Which popular beauty and cosmetics website has the best user experience?
This is a conversion-focused benchmark analysis of four competing beauty and cosmetics websites:
This study examines people’s tendencies to average, not sum, values of items in a list or presented as package deals.
We provide 3 perspectives: 1. we outline what products and lists two academic studies have tested, 2. we duplicate a product and list test with a larger sample size to try and replicate the findings, and 3. we then apply the test to six new products, three experiential products (travel package, hotel night, massage) and three physical products (camera, printer, kitchen mixer).
You know when you search for something on Google sometimes you see review stars next to a search result?
Does it work to attract more clicks?
Inspired by our study Which Types of Social Proof Work Best?, we set out to quantify review stars as a way to increase click-through rates (CTR) in search engine results pages.
What kind of improvement in CTR can we get from including review stars in search engine results, if any? What does that mean for application in your business? We attempt to answer these questions with hard data in this CXL Institute study.
Our research was performed in collaboration with Nitin Manhar Dhamelia from Belron® International, a automotive glass replacement and repair group.
Inspired by some great feedback on our Ecommerce Price Perception and Image Size Study, we wanted to explore price perceptions again, this time related to differing product descriptions.
Do consumers find more value in a blender that makes creamy smoothies and shakes, or a blender with 750 watts of power? What type of product descriptions depict a seemingly high-value product, hedonic ones or utilitarian ones? In this CXL Institute study, we test three different products to explore this question.
We found an interesting, and rather old, eye-tracking study from 2004 and decided to try to replicate a part of it to see how it works today.
This study, conducted through CXL Institute, involved eye-tracking a couple homepages of the New York Times, one from this year, 2016, and one from 2004. Our primary goal wasn’t the comparison to the old study, rather it was to see what were the ‘priority viewing areas’ for how people process a news site and to see if ‘today’s users’ process the contemporary design differently than one from more than a decade ago.
We were asked recently about the effects of using internal promotions (e.g., a discounted product sold within the site) vs. third-party (from an outside business) banner advertising on web site clarity and visitor perceptions.
Our first study used the five-second test to examine whether ads on website homepages distract visitors from understanding a site’s purpose. This follow-up study looks for differences in user perceptions between ad types: internal promotions versus third-party ads.
Nothing works all the time on all sites. That’s why we test in the first place; to let the data tell us what is actually working.
That said, we have done quite a bit of user experience on ecommerce sites and have seen some trends in terms of what generates positive experiences from a customer perspective.
This post will outline 16 A/B test ideas based on that data.
Competitive analysis is an important element of business strategy.
Knowing where you stand in relation to competitors helps define product positioning, channel acquisition, messaging, and more.
But what good is it looking at your competitors specifically in regards to testing and optimization?