> 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/shopping-campaign-intelligence.md).

# Shopping Campaign Intelligence

Competitive intelligence for Google Shopping campaigns. Analyze pricing strategies, product feed optimization, and competitor ad positions to win more clicks and conversions in Shopping.

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

## Where to find it

* **Web app** — [app.marketingtool.pro/tools/shopping-campaign-intelligence](https://app.marketingtool.pro/tools/shopping-campaign-intelligence)
* **iOS / Android app** — open the **Tools** tab and search “Shopping Campaign Intelligence”

## Inputs

| Input                     | Type                                                                                              | Required |
| ------------------------- | ------------------------------------------------------------------------------------------------- | -------- |
| Shopping Campaign Details | textarea                                                                                          | ✅        |
| Number of Products        | number                                                                                            | optional |
| Intelligence Focus        | select — Competitor Pricing, Feed Optimization, Bid Strategy, Product Segmentation, Full Analysis | optional |
| Target ROAS (%)           | number                                                                                            | optional |

## Result workspace

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

## Tips for best results

* **Segment by Performance** — Group products into heroes, zombies, and villains by ROAS.
* **Optimize Product Titles** — Include brand, product type, and key attributes in titles.
* **Use Supplemental Feeds** — Add custom labels and extra attributes for better targeting.

## How to run it

1. Open **Shopping Campaign Intelligence** (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/shopping-campaign-intelligence.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.