> ## Documentation Index
> Fetch the complete documentation index at: https://www.pickfu.com/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Amazon listing review

> Show your Amazon product detail page to real shoppers and surface points of confusion, missing information, and where the listing can be improved.

Discover points of confusion and where your store page can be improved.

<Frame caption="A real amazon listing review poll — the question and options respondents saw.">
  <img src="https://mintcdn.com/pickfu/nrohUWUaawyBgKuI/images/use-cases/amazon-listing-review.png?fit=max&auto=format&n=nrohUWUaawyBgKuI&q=85&s=fb9caaf4d141168efa627da1010a41ba" alt="Amazon listing review example poll" width="1800" height="646" data-path="images/use-cases/amazon-listing-review.png" />
</Frame>

[See the full interactive result →](https://www.pickfu.com/results/hnV0Id3maN-amazon-page-review)

## When to use

Built for Amazon sellers. Reach for it when your options are ready and you want a fast, real-audience read before you commit.

## The test at a glance

| Setting   | Value                                                                                                     |
| --------- | --------------------------------------------------------------------------------------------------------- |
| Poll type | Open-ended                                                                                                |
| Question  | "Please visit this Amazon listing. What questions do you have after viewing this listing?"                |
| Options   | 1 website                                                                                                 |
| Audience  | 50 Amazon Prime subscribers                                                                               |
| Reporting | Gender identity, Age range, Online shopping marketplaces, Homeownership, Pet owner, Hobbies and interests |

## Run it

<Tabs>
  <Tab title="One-click">
    [Use this template →](https://app.pickfu.com/ask/template/amazon-page-review?regular=true)
  </Tab>

  <Tab title="AI · MCP">
    ```text theme={null}
    Create a PickFu open-ended poll titled "Amazon listing review".
    Question: "Please visit this Amazon listing. What questions do you have after viewing this listing?"
    Setup: Open-Ended poll. Respondents will see your Amazon page and leave a comment highlighting any remaining questions they have.
    Audience: 50 respondents, targeting Amazon Prime member - Yes, Custom trait; report by Gender identity, Age range, Online shopping marketplaces.
    Publish it, then summarize the result when responses arrive.
    Tools: save_survey, publish_survey, get_survey_responses.
    ```
  </Tab>

  <Tab title="CLI">
    ```bash theme={null}
    # Create + publish with the PickFu CLI — see /integrations/cli
    pickfu survey create --type open_ended --question "Please visit this Amazon listing. What questions do you have after viewing this listing?" --sample-size 50
    ```
  </Tab>

  <Tab title="API">
    ```bash theme={null}
    # POST /v1/surveys — see /api-reference/surveys
    curl -X POST https://api.pickfu.com/v1/surveys \
      -H "Authorization: Bearer $PICKFU_API_KEY" -H "Content-Type: application/json" \
      -d '{"questions":[{"type":"open_ended","prompt":"Please visit this Amazon listing. What questions do you have after viewing this listing?"}],"sampleSize":50}'
    ```
  </Tab>

  <Tab title="URL parameters">
    ```
    https://app.pickfu.com/ask/survey?q1-type=open_ended&q1-prompt=Please+visit+this+Amazon+listing.+What+questions+do+you+have+after+viewing+this+listing%3F&sample_size=50
    ```
  </Tab>
</Tabs>

## Customize

* **Audience** — swap or add [targeting traits](/docs/guides/url-parameters#targeting-and-settings) (e.g. `amznpr` for Amazon Prime shoppers).
* **Sample size** — `15` for a fast read, `50` (default), `100`+ for higher confidence.
* **Country** — add `country=US` (or CA, GB, DE, …) to target a locale.