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I've worked with many startups to help them build a culture of data-driven decision making and I'll say from my experience that you don't need massive data to r
by usujason 13y ago
I've worked with many startups to help them build a culture of data-driven decision making and I'll say from my experience that you don't need massive data to run highly valuable A/B tests. Also, with proper segmentation techniques, you can run many tests in parallel.
- jonathanjaeger 13y agoFair enough. My experience is more on A/B testing high trafficked paid lead gen pages, and I understand you can still make conclusions with less data (doesn't need to be massive). But I do agree with the author of the original post that it can be easy to worry about all these different A/B tests that aren't that illuminating in the grand scheme of things when you haven't even got a solid product.
- usujason 13y agoYep, we agree there, the advice of the author is spot on. I think too many startups, and large companies for that matter, think optimization is going to fix all the problems that are inherent in their product/business by just blindly slaping optimization vendor A's tags on the site and money just falls from the sky. Just doesn't happen like that.