Checkout page A/B testing: 3 dead-simple changes increased sales by 15%
visualwebsiteoptimizer.com
visualwebsiteoptimizer.com
It appears that the test "Boosting All" got out to an early lead (sometimes statistically invalid if there are "forcing links" that the dev team is generating and I've even seen teams use those links to order/convert, without thinking through the implications of those actions on the data purity [they're honestly just testing to make sure the changes don't break the site, and naturally need to test all the way through; I don't think it's done to intentionally bias results])
I'd want to see the graph just from Jan 21-26, or to see the day-wise, rather than cumulative, graph/data. It looks to me like it's not winning anywhere near 15% on the right 2/3rds of the graph.
It would be interesting to now do another A/B with just the extra email info, looking at the 2 examples the lack of info about why you want the email is the major thing that would put me off.