The Paid Performance Report helps you analyze the results of your paid advertising. It only includes connected marketing channels that had spend during the selected period.
In the top bar, you can adjust the report settings by choosing the period, comparison period, goal, attribution model, attribution window, and attribution mode. You can find more information regarding how to use the different attribution windows & modes in this article.
The metrics displayed on the page depend on the goal selected in the top bar. Adjusting the attribution model or window will affect all metrics marked with the “Attribution” label (which are all the metrics with a green Billy Grace logo):
Campaign results
On the overview page of the Paid Performance dashboard, you’ll find a summary of all active campaigns and ad sets across every connected channel, enriched with Billy Grace pixel data. Based on the selected goal, Billy Grace calculates key metrics such as ROAS, CPA, and additional performance indicators according to the chosen attribution model.
Would you to know more about the key-metrics in Billy Grace? Read this article.
Filtered Views
Within Paid Performance you can create Filtered Views. These allow you to apply filters across the entire page, making your analysis much easier. For example, if you want to analyze your campaigns by country, you can simply create a new Filtered View.
Click on the “+ Filtered View” button to add a new filter.
Give your Filtered View a name and adjust the filter settings as you like (in this example: filtering on NL campaigns).
Pro tip: Use emojis to make your Filtered Views easier to distinguish 💪🏻
Once saved, your Filtered View will appear at the top of the page alongside your other saved views, ready for quick selection.
You can activate or deactivate a Filtered View with a single click. Need to adjust something? Just use the edit option. If a view is no longer useful, you can delete it entirely.
Want to learn more? Check out this article for additional details on how to use Filtered Views.
Grouping
In the Paid Performance table, you can create custom subgroups. This allows you to compare different campaign types side by side. For example, analyzing Meta awareness campaigns versus Meta performance campaigns, or P-MAX campaigns versus branded search.
You can find the table grouping setting here:
In the table grouping settings, you can define the depth of your groupings. Each level offers a different degree of granularity:
Level 1 – Groups data at the channel level, allowing you to compare performance across channels. For example, search campaigns across Google and Bing.
Level 2 – Groups data at the campaign level, helping you organize by strategy. For example, Meta top-of-funnel vs. Meta bottom-of-funnel campaigns.
Level 3 – Groups data at the ad set level, enabling comparisons at a more detailed level, such as creative or audience performance.
In the example below, the group will include all campaigns that contain 'TOF' in their naming convention.
You can find more information on Grouping in this article.
Attribution Paths
Attribution Paths shows every click in the customer journey that contributed to a conversion.
You can also filter by a specific channel (such as Meta, for example) to understand the unique role it plays within the journey. This allows you to uncover which touchpoints truly drive impact, helping you optimize your marketing strategy
Frequently asked questions (FAQ)
I see marketing channels, but the ROAS, Conversion value, and other metrics are 0. Why don't I see results?
For campaign performance to show results, you must have the proper UTMs configured in your marketing channels. Read here how to add the right UTMs per channel.
Why don't the Revenue or Conversion value metrics add up to my total revenue?
All metrics with the Attribution label are based on the selected attribution model and window. It could be that revenue generated in a current period is attributed to touchpoints that happened outside the period you are currently viewing. The larger the attribution window, the more the conversions are spread over a larger period.
How does Billy Grace's UMM model include (Meta) post-view conversions?
Our UMM model examines the impact of impressions on initiating sessions through other channels. If an effect is identified, we combine UMM with MTA, redistributing value by also accounting for the impression.
When campaigns (in Meta) have limited click data, this does not affect the impact of impressions. Impressions may still be responsible for clicks originating from other channels.
Can I export Paid performance results?
Yes, you can export all table results by selecting the Export button on top of the Campaign Insights table.
Why am I not seeing the results of Google Ads Demand Gen campaigns?
With product feed
Unfortunately, the Google Ads API doesn't support Demand Gen campaigns with a product feed yet. Which means we can't show the results of these campaigns in Billy Grace. We are looking out for updates on this and when it is available in the API we will add it to the platform.Without product feed
The Demand Gen campaigns, it's possible to show the results in the reports of these campaigns in Billy Grace.