{"id":4695,"date":"2017-05-11T15:06:55","date_gmt":"2017-05-11T09:36:55","guid":{"rendered":"http:\/\/www.karooya.com\/blog\/?p=4695"},"modified":"2019-05-31T19:33:16","modified_gmt":"2019-05-31T14:03:16","slug":"adwords-script-to-track-performance-of-adwords-experiments","status":"publish","type":"post","link":"https:\/\/www.karooya.com\/blog\/adwords-script-to-track-performance-of-adwords-experiments\/","title":{"rendered":"AdWords Script To Track Performance of AdWords Experiments"},"content":{"rendered":"

AdWords Experiments lets you configure and test changes that can be later\u00a0applied to your original campaign. For a large account with multiple experiments, keeping a track of all experiments and their performance might be a tedious task. We have created a script to consolidate and track the performance of your experiments\u00a0in your account.<\/p>\n

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What are AdWords<\/span> Experiments?<\/h2>\n

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Experiment is the process of testing\u00a0changes to your campaign\u00a0without applying them immediately to your original campaign. You choose how much traffic you wish to split up with your experiment.\u00a0This process lets your original campaign performance stay unaffected while you test the results of the experiment.<\/p>\n

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What does the AdWords<\/span> Experiments Script offer?<\/h2>\n

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If you have multiple experiments running, going to individual experiments to check the\u00a0performance\u00a0can become a tedious task. Our script <\/a>simplifies the task by giving advertisers a report that puts cumulative experiment stats together and shows how the experiment is performing when compared with the original campaign.<\/p>\n

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Here is a snapshot of the report:<\/p>\n\"adwords<\/a>\n

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The data reported is, by default, for Last 7 days. The cumulative performance of experiments across the campaigns is shown at the top. As can be seen, the Change %\u00a0<\/strong>row displays the % of change driven by the experiment for each metric. The performance of your base campaign (original campaign) and trial campaign (experiments) for the defined time period is shown. With this information you can analyze how your experiments are performing vis-a-vis your campaigns.<\/p>\n

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In the above snapshot, clearly the experiments appear to be driving potential conversion volume.<\/p>\n

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Wherever, the performance of the experiment is significantly different for a specific parameters, such as conversions, you can check the experiment’s results in the AdWords UI and see that performance change has achieved statistical significance.<\/p>\n

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Note<\/strong>: Performance of your experiment is comparable only if the traffic is split equally between the original campaign and the trial campaign. If your original campaign outweighs the traffic share or budget share then absolute numbers such as clicks, impressions etc, cannot be compared but only CTR and Conversion Rate. For instance, if you allocate 50% of your traffic share to your experiment then all metrics are comparable. However, if the same is reduced to 30% then the absolute numbers for your original campaign will automatically be higher, so they can’t be compared.<\/p>\n

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You can get the\u00a0AdWords Experiment Performance Script<\/a>\u00a0here.<\/strong><\/h3>\n

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How to use the AdWords<\/span> Experiments Performance Script?<\/h1>\n

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Now that you know what the AdWords<\/span> Experiments Performance\u00a0script can do, let\u2019s talk about the script. For those who want to understand more about this script, here we go. \u00a0Here are the variables that you can change to customize it to your requirement.<\/p>\n