Compare Paid Campaigns by Social Platform or Audience Gender
Deeper Insights for Paid Campaign-Level Analytics
With Paid Analytics, your teams have complete oversight of all paid activities. Paid Analytics unifies paid data insights from all your ad accounts in one place. It lets you analyze paid efforts on both account and campaign level, provides a clear focus for strategic discussions about ads performance and budget allocations, and allows for quick and professional reporting.
With today’s release, go even more in-depth, when comparing paid campaigns! Three new views allow you to analyze campaign data in detail: Comparison Overview, Social Platform, and Audience Gender.
To compare critical metrics across selected campaigns, click Comparison Overview. Social Platform view will compare your campaigns’ content effectiveness on different platforms. And if you want to get insights into the audience gender for selected campaigns, select Audience Gender. Want to switch between views? No problem! Click on the little arrow next to the current view to see all viewing options. Then, choose the one you want to analyze next.
With just one glance, get full transparency of your paid activities and analyze how your ads budget is allocated across ad accounts and campaigns, and compare how well specific campaigns are performing, in one central place.
Wildcards in Rule-Based Labeling
How to Fill the Blanks and Scale Your Labeling Efforts
Shift your focus from tedious manual work to more productive analysis with automated content labeling. By creating flexible rules and applying them to your chosen profiles, in an instant, all content that fits your rules is automatically labeled.
To expand your labeling efforts, you can now make use of placeholders, also known as wildcards. In a nutshell, wildcards are special characters that can stand in for unknown characters. They allow you to include related variants for a keyword and locate multiple items with similar, but not identical words. There are two different types of wildcards that can be used as a suffix to your keyword:
- ? to replace any single character
- * to replace any number of characters.
Wildcards make it easy to create rule-based labels with various similar keywords – without having to identify all word variants manually. Insert the base of the word you’d like to include, apply one of the wildcards as a suffix and let automation do the rest!
To indicate that you’re using a wildcard, the question mark or asterisk symbol is marked in blue. When using wildcards, the rule always includes the base of the keyword, plus any longer versions – so, a rule with instruct* will include instruct, as well as longer word variants. Please note that you can only use one wildcard per keyword, wildcards can’t be used within sentences, and they only replace numbers and letters, no special characters. Try out wildcards now to scale the setup of your automated labels and analyze more data, even faster.