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Multivariate Testing

Top 10 eCommerce Websites (by Conversion Rate)

Posted in A/B Split Testing, Multivariate Testing on
schwans

The Nielson Company regularly releases data for conversion rate of different websites via its MegaView Retail service. The data (as of March 2010) for top 10 online retails by conversion rate is analyzed in this post. The objective of this list is to give you an idea about to what extent these retailers have been able to optimize their conversion rates.

Top 10 Websites with Highest Conversion Rate

Note the eligibility criteria for this list: To be considered,

Landing Page Optimization tips: analysis of 50+ sites to find out what increases sales and conversions

Posted in A/B Split Testing, Multivariate Testing on
virtualdrive

Last week I offered free conversion rate optimization advice on a popular forum (known as Hacker News). Within a single day I got 50+ requests for help. It was definitely an enriching experience analyzing and dissecting all those websites and landing pages. As I was replying and providing my feedback to those 50+ sites, I started sensing a few common issues that affected conversion rates of all those pages. Without naming any specific URL or site,

Impact of A/B testing on Search Engine Optimization (SEO)

Posted in A/B Split Testing, Multivariate Testing on
SEO-Joke

Update: there is even an official confirmation from Google’s Matt Cutts that split testing does not impact search rankings.

A lot of our potential customers are concerned whether A/B or multivariate testing will have an effect on their search engine rankings. They (obviously) aren’t looking to improve their rankings by using A/B testing, rather their concerns relate to the myth that testing may negatively impact search engine optimization efforts.

Broadly,

Rules-of-thumb for A/B and Multivariate tests

Posted in A/B Split Testing, Multivariate Testing on

I recently got interviewed on Unbounce blog as a conversion hero. In the interview, I shared few rules-of-thumb related to A/B and multivariate testing which you may find helpful. I developed these heuristics while observing and advising hundreds of tests created by Visual Website Optimizer users. So, in this post I will paraphrase and expand on some of the things I shared in the interview.

A/B or Multivariate, which test methodology to choose?

Server-side A/B testing using phpA/B: what is it and why should you care

Posted in A/B Split Testing, Multivariate Testing on
phpablogo

Most A/B testing solutions, including Visual Website Optimizer, fall into a category known as client-side testing. What “client-side” means is that a variation of your test page is created (before displaying to the visitor) by doing manipulations on the browser using clever JavaScript. Your web server always sends the same default version of the page as it would normally do. Since the changes needed to display a variation happen on visitor browser (and not your server),

How to create an A/B split test in 2 minutes [video]

Posted in A/B Split Testing, Multivariate Testing on

We recently revamped the introductory video for Visual Website Optimizer by adding a voice-over and updating it by including some new features (e.g. heatmaps).

From start (entering the test page URL) to end (interpreting test results), all it takes to run your first A/B test is just 2 minutes. And you thought testing is a dark art? Watch the video below:

Do you think video can be improved?

A/B Testing + Clickmaps = Awesomeness

Posted in Multivariate Testing, News on
new-small-heatmap-clickmap

Do you know where visitors are clicking on your website homepage? Do you know which parts of your website are hotspots that attract visitor attention? You can, of course, fire up your web analytics tool and tell me that 20% visitors go to sign up page after visiting homepage but that information doesn’t tell you the whole story.

First, some stats about Visual Website Optimizer homepage: 30% of visitors who come to homepage visit the sign up page too.

3 controversial A/B testing tips that you may not agree with

Posted in A/B Split Testing, Multivariate Testing on
twi1

There are tons of A/B testing articles on the Internet. In fact, Visual Website Optimizer blog is full of them. But let’s admit it, all those guides, tips, tricks ultimately start sounding similar to each other. I decided to write a post on tips that do not have a straightforward logic and are not popularly discussed on the Internet. In fact, people usually do the opposite of what I am going to discuss in this post.

Optimization v/s Validation – two distinct uses of A/B testing

Posted in A/B Split Testing, Multivariate Testing on

It is a myth that A/B testing can only be used for optimization and you need to fully establish a process optimizing it. In other words, many people think that A/B testing is best meant for big guys who already have an established conversion funnel, and now want to squeeze an extra 0.01% out of it. As a natural consequence to this logic, it may appear that A/B testing cannot be used at initial stages of a project (or startup) because there is nothing to optimize yet.

How RIPT Apparel increased their sales by 6.3% using Visual Website Optimizer

Posted in A/B Split Testing, Case Studies, Multivariate Testing on
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RIPT Apparel is a Chicago-based online retailer of one-of-a-kind designer tees and wearable art. They sell one new design by a new artist every day starting at midnight CST for $10 and it is only available for a period of 24 hours. After that period, the design rests in peace forever in the T-shirt graveyard and a new one takes over its place. The sense of urgency created by limited availability of the design can be used effectively to drive sales and that is what RIPT Apparel did in their first A/B test.