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Welcome to Josh Baker's Practical Advice for Optimizing Your Internet Marketing blog. Here you will find internet marketing optimization and online strategy articles full of tips, tricks, discussions, and thoughts to help you take your marketing and business to the next level of success.

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Back in April I posted my 4 Items for My Google Website Optimizer Wishlist, and the 2nd bullet on my GWO wish list was:

  • Ability to add notes to tests – it would useful to be able to make notes about tests within the test admin itself for each test. Many times we have multiple people looking at a test and I would like to leave comments and get responses within the test, not only for ease but for permanent documentation

Today, Trevor Claiborne of the Google Website Optimizer team posted on the GWO Blog that they have added the ability to add notes to your GWO experiments. I am so very excited as this should really help out with collaboration and to help others who like to look at the current status of tests we have live as even the documentation for past tests. Although I already have a reliable system for test documentation this should help decrease the amount of cross-referencing and multiple email responses to others (I hope!) that now can easily be documented within the test itself.

Thank you Google Website Optimizer team!

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Prevent Duplicate Line Items in Google Analytics Due to Mixed Case URLs with the Force Lowercase Google Analytics Filter

Google Analytics by default captures data just as it appears in a visitors browser. This being so, you can have two or more URLs that are the same but appear as separate entries due to different cases in the URLs, both lowercase and uppercase.

For Example:

  • /coffee/flavorA/index.html
  • /coffee/flavorA/INDEX.HTML

Although both will take you to the same page if you were to put them into your browser, Google Analytics will create separate line entries for each one leaving you to have to merge the two to get to the complete data for that URL. Imagine the pain if you had 100s, 1000s or more pages on your website with multiple line entries for the same URL.

However, Google Analytics allows you to apply a Custom Filter to remedy this problem. You can associate this filter on a profile by profile basis in case you have certain profiles that you do not want this applied to. One thing worth noting is that this won’t “fix” past data already in your reports, but anything going forward it will put into one line entry (either lowercase or uppercase depending on how you setup the Custom Filter.

Here are the easy steps to create the custom filter that will force the Request URI to lowercase or uppercase:

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Categories : Analytics
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Interpreting the Estimated Conversion Rate Range Properly in GWO is of Key Importance!

It’s easy to get initially excited when you see that one of your test panels in Google Website Optimizer has a higher Estimated Conversion Rate than that of your control panel as presented on the Combination Report page. This may even lead to you believe you can end the test (prematurely I may add).

Unfortunately, just looking at the Conversion Rate number given to you by Google in the bold type font isn’t enough, you most certainly need to do a little bit of visualization to really have a better understanding of what is going on and how they are performing against each other.

Whether you are running an A/B test or a multivariate test, this is important to know for either – the number they give you is a conversion RATE RANGE. Many people mistakenly look at just the number given and do not visualize the full conversion range given along with it (done so with simple addition and subtraction of the number given next to the estimated conversion rate after  the plus and minus sign). This range is based on the observed conversion rate of during the experiment thus far. Not factoring this in can lead to many people ending or wanting to end tests before they are truly ready to be ended. For example,

Estimated Conversion Rate

  • Test Panel – 6.0% +/- 1.0%
  • Control Panel – 5.5% +/- 1.0%

Reading and interpreting this correctly would actually tell you that the:

  • Test Panel is converting in the range of 5.0% to 7.0%, and the
  • Control Panel is converting in the range of 4.5% to 6.5%

This being true, their conversion rate ranges are overlapping each other.  Visualizing this information shows you the overlap much more clearly as shown below:
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Jul
21

Online A/B Split Test Calculator

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Are you running an A/B split test for a marketing, email, ppc, or direct mail campaigns and want to know if you have a statistically significant winner to go live with? I recently built a quick and easy online A/B split test calculator at www.SplitTestCalculator.com that will answer this exact question for you.

Please make sure that when you fill out the calculator with your test information that you then click on the calculate results button and look below it in the results section to see if you have a winner or not.

If the A/B calculator says that you have a winner, you can determine the winner very easily by just looking at the conversion rates of  each of the panels and the one with the better conversion rate is your winner. If the A/B split test calculator results declare that you don’t have a winner then you will need to run your test longer, or run a different test.

You can try out my online A/B split test calculator at www.SplitTestCalculator.com .

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Tight PPC Ad Groups A Key Factor in Paid Search Success


When building-out or optimizaing your PPC Ad Groups, whether it is at Google, Yahoo, MSN, or any other PPC engine, one of the unanimous tactics amongst the top PPC professionals is to have what is referred to as “tight” Ad Groups to aid in your paid search success.

An over-simplified understanding of the workings of keywords and ad triggers inside PPC ad groups will help you further understand why it’s important to have a “tight” ad group.  First, your ad group contains keywords that trigger and then displays an associated ad from within that ad group when someone searches on a keyword that you’re bidding on. If they click on the ad, they are then taken to your landing page. Your ad is hopefully highly relevant to the keyword or phrase being searched and thus with your excellent PPC ad copy and high relevancy it entices the search engine user to click on your ad and then ideally they convert on your landing page for whatever you page goal is.

Relevancy

Needless to say, the more relevant your display ad copy is, the higher the chance the user will click on it. If you are searching for Hotels in Connecticut, and an ad for a Hotel in California is displayed, the likelihood of you clicking on that ad would be very slim – it’s not what you are looking for and would be even less appealing especially if the other ads on the page are for in fact Hotels in Connecticut. Another scenario is that your ad is somewhat relevant to the search thus enticing people to click on it, but it doesn’t convert well because the landing page associated with the ad (only 1 landing page per ad unless you are testing the landing page via AB or multivariate) isn’t as relevant for certain keywords and therefore costing you for the unproductive click and therefore driving up your costs.

Tight Ad Groups Explained

So what is meant by a “tight” ad group is to have an ad group that contains only keywords that are extremely similar. This enables you to create display ads that are highly targeted for those keywords which will then be shown when someone does a search and the results are displayed. With extremely similar keywords, and highly relevant ads, you are then able to create a highly relevant landing page to both the keywords and the ads ensuring a much higher rate of conversion success due to relevancy all the way through.

If the ad group is not tight, you will either then have generic display ads that appeal to all of the keywords, or ads that are relevant for only some of the keywords and therefore not highly relevant to the others keywords; and the same goes for the landing page your PPC display ad links too. In each of these situations, the performance will be less than desirable.

Managing Tight Ad Groups

Another benefit of tight ad groups is the ability to more easily determine the success or lack of success of individual keywords because you know that the ads and landing pages are more relevant to all of the keywords in that ad group. Or, if the keywords or phrases are not performing well, you can test the ad copy or landing pages and know that the traffic for those terms are similar in the sense that they are searching out similar terms.

In an ad group that isn’t “tight”, it’s harder to determine if it’s the keywords, the ads, or the landing pages underperforming in the sense that testing any of them may reverse performance of others within that ad group – i.e. changing the ad copy in an ad group where the keywords are extremely similar may result in some of the good performing terms to underperform, while the previously underperforming terms start to perform. In reality, many unwanted situations could occur, whereas this is the simplest problematic scenario easily avoided by keeping your ad groups “tight”.

In Conclusion

Don’t be afraid to create lots of ad groups if needed to keep them highly targeted. Sure it’s easier upfront to set-up only a few ad groups and stuff them with lots of keywords so that you  only have to manage a few ads and a few landing pages. But in the long run, it’s not so easy or beneficial, their overall performance will suffer (or underperform) and your costs could go up (and very likely your conversions will go down). Not to mention that it makes testing your ads, landing pages, etc. much harder and less reliable.

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Categories : Paid Search - PPC
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