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One of the biggest draws to Nanigans technology is the ability to create and manage thousands of ads at a time across many Facebook Ad Accounts — within one interface. However, it is essential that as a marketer, you don’t exceed Facebook’s 10k per Ad Account cap. Why? If you are running an ad campaign and reach your limit, ads you are actively pushing may not be deployed. Monitoring the number of ads you have running in Performance Analysis is as simple as adding the Facebook Ad Account attribute, a filter which includes active and paused ads and the ad count metric.
Running thousands of ads at once can make figuring out why an individual ad or group of ads is not running a little difficult. An individual ad may not be spending for any number of reasons; daily or lifetime spending limits, blackout hours, the optimization engine pausing down based on performance constraints, etc. We make this problem very easy to solve with an attribute set in Ad Engine called Campaign Status. The Master Status row tells you whether an ad is currently spending. The Status Description row explains what is preventing the ad from running. Additional rows like Ad Set and Placement Status allow you to dive deeper into the problem and take action as needed.
Analyzing historical campaign performance is an easy way to identify top performing ads and ensure they are being shared with new target audiences and lookalikes. Performance Analysis enables you to find ads that have historically performed well and verify whether they are still running today by clicking a simple checkbox in the time range dropdown menu. A common use case is to view the audiences that performed best last month and to compare the number of active ads running for that audience. If there are no active ads, you can take action against this insight by reactivating or pushing new ones.
Performance Analysis contains a number of commonly used filters, but one that may be less known is the “Text Contains” filter, which allows Ad Engine users to sort attributes (budget pools, ad plans, strategy groups, etc) based on user-specified naming conventions (ex: “Females,” “2014,” “Boston”).
This sorting tool creates a simple solution to select all values with certain text in the name instead of manually selecting a long list of checkboxes. As a bonus, once you’ve set a “Text Contains” filter, it will capture all future campaigns that match the text applied in the filter automatically.
All four of the tips mentioned above can easily be configured within Performance Analysis and saved for future use. Each one of these features can answer important questions and save you time over the long term, so we strongly recommend saving a shared view that everyone across your organization can access.