Thank you for this well-researched and very informative review. With the price point being so high, it’s very helpful to have an unbiased opinion of it before making a purchase. Just curious, how long did it take you two break even after your purchase of the program ? It seems like you could make your money back, and more, pretty quickly if you follow it.
A/B testing, or A/B split testing, is a method for testing two versions of a webpage: version "A" and version "B". The goal is to test multiple versions of webpages (e.g., home page vs. product page) or one specific element that changes between variation A and variation B (such as having a lead form on the left hand side or having it placed on the right hand side), FAQ to determine which version is most appealing/effective. This testing method may also be known as A/B/n split testing; the n denoting more than 2 tests being measured and compared. The data for A/B testing is usually measured via click-through rate or an alternative conversion tracking method.[11] 

It's no surprise Unbounce is near the top of this list -- they've actually written the book on creating high-converting landing pages. Although there are lots of amazing things about this landing page, the two that I absolutely love are: 1) The use of a chat window instead of a classic form, and 2) the detailed -- but well packaged -- information below the form.
Imagine an autoresponder that doesn't just send emails, but allows you to track which channels your visitors are coming from, segment them based on actions they take and who they are (what they do in your funnels, how socially connected they are, what they purchase and more!), create custom follow up sequences (email, text messages and more!) for each visitor and FINALLY see the TRUE Lifetime Value of each of your customers!
Nauto, a data platform for self-driving cars, helps make autonomous driving safer for companies who manage fleets of self-driving vehicles. Naturally, its customers would need all kinds of information to sell them on this platform. Nauto has it, packaged into a super-simple ebook whose landing page gives you both a brief contact form and some preview statistics to prove why this resource is so important.
Full disclosure: IMPACT is a HubSpot partner -- but that's not why they're included here. IMPACT's landing pages have long been a source of design inspiration. I love the simple layout of the page, from the large headline copy and detailed featured image, to the outline that surrounds the form, to the colors and fonts that are very pleasing to the eye.
Nauto, a data platform for self-driving cars, helps make autonomous driving safer for companies who manage fleets of self-driving vehicles. Naturally, its customers would need all kinds of information to sell them on this platform. Nauto has it, packaged into a super-simple ebook whose landing page gives you both a brief contact form and some preview statistics to prove why this resource is so important.
Of course, the address itself won't be enough to estimate the value of a home. It just denotes the home's neighborhood. That's why the next page follows with more questions about the property itself, like number of beds and baths. Below, you see the copy "Tell us where to send the report" -- with a disclaimer that, by entering this information, you're agreeing to connect with a real estate agent. This is a great example of a company giving value to their visitors from the get-go, while setting visitors' expectations about what will happen as a result.
Total-experience testing, or experience testing, is a type of experiment-based testing in which the entire website experience of the visitor is examined using technical capabilities of the website platform (e.g., ATG, Blue Martini Software, etc.). Rather than creating multiple websites, total-experience testing uses the website platform to create several persistent experiences, and monitors which one is preferred by the customers.[citation needed]
A/B testing, or A/B split testing, is a method for testing two versions of a webpage: version "A" and version "B". The goal is to test multiple versions of webpages (e.g., home page vs. product page) or one specific element that changes between variation A and variation B (such as having a lead form on the left hand side or having it placed on the right hand side), FAQ to determine which version is most appealing/effective. This testing method may also be known as A/B/n split testing; the n denoting more than 2 tests being measured and compared. The data for A/B testing is usually measured via click-through rate or an alternative conversion tracking method.[11]
Open-ended experimentation. This approach is similar to closed-ended experimentation except that more variations will be added for testing and experimentation will not stop when a winner is found. This method is used by large corporation to dynamically improve their conversion rates and improve user experience. Landing page can also be adjusted dynamically as the experiment results change to further enhance user experience.
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