To ensure that your ads are effective and are contributing to your ROI, you will need to test them regularly and make sure to run only ads that contribute to higher sales or lead generation.
The tool's main purpose is to:
The Optmyzr A/B Testing for Ads tool is very simple and easy to use. By default, ads under each ad group are analyzed and tabulated for easy comparison. This tool compares all ads that have statistically significant data to filter out the underperformers and keep the winners in an ad group. It uses clickthrough rate, conversion rate and conversions per impression data from AdWords to make a recommendation.
Compare ads using click or conversion metrics
Review recommendations based on statistical model
Pause underperforming ads with just one click
Ideal for ad testing and AdWords optimization, the A/B Testing for Ads tool:
Using the Optmyzr A/B Testing for Ads tool helps you speed up ad testing cycles. You can now run more tests for ads in the same amount of time and get to bigger ad improvements more quickly.
Tabulated analysis that simplifies decision making
Tabulated test results that help you compare ads on important click and conversion parameters. It saves you the effort of manually compiling data from each ad, creating a comparison table in a spreadsheet and defining formulae needed.
Data analysis and recommendations on AdWords optimizations (based on statistical significance of ads) are readily available. You can review the optimization recommendations and pause or stop underperforming ads, with just one click, without any delays.
The pause feature in this tool helps you stop ads that are underperforming or eating into your advertising budget. This means that you can now quickly stop wasting money on ads that don't drive conversions. In effect, your AdWords budget can be directed to better performing ads.
Save hours spent on creating and automating your weekly or monthly AdWords optimization. Running this tool for the first time helps you compare ads in a matter of seconds; a task that could take 30 minutes to a couple of hours depending on the amount of data.