random sample from the remaining list of email addresses.