A/B testing prices. Never heard of that before, seems interesting. I have heard of people creating landing pages to get a mailing list of people interested.
Are you collecting their email's, sending them to a page or social page to check back when your product is available?
Someone picking a higher price, and you end up pricing it lower that sounds like a plus. If someone picked lower then you actually price it, wouldn't they have been false advertised to? Unless they actually knew it was a survey up front then that seems more fair.
A/B pricing has just as good of a chance of destroying your business. Far more "everyday" users than you'd expect will Google your company for coupon codes, discount opportunities, etc. The very moment that someone sees a $20 price for them, and finds out that other people are paying $10-15 - you've just lost a customer.
People like to think they're being clever by A/B testing their prices. The fact is enough people are smart enough to figure out that their "A" slot is worse than the "B" slot you've given other people.
A/B testing prices is huge. In fact it is so common that loads of web scraping products get totally caught out with it (as ecommerce retailers tend to give the best prices to new customers, ie ones without tracking cookies set).
This actually totally broke one startup I knew (that was trying to build an API for ordering products from loads of ecommerce sites).
This goes back to the days of newspapers, classified ads, and late night infomercials detailing how you can get rich from thousands of tiny little ads. One trick was to advertise a product at a specific price, saying "Send in your check or money order for $99 to P.O. Box..." and state that delivery was in 6 to 8 weeks. If you got enough orders, then purchase the product at a bulk rate and fulfill the orders. If not, send the payments back to everyone with some apology. Rinse and repeat with different ads at different price points until you find what generates the most profit.
Are you collecting their email's, sending them to a page or social page to check back when your product is available?
Someone picking a higher price, and you end up pricing it lower that sounds like a plus. If someone picked lower then you actually price it, wouldn't they have been false advertised to? Unless they actually knew it was a survey up front then that seems more fair.