Archive for Online Testing
Best Practices & Implementation in Web Site Optimization
Posted by: | CommentsBest practices by definition are ways to do “things” that are more effective or efficient than the other existing ways in order to reach the desired outcome. Every industry has best practices, and almost every task seems to have one as well. Usually they become best practices because a large group has reported that they are following that particular process or procedure and have more effectively or efficiently reached their desired outcome, or even that they have implemented that best practice with no lesser outcome. Many times, best practices are reported and shared by industry associations, seminar speakers, books and reference materials, or even from special reports from your favorite blog or author. From here they spread even more so and become in many instances common place almost as a required implementation to do.
But, this article isn’t really about best practices themselves though, best practices do serve a very import role – even alerting you to what others are currently trying and to foster idea and innovation generation, but rather this is about best practices and marketing optimization – making sure that you don’t blindly implement them and possibly become part of the minority that they didn’t work for and ultimately move further away from your desired goals.
What you’ve heard, read, or been told is a best practice, might not produce the best results for your own website and the traffic that is visiting it – but how do you know?
For example, a certain best practice may be a best practice for 78% of your industry peers, but then this would leave 22% who either didn’t implement it, never heard of it, or it didn’t work for. Not to mention that out of the 78% who did implement it we have no proof of the level of effectiveness it proved to be for each -and are they well versed in reading the results, did they have the right tools to read the results, did they have unknown problems with their tracking, and so on. Now, this isn’t saying that out of that 78% all of them are wrong for using it; maybe 77% were correct in doing so. The point being is that we need to determine how this best practice will work for us and what we are attempting to do and achieve. The proper way to do this is to test the best practice just as you would test anything else.
ColonialCandle.com, according to quotes that appeared on Internet Retailer by Internet marketing manager Katie Fernands, recently ran a multivariate test on a page from their website using Google’s Website Optimizer. This winning page combination was different than their marketing and design departments’ assumptions of not requiring a visitor to scroll down a page too much to view content. In fact their longest page combination increased page conversions by 20% and produced $20,000 in incremental revenue.
Had they not tested (or maybe this was a blind discovery, not sure as I am not aware of the actual test hypothesis they had) the best practice of limiting scrolling on an ecommerce site Colonial Candle would have not discovered that for them a longer page that required scrolling produced better results in producing more conversions resulting in more revenue.
Bottom Line: It’s important to test the best practices for your website rather than just implementing them as gospel in order to make sure that they produce the same results for you that made them known best practices in the first place.
The Other Cost of Cart Abandonment
Posted by: | CommentsHow much is your existing ecommerce cart costing you in cart abandonment? Notice that I didn’t ask you how much revenue you’re potentially losing from those cart abandons.
Take a look at this scenario:
- Each week 1,000 visitors to your online store place an item or items into your ecommerce cart.
- You know that from your research each visitor that adds an item to your shopping cart costs you $12 to acquire.
- You also know from your analytics that your cart abandon rate is 90% (or conversely a 10% conversion rate)
So in this scenario, 900 visitors out of the 1,000 (90%) visitors each week that place an item into your online shopping cart bail and do not purchase, but you have paid for their acquisition anyways. At the $12 per visitor that puts an item into your cart acquisition cost, it’s costing you $10,800 per week ($561,600 per year) for just those visitors that bail out of your cart. How is that so? Continue reading to follow my logic.
So you do some what-if scenarios and believe that with optimization you can get down to an 88% cart abandon rate from your existing 90% abandonment rate (or conversely a 12% conversion rate).
You decide to optimize your shopping cart, and your cart abandonment rate decreases to 87% (better than your prediction of the improved 88% abandonment rate- woohoo!). Now each week your cart is costing you now only $10,400 per week or $542,880 per year – that’s $18,720 less per year, PLUS the additional revenue of those 1,560 paid sales from your cart optimization efforts.
Ok, so you know just as well as I do that that either way you’re still paying the $12 per visitor that puts an item into your cart. So your actual costs haven’t gone down at all, BUT…
Why does this matter and how do you really use this information?
Although your numbers may vary – from the dollar cost of each acquisition that you pay, to the number of visitors that put items into your cart, to your cart abandonment rate. This is purely an exercise in reasoning or a cause for optimization or software upgrading, in other words, an additional metric to prove the value of taking action.
What if your current shopping cart is limiting you to what you can test (or maybe for some reason you can’t perform testing on it) because it’s a third-party application that you have no control over, a legacy cart system that additional programming looks to be costly in time and resources, or some other preventive reason that does not allow you to optimize your cart in the ways that you know you need to in order to increase desired performance.
What if you work for an organization that doesn’t fully believe in the power of testing and optimization? Or, maybe you work for an organization where they are tightening the budget in the current economy and are not interested in investing in optimization.
Your current cart, its current conversion ability and its abandonment rate could be in many ways costing you more in acquisition costs (not including the opportunity costs) than it would cost to fix the problem.
This dollar amount, the cost of cart abandonment, is the cost of leaving your cart as is – the true cost of abandonment of your online shopping cart to you.
How to Document Your A/B or Multivariate Test
Posted by: | CommentsIt’s imperative to document every effort of your online testing and optimization program. Not only to see the progression of improvement over time, but to also have reference for future tests you are planning or questions that may arise from others you are working with.
How I document my A/B and multivariate testing is as follows:
First, I primarily use Excel for all my documentation efforts due its ease of use.
I create a Master Test spreadsheet that serves as a very top-level summary for quick glancing. This spreadsheet is constructed to have column headers for the following:
- Test name – giving each test a descriptive and unique name
- Test date range – documenting the start and finish date of my tests
- Test hypothesis – why I am running this test and why I believe my outcome will be such
- Results – brief description of the result
Each row is for a single test. I then link the Test Name cell for each test to another spreadsheet that is built specifically for that test (If you have ten tests in the Master Test spreadsheet each test would link to its own Individual Test spreadsheet for a total of 10 spreadsheets plus the Master Test Sheet).
Each Individual Test sheet contains multiple tabs and information, and this is where the detail will go throughout the test.
The first tab contains the test information and summary and broken into sections:
- Test name
- Test date range
- Test hypothesis
- What type of test (a/b, multivariate), and how many panels or combinations
- Traffic data (source of traffic, and current traffic stats)
- What type of metrics I will be using to determine the results and how to determine the metrics (is conversion impressions divided by sales, or impressions divided by clicks on a certain button etc?)
- A space to record final metric results (control performed as such, top performers identified individual performed as such)
- Learning’s (both as the test is live and from the results)
- Ideas for future tests based off of this information
- Next actions (will this be rolled out etc.)
- Miscellaneous notes
I also have other tabs in the Individual Test spreadsheet:
- Screenshot of control
- Screenshots of test panels or combinations (depending on how many there are). If there are too many panels or page combinations to take screenshots of, after the test is ended I take screenshots of the top performing test panels for future comparisons)
- Screenshots of Test statistics (When I am using Google Website Optimizer I take daily screenshots of the stats admins. and store in a separate folder, but the final screenshot from the point at which we end the test is stored in the Individual Test spreadsheet – just in case I transcribe something wrong I have an actual reference to go back to.
- Various other tabs as necessary for reference such as more detailed metrics information, etc.
I also keep a folder for each test (with the folder using the test name) that contains my test spec PowerPoint so that I can see all of the elements or options that we are using, analytics data, screenshots of everything-basically anything used from the conception of the test all the way through to the end.
What this enables me to do is at any point in time have a huge history of each test both from a visual standpoint and data-driven standpoint. The Master Test sheet gives me quick access to the individual tests but also a timeline of the testing I have done.
Google Testing their Business Solutions Page
Posted by: | CommentsThis morning I went to log into my Google Analytics account and noticed when I first went to Google’s Business Solutions page I had entered into one of their Google Website Optimizer tests on that page.
It looks like they are testing only the top portion of the page and testing the following:
- Layout of the top paragraphs (3 paragraphs straight down vs. 1 paragraph on top and 2 below side by side)
- Position/Placement of the Get Started button on the page
- Background box around the button (visible vs. not visible)
- Google Analytics paragraph healdine (Increase website conversions and marketing ROI vs. Increase website conversions and marketing ROI with Analytics)
Here are screen shots from the test 5 pages displaying in their test (click thumnail for full size):
I should note that these screenshots only show the top of the actual page where I noticed the different test elements, to see the entire page you will need to visit their Business Solutions page.
A/B Testing Low Traffic Web Pages
Posted by: | CommentsSometimes the website or the page you want to test just doesn’t have enough traffic to really perform an large multi-panel A/B or multivariate test on it with multiple elements or variations. But perhaps you still want to improve upon its performance. Maybe you just recently launched a website and it’s receiving some traffic but you still really believe that you could influence the current traffic better to get better results. Maybe you aren’t getting 100 orders per week, but you are getting 10, and you believe that you should be able to get to 20 orders with improvements to the page without an increase in traffic.
Lower traffic shouldn’t stop you from still performing a small A/B test as you can still learn a great deal of information with the web traffic that you do receive. But the key is to test the high impact elements on the page that are easily noticeable either consciously or subconsciously by the visiting traffic rather than the minutia that would allow you to see incremental improvements with higher traffic pages.
High impact elements will vary according to your page design, but think along the lines of your:
- Main Headline
- Page Background Color
- Main Hero Image
- Drastically reducing or increasing your registration form fields
- Your Offer
Of course with less traffic you will only be able to test a few variations due to the fact that you don’t have the traffic to get statistically significant results with lots of variations. However, this shouldn’t stop you from creating a list, sorted by priority of impact to continue testing over time. Maybe you can’t test 6 different page variations right now in the first round of testing, but it might be viable for you to test 2 page variations, and then continue testing your other ideas with the winner of the first round of tests.
Want to learn more about A/B testing your low traffic pages? Check out How to Do A/B Split-Testing on Lower Traffic Sites with Bryan Eisenberg at Dr. Ralph Wilson’s Web Marketing Today blog.
Good luck and remember although you might not be able to test everything you want to right now, anything you can do to statistically improve your results is a good thing!






