The nice thing about qualitative responses is that although you may only a 4-6% response rate, many of those responses can be generalized to the remaining 96% of customers.
Most of my open source work is around behavioral analytics and trying to understand behavioral flow and intent. I've been fascinated lately by understanding the implicit state of users (new visitor, registered, trialing, paid, churning, etc), how that affects their behavior, and what events/actions within a product lead to drop off. It's definitely an untapped opportunity.
I like what Qualaroo is doing for qualitatively determining intent. On the quantitative side, though, what do you feel like analytics tools are lacking when it comes to determining intent and optimizing conversion?
The nice thing about qualitative responses is that although you may only a 4-6% response rate, many of those responses can be generalized to the remaining 96% of customers.
Most of my open source work is around behavioral analytics and trying to understand behavioral flow and intent. I've been fascinated lately by understanding the implicit state of users (new visitor, registered, trialing, paid, churning, etc), how that affects their behavior, and what events/actions within a product lead to drop off. It's definitely an untapped opportunity.
Thanks for the response!
I like what Qualaroo is doing for qualitatively determining intent. On the quantitative side, though, what do you feel like analytics tools are lacking when it comes to determining intent and optimizing conversion?