> 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/ad-testing-and-optimization.md).

# Ad Testing & Optimization

Run statistically valid A/B tests on your Google Ads with RSA asset performance tracking, generative AI for ad copy, and multi-metric analysis. Spend less time analyzing and more time optimizing.

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

## Where to find it

* **Web app** — [app.marketingtool.pro/tools/ad-testing](https://app.marketingtool.pro/tools/ad-testing)
* **iOS / Android app** — open the **Tools** tab and search “Ad Testing & Optimization”

## Inputs

| Input              | Type                                                                   | Required |
| ------------------ | ---------------------------------------------------------------------- | -------- |
| Current Ad Copy    | textarea                                                               | ✅        |
| Test Goal          | select — Higher CTR, More Conversions, Lower CPA, Better Quality Score | ✅        |
| Number of Variants | select — 2, 3, 4, 5                                                    | optional |
| Target Audience    | text                                                                   | optional |

## Result workspace

Your result page is organized into tabs: **Overview**, **Variants**, **Results**, **Apply**.

## Tips for best results

* **Test One Element** — Change only one variable at a time for clear, actionable results.
* **Minimum 1000 Impressions** — Wait for statistical significance before declaring a winner.
* **Use Multi-Ad Groups** — Run 3+ ad variants per ad group for faster learning.

## How to run it

1. Open **Ad Testing & Optimization** (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/ad-testing-and-optimization.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.