> ## 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.

# Main image optimization

> Test Amazon main product image variations with real shoppers to find the hero shot that stands out on the search results page and lifts CTR.

Determine the ideal main product image to stand out in Amazon search results.

<Frame caption="A real main image optimization poll — the question and options respondents saw.">
  <img src="https://mintcdn.com/pickfu/nrohUWUaawyBgKuI/images/use-cases/main-image-optimization.png?fit=max&auto=format&n=nrohUWUaawyBgKuI&q=85&s=b641aa08c68e282262d54e853fa30f11" alt="Main image optimization example poll" width="1800" height="835" data-path="images/use-cases/main-image-optimization.png" />
</Frame>

[See the full interactive result →](https://www.pickfu.com/results/iyQEYGyzde-main-image-optimization)

## 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 | Head-to-head                                                                                              |
| Question  | "When shopping on Amazon, which one of these images would you be more likely to click on, and why?"       |
| Options   | 2 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-main-image-optimization?regular=true)
  </Tab>

  <Tab title="AI · MCP">
    ```text theme={null}
    Create a PickFu head-to-head poll titled "Main image optimization".
    Question: "When shopping on Amazon, which one of these images would you be more likely to click on, and why?"
    Setup: Head-To-Head poll. Respondents will see both images in a random order, choose which they would click on, 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 head_to_head --question "When shopping on Amazon, which one of these images would you be more likely to click on, 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":"head_to_head","prompt":"When shopping on Amazon, which one of these images would you be more likely to click on, and why?"}],"sampleSize":50}'
    ```
  </Tab>

  <Tab title="URL parameters">
    ```
    https://app.pickfu.com/ask/survey?q1-type=head_to_head&q1-prompt=When+shopping+on+Amazon%2C+which+one+of+these+images+would+you+be+more+likely+to+click+on%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.