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Interpreting "likely to pay" survey results

I previously posted about adding a survey to my site to see if people would be willing to pay for a premium version.

Take up on that survey has been quite low - only about 0.1% of my visitors have answered and I currently have a whopping 11 results.

Of those 11, 25% say they are willing to pay. I need to convert 0.1% of my monthly visitors (30k per month, so 30 sales per month @ 0.1% conversion) into paying customers.

Obviously 25% of my 11 respondents is not a fair sample. I am wondering, however, if I am ever going to derive any useful information from this at all. Even if I end up with 100 responses, it's still such a low portion of my users. I reckon those who answer a survey are more likely to buy in the first place; they're the more engaged users.

How do I interpret this data? At this rate I'll need to run the survey for months and months to get even 100 responses.

  1. 1

    Hi, you mention a previous post but I have no link to it - so I don't have much context about your website :-/ from what you tell, I can infer you're already offering a free version and you'd love to add a premium one on the top of that.

    A popultaion of 11 respondants is not much of a deal.

    A few thoughts:

    • have you considered offering product discounts for respondants to your survey ?
    • have you considered using gamification techniques to incentive users to respond ?
    • are your surveys anonymous ? Do you collect visitor's e-mails ? This would help traking respondents and save them into an "actionable" pre-sales list
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