> For the complete documentation index, see [llms.txt](https://paytm-pla-help.onlinesales.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://paytm-pla-help.onlinesales.ai/introduction/what-is-a-campaign.md).

# What is a Campaign?

 A campaign is an **advertising plan** that you can create on your PLA dashboard. You are free to create multiple campaigns for different brands, categories, events or marketing objectives. 

All campaigns on your dashboard are funded by the budget in your PLA wallet. The campaigns help you place product ads on the platform based on your campaign settings. It helps you select which products you want to advertise and for what duration. 

You have to set a maximum daily budget limit for each campaign. This means that the campaign will not spend more than the daily limit amount set on any given day.

You can also set a maximum spend limit for each campaign. The campaign will automatically stop once the maximum spend limit is met.

> NOTE: Creating a campaign does not guarantee that your ad will be placed on the platform. It also does not mean that all the products that you have placed in the campaign will be advertised. The system will select products from your campaign to display as ads and show the products that will give you the maximum return on investment.


---

# 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://paytm-pla-help.onlinesales.ai/introduction/what-is-a-campaign.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.