With that in mind, I’m going to examine one of the sites mentioned and discuss the good, the bad and the testing opportunities I see.  The (lucky?) site I picked was Picnik, which has done a commendable job on their registration strategy.  (Also, like Widemile, they are a Seattle start-up.)  I only wish the site wasn’t flash based, which is more difficult to optimize.  Despite that, my thoughts on test variations and best practices are still applicable to it and any other registration campaigns.

Quick summary: Picnik is an online photo editing application.  You can upload photos and do easy photo editing all within the browser.  You can try out the app, even exporting and saving photos, without registration.

Let’s get started by checking out their form:

Although a bit busy, I like the way the form assists users.  It has a green highlight to for the selected field and dynamically pops up error messages (see the username alert below).  Additionally, it hides and locks the “again” fields until there is valid input in the corresponding field.

One highlight is how this is a good example of when a lightbox/page overlay type form might be appropriate (note that behind the form is the page I was working on, which has been darkened).  Why is it appropriate?  Because this is the form that pops up after the user clicks “Register.”  It makes sense to be direct and reduce additional marketing if the user indicates they want to sign-up by clicking directly on the register button.

Is this right for your site/landing page/microsite?  It’s hard to say, but I would recommend testing it.  This would fall into the category of a funnel test because it eliminates a page in the registration funnel.  As long as your full page and lightbox form don’t have any glaring issues, you should quickly see the influence of whether a small and direct lightbox form works, or if a whole page with additional information is necessary.

In terms of testing this overlay form, there are a few big opportunities for improvement.

• Testing title and intro copy. Use “free” in the headline and as the first word, e.g. “Free registration”, then list a few benefits rather than saying “All we need is a username, password, and email address.”
• Eliminate typing passwords and emails twice. Test this to see if it has a negative impact on registrations and if it creates lot of nonstarters (people who register but never return to the app.)
• Change the color of alerts to red instead of green because green is the site’s hyperlink color and also used for highlighting the selected field.
• The button should stand out. Call to actions typically work better when they are a different color from the rest of the site.  The button copy should be amped up a bit to “Get Started Editing”, “Save your photos now” or something similar too.

So how does Picnik capture users that don’t click register directly?  They offer it after a photo is saved:

As you can see, this page has a lot more content than the lightbox form since its a full page.  It has the job of pushing someone into registering after having used the product.  This is a good technique (mentioned in Javanovic’s article), but there’s always the question of if you’re offering too much or too little.  Testing how much to offer would be a very interesting and fruitful optimization campaign.

Overall, I’m not a huge fan of this page, but I do like the approach.  It has continuity at the top, showing the actual photo edited, and the form and main registration benefit (”Want Picnik to keep a copy?”) are prominent.  Also, they have structured the page to prioritize their conversion goals, keeping the focus on registration but still advertising the opportunity for people to print their photos or sign up for premium service below.

Here are a few recommendations to improve this page:

• What’s the clock icon for? Make the headline bigger or put in an informative image that will help encourage registration.
• Make the bullet points more prominent. The bullets disappear once the form begins to be filled out, using the same alert and field revealing technique I described with the previous form.  I would make sure the bullets stay on the page.
• Test all the copy.  It’s hard to know what feature is most important to users without testing.  Uploading more photos might be more appealing or saving their connections to Flickr and Facebook.
• Change the buttons. “Close photo” and “Create my account” look the same, they should be differentiated to emphasize their individual actions.  With a primary call to action, it needs to stand out.  Also, I would make the “Close photo” and “Continue editing” buttons much smaller to discourage immediate attention and clicks on those buttons, the point being to drive people to read the registration benefit copy.

Optimizing for registration involves many steps, beyond just improving the registration pages.  You can delve into when to ask for registration, test the ROI of emphasizing different products and then executing  segmentation focused pages as well.  However the easiest returns will come from some simple fixes like I’ve discussed above.

I hope this was helfpul talking over a real example, let me know if you’d like me to do more of these and if there’s any great sites out there I should look at.

All testing should be carefully designed; it should be focused on best practices and tactics that are predicted to connect with the audience. You should take risks when testing, but they should be calculated risks.

Check it out and soak up some knowledge on optimization and get ideas to test on your site.

As an optimization analyst, this is probably the hardest result to bring to a client. Oddly enough, it actually is favorable to part 1’s highly mixed data and part 3. I am talking about optimization that determines that the original page is better than the tested variations.

How does this happen?
Sometimes a page just gets it right. How would you change Google? I looked for a few variations and came across one by Andy Rutledge and another by Valacar. They both are beautiful designs and a lot of thought were put into them, but at the same time, would they really make Google more profitable? It’s definitely a tough sell and there is a big challenge in improving this type of page.

The goal is for users to search. Yes, they want users to click on ads eventually, but there’s not a whole lot they can do for ad clicks on the homepage. The best they can do is get users to search as fast as possible. So would a redesign make it more usable and readable? Maybe. To a level that it would increase their revenues? That’s tough to say.

The more simple the goals of the page, the less information and messaging the users needs, the more likely that the page will be difficult to optimize.

What can you do to prevent this?
Be careful when choosing a page to test. Find a page where the user will take some time to look at what is going on. This is another reason why most landing pages are great places to optimize, because users naturally need to be introduced to the product and sold on why to convert.

The logical thing to do would be to simply refrain from testing pages that seem to be performing well, but this is rarely a good rule. Unless it is performing well because of a lot of testing, then you don’t really know if a page is performing well or not (see my post on conversion rates.) Testing always brings surprises and personal judgment is no replacement for a test; a good looking page can perform poorly and a page with subpar creative can perform great.

What can you do if this happens?

Because of the above reasons, you may actually plan for this scenario to occur. Many people believe redesigning an old page will provide improvement, but what if it is old and performing well? In that case, you may plan to try to improve but not expect to beat the old version.

In any case, if your original page wins, then you have confirmation of your page’s success. It is unlikely that all possible improvements were tested in one test run though, so it may take a few more runs to really confirm its solidarity, but the page has won against the initial best ideas and that is an achievement.

This lesson tells you that you can move on and that is progress in itself.

Moving forward, I would try drastically different approaches, either in layout or design and testing around offers. Otherwise, I would apply the successful original page to tests for other areas of your site.

I have to be honest when I say that this rarely ever happens. Almost every page has room for improvement at every step of the conversion funnel.

Whew, I will try to get the third and toughest optimization result next week.

CC photo credit: philosophygeek

I recently came across a few great posts that I enjoyed and wanted to pass onto you all. The first is from Tim Ash, who has written a great book on Landing Page Optimization. One of his more recent entries discusses how to write effective copy to increase conversions.

One of my favorite bloggers, Avinash Kaushik tells marketers to embarrass their managers in order to succeed at their campaigns. Testing tops that list of course, but his other techniques are great methods at “working the system.”

Lastly, Lenny de Rooy, wrote a guest post at SEO Scoop about 5 misconceptions of Google Web Optimizer. It goes slightly beyond just GWO itself and into testing methodology

If you test a seasonal page, then the optimal page you get for that season, probably won’t perform when the season ends. By not paying attention to those kind of variables, you are setting yourself up into thinking you’ve found the optimal page. The same type of mistake is made by grouping e-mail, print, SEM campaigns and event traffic, unless you know they react the same to your changes.

Even within segments, there might be more segments to uncover. Your only limitation should be traffic; don’t segment so granular that you can’t run a decent sized test in a decent amount of time.

One of my clients doesn’t get a lot of traffic, but the traffic he does get is very distinct. One converts in the single digits and the other converts in the teens. Although combining them would get me more data, it would be very confused data since they convert so differently.

A few things to look out for:

• The ad or offers visitors see beforehand
• Interactions between your factors (if you aren’t testing interactions)
• Technical problems
• Problems that occur before or after the tested page

A note about the last bullet, the problems can range from a technical problem to a problem with the overall funnel. If people get different experiences in the funnel that drastically impact whether they convert or not, it can add a noise to your test. Some examples are different checkout processes for registered and non-registered users or users being inelligible for service.

The purpose of testing is to find out if a certain element performs well under the conditions you provide. If you aren’t paying attention to all the conditions, then the results you derive will be incorrect without you knowing.

Avinash Kaushik, a popular analytics blogger, summed up the juiciest bits of a presentation by Jim Novo at eMetrics. In it, Jim asked, “What data yields insights that can be actioned the most?” The answer:

“[A]ctionability, relevance of insights that can be actioned decreased as you go down the slide”

He makes the point that the farther away you get from the top of the pyramid, the harder it is to accurately predict your users actions. Yet often times too much value is put into the bottom levels of the pyramid. Even when marketers do test and measure actual behavior, they go about it the wrong way because they stick to all this other data too much and end up testing things that are all alike, defeating the purpose of testing.

Think about it, can you really tell if a red button will work better than a blue button if all you have are demographics? There are places for all of these types of data, but there should not be a fear of actual behavioral data. Yes we are using live traffic, yes the data is driven by technology (online visitors, javascript, cookies, rather than people filling out a survey), but those numbers tell a story unlike any other data.

Make the most out of all types of your data, but don’t die by one or the other. Use what’s best for every situation, but realize that you will never know you are right until you test it out.