3 ms·
Or A/B test it all against what actually leads to sales, and then use that. It might be the case that we think we want no fluff, but we're actually swayed more
by jawns 3y ago
Or A/B test it all against what actually leads to sales, and then use that.
It might be the case that we think we want no fluff, but we're actually swayed more by fluff.
- ilrwbwrkhv 3y agoYou might not get statistic significance if your numbers are low when first starting out.
- swyx 3y agothe problem is 1) sample sizes are very low for early startups 2) feedback loops (esp for higher ACV) are long, sometimes >1 year. you still need principles to drive at the end of the day
- alphager 3y agoI don't think that A/B tests work for things that enterprises buy. The normal workflow is 1. Dev visits the site, gets convinced that he wants the tool. 2. Dev convinced management to allow the expense. 3. Dev visits the site and buys the tool. You want to test step 1 but only get data for step 3, where the content of the site is completely irrelevant.