> For the complete documentation index, see [llms.txt](https://docs.marketingtool.pro/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.marketingtool.pro/campaign-optimization-engine.md).

# Campaign Optimization Engine

Comprehensive campaign optimization powered by machine learning. Analyze performance patterns, identify optimization opportunities, and get a ranked list of changes by potential impact.

**Category:** [Google Ads & PPC](/google-ads-and-ppc.md) · **Badge:** Campaign

## Where to find it

* **Web app** — [app.marketingtool.pro/tools/campaign-optimization-engine](https://app.marketingtool.pro/tools/campaign-optimization-engine)
* **iOS / Android app** — open the **Tools** tab and search “Campaign Optimization Engine”

## Inputs

| Input                 | Type                                                                                        | Required |
| --------------------- | ------------------------------------------------------------------------------------------- | -------- |
| Campaign Data         | textarea                                                                                    | ✅        |
| Optimization Goal     | select — Reduce CPA, Increase ROAS, Scale Volume, Improve Quality Scores, Full Optimization | ✅        |
| Implementation Window | select — This Week, This Month, This Quarter                                                | optional |

## Result workspace

Your result page is organized into tabs: **Overview**, **Setup**, **Monitor**, **Optimize**.

## Tips for best results

* **Prioritize by Impact** — Focus on changes that affect the most spend first.
* **Track Before & After** — Document baseline metrics before implementing changes.
* **Implement in Batches** — Make 3-5 changes at a time so you can measure impact.

## How to run it

1. Open **Campaign Optimization Engine** (links above).
2. Fill in the inputs and press **Generate**.
3. Review your full result page — it's saved to your History automatically. On desktop, use **Download All** to save every asset.


---

# 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, and the optional `goal` query parameter:

```
GET https://docs.marketingtool.pro/campaign-optimization-engine.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.