Archive for Marketing Basics
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.
Using Goals in Google Analytics to Track Conversions
Posted by: | CommentsA simple and free way to track a conversion on your website is to use Google Analytics’ Goals feature.
Scenario:
Imagine that you have just rented an email list from a list broker to promote your latest product. Not only are you interested in knowing how many product sales you make from this email list to your custom landing page, but are also interested in knowing how many people sign up for your e-newsletter after landing on that page. Of course you want to know this so that you can better understand the ROI of this campaign. You could use Google Analytics’ Goals to learn how many landing page visitors also signed-up for your newsletter.
Goals:
A simple non-technical explanation is that Goals count the number of unique pageviews of a specific url that you predetermined during the Goals setup process. When a visitor reaches that predetermined page, Google Analytics increases the numerical count by one for that particular goal. A goal is incremented only once per single visit, so if a visitor during a single visit reaches that predetermined page more than once, the goal count is only incremented one time so as to not inflate your goal count.
During the Goal setup process, you can also specify the urls of pages prior to your Goal page. What this does is enable you to track visitors who go through a specific first page (by selecting the required step checkbox during setup) before they go through a certain set of predefined pages to reach your goal page, commonly known as a Funnel.
An oversimplified but useful explanation of how to use a goal would be if you wanted to learn how many visitors that went through a specific page (let’s call this page.html) went on to sign-up for your email newsletter on a different page. If after they signed up for your newsletter they were redirected to a thank-you-for-registering page or confirmation page, you would set your Goal page as that thank you page (for this example, this page only being reached by filling out the registration form), and your required step first url as page.html that we referred to above. By configuring a Goal like this, you could see how many unique visitors that go through page.html continue on and sign-up for your newsletter.
Now there is a little more to the planning, set-up and preparation than mentioned above in order to help filter out some of the noise to get closer to the true data, but overall set-up of Google Analytics Goals is really a snap. Currently, Google Analytics only allows you to have 4 goals per profile set-up at one time which means you have to plan accordingly.
Tips to Analyzing Poor SEO eCommerce Conversions
Posted by: | CommentsScenario:
Like clockwork as you do every Monday morning at 10am (after you third cup of coffee and a morning snack) you log into your analytics account to view how much organic traffic is being driven in to your eCommerce website. You’re extremely excited when you see that the number of visits from organic search is growing steadily from last week’s numbers, and the week before, and even the week before that. Your hard work optimizing your pages for the SERPs is starting to see results and your boss is going to be thrilled.
But wait, although organic traffic is climbing up, up, and away, week over week, you cross-reference your sales data again and notice that you aren’t getting any more orders with all this new organic traffic that you have been receiving. How can this be? What could be going on?
Investigation Scenario Tip #1: What keywords are they arriving on?
It’s really important to make sure that you are driving the right search engine traffic to your website. Extract from your analytics account what keywords are driving this newly acquired search engine traffic that you are receiving. To oversimplify, if you’re selling toothpaste and your recent boost of traffic is from searches on arts and crafts paste, you’re driving more traffic, but it’s not the right traffic.
Investigation Scenario Tip #2: What pages are they landing on?
If you notice that many of the keywords that are sending organic traffic in to your site are in fact relevant to what you are selling, then you must dig deeper into your analytics and see what pages visitors are landing on when they are searching on those keywords or phrases. Let’s use the toothpaste example again; you sell toothpaste and your visitors are searching on Google with the end goal of purchasing toothpaste. You notice that they are landing on the page about how toothpaste is manufactured. A closer look and you notice that the bounce rate is high and reviewing your page there is no obvious way to know that you actually are selling toothpaste on that page.
In this situation you are getting the visitors that you want to sell to (those searching for a product that you do indeed sell), and they are searching for keywords and phrases that are relevant to your business – but you are not giving the visitor what they are looking for or a clear way to get to what they are looking for when they land on your page.
In Closing
If either of these two scenarios is happening to you then you will need to work on the optimization of your pages from both an SEO perspective of getting the right traffic, and getting the right traffic to the right pages and from a conversion perspective of keeping them in the continuity of continuing on for what they came in to potential purchase with the least amount of effort and friction.
Email Marketers: Be Careful What Your Email From Line Says
Posted by: | CommentsToday I received an email from the Web Marketing Association that made me chuckle when it arrived in my inbox and I read what the From Line stated. Slightly immature on my part, but at the same time a good reminder to always review all aspects of your emails. Although this is their proper name and it did get my attention (and as a matter of fact I forwarded the screenshot for others to look at too), Outlook only displayed a portion of the from line for me.
Click on image below to see full size:
I should note that this was in Microsoft Outlook.


