> 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/use-cases/use-case-track-ad-campaign-performance-with-conduit.md).

# Use Case: Track Ad Campaign Performance with Conduit

#### Identifying and Evaluating Low-Performing Campaigns

In this use case, we have a dataset that comprises lists of advertising campaigns and their daily metrics like marketing spend.

 

<figure><img src="https://storage.crisp.chat/users/helpdesk/website/39e5340fb975fe00/unnamed-7_1pw2ji8.png" alt=""><figcaption></figcaption></figure>

Our goal is to identify and track Ad Campaigns with the lowest performance. Let’s have the AI reformat the sheet, to display days, as separate columns:

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

Now, our task is to filter the campaigns with 0 conversions in the three days in a row. Click 'Reply' to refine the dataset from Copilot's response and input this prompt *‘Filter the campaigns that have 0 conversions for not less than 3 days’*

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<figure><img src="/files/KDeeBld1agG1xDAfXAdd" alt=""><figcaption></figcaption></figure>

#### Automation capabilities

Now, we aim to optimize this process, enabling AI to automatically check the dataset of interest and notify us about low-performing campaigns via Slack. To achieve this, we would need to create a new Workflow on the corresponding tab:

${vimeo}Ask AI about a Dataset

1. Drag the 'Ask AI about the dataset' block.
2. Input the name of the dataset of interest from the Copilot tab.
3. Drag the 'Create Report / Aggregate' block and choose the source dataset.
4. Conclude the workflow with either the 'Send CSV to Slack' or 'Send CSV to Email' block.

There you have it – a fully equipped workflow at your fingertips!