Get access to compiled data from 1000+ e-stores in different industries and see where you stand in terms of Customer Retention, Customer Segmentation, eCommerce Analytics and Customer behavior. Brought to you by our partners Omniconvert.
A step-by-step guide to personalizing your customer experience, brought to you by our partners AB Tasty and Heap. Understand the basics of data management for personalization and how to build an effective personalization strategy.
Over 210 brand-side experimenters shared where and how their businesses were performing when it come to experimentation. Find out what you can do to get ahead of your competitors with a list of must-have experimentation practices that most businesses aren't doing.
This web guide by Zuko covers everything you need to know when it comes to optimizing web forms for conversion rate performance. Including general principles to improve your form performance, common form issues, high impact tips, and best practice form design.
Choosing which calculator(s) to use for your experimentation program is a big decision. Try out our calculator which will help you to answer all your pre and post test analysis questions.
If you want to run a successful A/B testing program it's essential to prioritize your ideas in a way that's objective and based on facts, not opinions. You can grab your own copy of our framework and save a copy to customize it. It's completely free and will save your team countless debates about which A/B test to carry out first.
Bigger images should make you pay more attention to them, right? Well, maybe. We decided to test that assumption in regards to eCommerce product pages. In this study, we explore how elements of a product page affect users' visual perception and perceived product value.
This experiment looks at how viewers perceive a product page when the product image size changes.
Product page copy is something that, generally, gets ignored. Not just the content, but how it is formatted. In this study we wanted to explore how elements of a product page affect users' visual and value perceptions.
This experiment looks at how users view a page and read product text descriptions when the text format changes.
When I think back to where we were two and a half years ago, the biggest issue with our testing program was that we tried several small ideas in different places and didn’t iterate enough on concepts. Our ideas were driven by individual opinions and changes that we saw our competitors making, which is one of the worst ways to run a testing program.
Here’s our story of bringing experimentation into a $51 billion company with 71,000 employees spread across 96 locations worldwide.
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