Table grouping is a powerful tool that allows you to organize and group data within the tables based on your specific criteria. This feature simplifies analysis and makes it easier to compare data across different campaigns or ad sets.
Why Use Table Grouping?
Table grouping enables you to:
Spot patterns more easily: Group campaigns or ad sets by common themes (e.g., branding vs. performance campaigns, or each stage in the funnel, e.g. Touch/Tell/Sell).
Compare performance across channels: View the aggregated performance of similar campaigns across platforms.
Drill down into details: Use multiple grouping levels to get a granular view of your data.
For example, you can group:
Meta Awareness Campaigns vs. Meta Performance Campaigns
PMax Campaigns vs. Branded Search Campaigns
You can find the table grouping setting here:
Within the table grouping settings, you can determine the depth of your groupings. These levels offer varying degrees of granularity:
Level 1: for channel level grouping, enabling grouping across channels.
For example, search campaigns across Google and Bing.Level 2: operates at campaign level, enabling organization based on overarching advertising strategies.
For example, your Meta top of the funnel vs. Meta bottom of the funnel campaigns.Level 3: functions at ad set level, providing grouping for, for example, creative or audience level.
Avoiding Common Issues with Table Grouping
When grouping campaigns, you may encounter data that appears as "Ungrouped." This typically happens because:
Conflicting Filters Across Levels:
Ensure your grouping filters are consistent and don't conflict between levels.
Example: A campaign containing both [NL] and [BE] might not fit into a single group if your filters use "starts with" instead of "contains."Filter Matching:
Use the right filter logic:Use "Contains" if a campaign has multiple tags; e.g., Meta [NL] and Meta [BE]
Avoid "Starts With" if there could be extra spaces or prefixes.
Solution:
Double-check your filters and adjust them based on the desired grouping logic.
For campaigns appearing in multiple regions, consider excluding specific tags from certain groups to avoid overlap.
Practical Example
Scenario:
You want to group campaigns into two groups:
Group 1: Social-NL
Group 2: Social-BE
Problem:
Some campaigns are tagged with both [NL] and [BE], causing them to appear as "Ungrouped."
Solution:
Adjust your filter settings to "Contains" instead of "Starts With."
Alternatively, create an exclusion rule: campaigns containing both [NL] and [BE] are excluded from both groups.
Tips for Effective Grouping
Test your filters: Check the results after applying each filter to ensure the data is grouped as expected.
Keep it simple: Start with one grouping level and add more complexity as needed.
Communicate with your team: Share your grouping logic to avoid misinterpretations or overlapping filters.
Need Help?
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Email: support@billygrace.com