FutureNow_10TipsToOptimize. PPC Ad Split Testing Tool - statistical testing tool for analyzing ad split tests. Two Simple Tests to Try With Google AdWords Campaign Experiments. Andrew Goodman | October 8, 2010 | 0 Comments Issues of test design, keyword auction dynamics, and statistical significance are complex. To help marketers more reliably test key variables in their AdWords accounts, Google has created a killer little feature called AdWords Campaign Experiments . You've no doubt heard of the concept of A/B testing landing pages by evenly rotating them to website visitors.
The same concept, applied to ad copy, is behind the ad rotation feature in major paid search platforms, introduced by Google in February 2002. (Note documentation in today's version of the feature. Ever sticklers for accuracy, Google now promises to rotate ads "more evenly," not entirely "evenly. ") The same principle can now be applied to various elements of your account, like keyword bids, matching options, ad group structure, and the presence or absence of certain keywords.
Although it's bound to be developed further in the future, the Experiments setup already has some flexibility. PPC Ad Split Testing Tool - statistical testing tool for analyzing ad split tests. Ad Rotation Update: A/B Testing In Jeopardy | PPC & AdWords Blog. PPC professionals and advertisers all over the world have been up in arms since Google announced the latest AdWords update. The change, meant to improve the performance of campaigns and prevent advertisers from serving less relevant ads, is putting a limited timeframe on how long one can evenly rotate their ads. Instead of being able to evenly rotate your ads, regardless of performance, for as long as you’d like, Google is capping that period at 30 days.
After the thirty days AdWords will display only the ads expected to generate the most clicks. Each time a new creative (text or otherwise) is enabled or edited, the ads within that ad group will rotate evenly again for a new period of 30 days. You might be thinking, “Why is that so bad, isn’t it a good thing to only serve ads that are getting lots of clicks?” Well, most advertisers are more focused on conversions, and just getting more clicks doesn’t necessarily mean more conversions. Is this the end of the world? Trace Ronning. Easy statistics for AdWords A/B testing, and hamsters by. So you’ve got your AdWords test all set up: Will people go for the headline “Code Review Tools” or “Tools for Code Review?” Gee they’re both so exciting! Who could choose! I know, I know, settle down. This is how these things go. Anyway, the next day you have 32 clicks on variant A (“Code Review Tools”) and 19 clicks on B (“Tools for Code Review”).
Is that conclusive? The answer matters. Normally a formal statistical treatment would be too difficult, but I’m here to rescue you with a statistically sound yet incredibly simple formula that will tell you whether or not your A/B test results really are indicating a difference. I’ll get to it in a minute, but I can’t help but include a more entertaining example than AdWords. In the movie, Hammy chooses the organic produce 8 times and the conventional 4 times. If you’re like me, you probably think “organic” is the clear-cut winner — after all Hammy chose it twice as often as conventional veggies.
Okay okay, we suck at math. Enjoyed this post? A/B Split Testing with AdWords. There has been a lot of talk over the months about split testing ads & landing pages. Google allows this to happen pretty easily as they allow multiple ads to show in one group. This is the setup for a very simple test to start people thinking about how to split test and measure such test results. There are, of course, much more complicated techniques to use. Most webmasters/marketers don’t have incredibly sophisticated tools, so this example is based on a low tech variation that can be run with just an excel spreadsheet. If you think about an ad, you have 4 lines to work with.
(Some consider it 3, depends on how you feel about the AdWords Display URL. Each line is both it’s own entity, and related to the whole ad – all at the same time. Note: This test is for using 3 lines. 1 title, description line 1 & 2. This is assuming we’re only testing ads, and not landing pages. Turn off ‘ad optimization’ in the campaign settings, we want all the ads to receive equal exposure. First, remember: 1. Best A/B Testing Case Studies of 2010. Posted in A/B Split Testing, Case Studies on December 20th, 2010 Boy, what a year 2010 has been for A/B testing industry and Visual Website Optimizer.
We saw tens and hundreds of small/medium sized businesses increase sales and conversions on their websites. Our repository of A/B testing case studies is the proof that A/B testing works! To celebrate the excitement of 2011, I have complied the list of our best A/B testing case studies in 2010 (in order of bestness). Hope they will inspire you to kick-start A/B testing campaign in your organization in 2011. Removing a signup form actually increased signups by 60% Original Landing Page (with embedded signup form) Variation (no signup form): 60% increase in signups! Who would have thought that removing a signup form from signup page can actually increase conversions by 60%?
Two magical words improve conversion rate by 28% Control: 14.5% conversion rate Variation: 28% improvement conversion rate! Human photos double conversion rate Original version. Free Excel Spreadsheet for PPC Text Ad Testing for Statistical Significance | | Chad SummerhillChad Summerhill. Abtesting.