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This one A/B testing case study will leave you smarter and wiser
- robjh 13y agoI didn't click the link, it sounds too much like an advert. But i if i did i suspect that i'd find one weird trick that doctors hate.
- deleted 13y ago[deleted]
- siddharthdeswal 13y agoThanks for the feedback. Tells us we need to think up better headlines.
- tlarkworthy 13y agoI would probably click the one without the price (thinking I was getting a price list for free) Then get really annoyed to find it was trying to charge me $2. increase click rate? ... yes increase conversion rate ? inconclusive I bet they have the conversion result numbers but they either contradicted the story, or were weak results that showed the A/B test wasn't actually useful in this case
- siddharthdeswal 13y agoThey didn't measure how this affected revenue. They're still in the process of rolling out that test. (I work for VWO)
- ScottWhigham 13y agoAnytime I see some crazy wording like, "Which of these call-to-action button versions increased clickthroughs by 600%?", my first thought is "Too small of a sample size". Over a large sample size, it's hard to believe that the difference in those two buttons would be anywhere close to 600%. Maybe I missed it - did she say anywhere how many days/impressions were used?
- siddharthdeswal 13y agoSample size was 4500+ distributed between the two versions. In this case, the sample size was not small but the conversion rate of the page was very low. Which is why a 600% increase was even possible. That's usually a problem with A/B testing in the real world. There are so many websites whose conversion rates hover in the 0.xx% range. Thoughtful hypotheses almost always result in significant gains. Not because they did something magical, but because they simply communicated their business offer better.