> ## 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 competitor test

> Run a PickFu poll head-to-head against Amazon competitors to see why shoppers prefer your product or theirs and what to change on your listing.

Learn why buyers prefer your product or the competition's.

<Frame caption="A real amazon competitor test poll — the question and options respondents saw.">
  <img src="https://mintcdn.com/pickfu/nrohUWUaawyBgKuI/images/use-cases/amazon-competitor-test.png?fit=max&auto=format&n=nrohUWUaawyBgKuI&q=85&s=b98db4d6fc53faa3f79f756eddc0fdc6" alt="Amazon competitor test example poll" width="1800" height="835" data-path="images/use-cases/amazon-competitor-test.png" />
</Frame>

[See the full interactive result →](https://www.pickfu.com/results/hWelkOzLHT-amazon-competitor-testing)

## 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 | Ranked                                                                                                    |
| Question  | "When shopping on Amazon, which product would you be more likely to buy, and why?"                        |
| Options   | 2-4 images                                                                                                |
| 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-competitor-test?regular=true)
  </Tab>

  <Tab title="AI · MCP">
    ```text theme={null}
    Create a PickFu ranked poll titled "Amazon competitor test".
    Question: "When shopping on Amazon, which product would you be more likely to buy, and why?"
    Setup: Ranked poll. Respondents will see all images in a random order, rank them in order of preference, and tell you why they made that choice.
    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 ranked --question "When shopping on Amazon, which product would you be more likely to buy, and why?" --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":"ranked","prompt":"When shopping on Amazon, which product would you be more likely to buy, and why?"}],"sampleSize":50}'
    ```
  </Tab>

  <Tab title="URL parameters">
    ```
    https://app.pickfu.com/ask/survey?q1-type=ranked&q1-prompt=When+shopping+on+Amazon%2C+which+product+would+you+be+more+likely+to+buy%2C+and+why%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.

## Ready for the full workflow?

This single test is the on-ramp to the **[amazon main image playbook](/docs/playbooks/amazon-main-image)** — a multi-step loop that iterates and re-validates automatically.