Archive for May, 2009
Google Analytics App for the iPhone – A Quick Review
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The best Google Analytics App available for the iPhone right now is in my opinion without a doubt (and simply named) Analytics App.
Analytics App gives you complete mobile access to your Google Analytics data from your iPhone. Whether you have just one site profile and one Google Analytics (GA) account, or multiple accounts with multiple profiles, this iPhone app is something I believe you will really be happy with.
For the past two months I have been using Analytics App at least a couple times per day, be it to answer questions on the go for others (i.e. HiPPOS) or even just simply playing around with it for fun to satisfy curiosities. It’s intuitively easy to use with virtually no learning curve for the app itself. Basically just click and there’s your data. I wouldn’t use this for actual data analysis (and this in part because of the limitations of the iPhone itself) but it’s extremely handy and fun to be able to have on the go with you.
Before I purchased it though, I thought it might be difficult to view analytics data on the iPhone due to the screen size, but the interface fits the iPhone perfectly and the data surprisingly is extremely easy to view with no straining on the eyes, even the charts it displays are easy to view.
More than 40 Reports Are Available to You
Analytics App has 9 standard Google Analytics Overview Reports:
- Dashboard, Visitors Overview
- Traffic Overview
- Content Overview
- Event Tracking Overview
- E-Commerce Overview
- Site Search Overview
- Goals Overview
- Quick access Dashboard for Today’s data.
Plus, more than 30 detailed reports you can view by drilling down in each of the areas, for example Keywords, Visitor Loyalty, Top Landing Pages, Top Content, Event Actions, and the ability to view your Custom Reports that have already set up inside your Google Analytics account.
Unfortunately, and unless I am missing something, you can’t click on individual referring sites themselves to view them in the iPhone browser. And, URL’s are limited to 22 characters so in the Top Content Reports you’re not able see the entire URLS or click on them either, so if your URL’s are long and non-intuitive before the 22 characters are used up you may not be able to know which URL is being referred to (but you can always use the Content by Title report).
Viewing Multiple Accounts
I should note, that to view multiple accounts with Analytics App you’ll need to give access for one account to view the others – but this has to be done on GA website itself, or you do it the old fashioned way by logging-out and then log back in on the app for each account itself if you want to view different accounts (I want to emphasize this is for accounts, not profiles as all profiles under your account are visible and selectable when you launch the app).
Misc.
Security: Analytics App stores your GA username and password information locally on your iPhone for security reasons.
Date Ranges: I found that setting the dates to view your data for is actually easier than in Google Analytics using the standard iPhone scroll wheel (and setting it in GA is easy).
Cost
What impressed me the most before I purchased it was that not that it was only $5.99, or that its reviews were overall rather fantastic, but that they offered a money back guarantee via PayPal so I felt that the risk was minimal. I’ve purchased many apps that have left me disappointed, so this was a motivating factor to purchase it on the spot without further consideration.
In Conclusion
So with nothing to lose (your money that is), I would definitely recommend checking the Analytics App out, or if you know someone who already has it to try theirs out – you’ll be glad you did, the app itself is really well produced.
Properly Setting Up Excluded Placements Inside Google AdWords
Posted by: | CommentsDo you advertise with Google AdWords? Do you have your Google Adwords paid search ads show up on their Content Network? Not sure what that exactly means?
Google allows you to not only display your ads in Google’s search results pages when someone performs a search on Google, but also on sites that use their Google AdSense program to automatically display paid search ads that are relevant to their website copy – although many times it’s not always relevant – but which makes this post relevant to you!
You can set up lists of sites or domains that you do not want your Google AdWords ads to show up on via the Excluded Placements section (found in the Networks tab of the new Google Adwords interface). By viewing the detailed stats of your ads on these sites, assuming you have your conversion tagging set up to show AdWords conversions correctly (surprisingly many put it on the wrong page) you can determine if your ads that are appearing on specific sites on the content network are profitable or not for you.
If not set-up properly though, you may be surprised to find out that your ads are still appearing on sites that you thought you had banned through the Excluded Placements section in the AdWords interface.
According to ROI Revolution’s Make Sure Your Excluded Placements Are Actually Being Excluded post, there is a easy fix in the Excluded Placements section to make sure you are correctly banning an entire site from having your ad appear on it.
Unless you specifically want to ban just a certain subdomain such as www.about.com, or marketing.about.com, but want your ads to appear on other subdomains of their website, you need to enter in just about.com. Entering in the root domain (about.com) without the third level (www, marketing, etc.)you will be successfully banning the entire domain not just that specific third level entered.
For more detailed information, you can view Google AdWords help section on setting up Excluded Placements.
When is Testing for Conversion Optimization not the Right Thing to Do?
Posted by: | CommentsThere are just certain times when running a multivariate test to optimize web page conversions will produce unreliable results. Results that either will not yield statistically significant outcomes, or outcomes that even though the numbers may show statistical significance at the end of your test, would not be reliable enough to roll-out and see the nearly the same results much longer than after that particular testing period ends. Remember you are looking to take one step forward and improve your web pages conversion, and not two steps back rolling-out a page that ultimately performs worse than your control; which is quite possible if you are not mindful of certain instances.
Such instances include:
Seasonal traffic – Testing pages during specific high seasonal times for your business although may produce statistically significant outcomes by looking at the numbers themselves; the changes made based on the test outcomes would not be reliable after the seasonal traffic ends. The user intent during these times in most cases is not typical user intent or behavior displayed during the non-seasonal times, and in some cases also between seasonal times.
Traffic sources that fluctuate in delivery volume -If viewed at in a line chart would show high peaks and or low valleys (or may even show times of nonexistence traffic). This traffic volume is too unstable and therefore an unreliable indicator of ongoing performance. A specific instance would be running a multivariate test on a landing page that the traffic delivered to the test is from various different email campaigns. Also be careful of a test that suddenly receives a spike in traffic due to a current event for example that would send a large volume of traffic of non-typical visitors into your test.
Low traffic volumes – if your page does not receive enough consistent traffic of a certain volume than the likelihood of high confidence statistically significant results is slim-to-none in most cases. You need to have enough traffic to produce enough conversions (a conversion being anything you deem to be one, from a registration, to even a download) that your results will be accurate. Many conversion optimization experts say at least 10 conversions per day is the absolute minimum needed to run a test.
And if you’re A/B testing:
When you can’t run your control in unison with your test panels – without simultaneously running your control panel along with your test panels you will not be able to accurately assess the results of your test. You need to be able to assess how each of your panels or page combinations, both control and test panels, perform under the identical conditions and time period. The only way to accurately do so is to have them run simultaneously with your traffic randomly split amongst them.
