> For the complete documentation index, see [llms.txt](https://docs.getconduit.app/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.getconduit.app/workflows/workflows-creating-a-weekly-ad-spend-report.md).

# Workflows – creating a weekly Ad Spend report

Imagine you want to create a weekly report for tracking ad spend for different ad networks, listing them as rows

1. Add a "Pull Data" block, selecting Facebook Ads as the data source and connect it with the Add Column block. Then, apply the breakdown by Ad Network and the Spend (Cost) metric and the value as 'Facebook Ad Spend'. The result should look like this&#x20;

   <figure><img src="/files/eSNSqk7KyIXgqsfoC42P" alt=""><figcaption></figcaption></figure>
2. Then, repeat the same steps for Google Ads&#x20;

   <figure><img src="/files/2HgNqMMMV5dUSElCxSQr" alt=""><figcaption></figcaption></figure>
3. Now, integrate a "Union" block, specifying FB and Google as dataset #1 and dataset #2, respectively&#x20;

   <figure><img src="/files/JOSnIZ0rNqsjVNFnLeim" alt=""><figcaption></figcaption></figure>

We're almost set. Let's run the workflow and view the output

| Ad Network        | Spend     |
| ----------------- | --------- |
| Facebook Ad Spend | 3529.0783 |
| Google Ad Spend   | 2411.43   |


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.getconduit.app/workflows/workflows-creating-a-weekly-ad-spend-report.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
