> ## 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.

# Rapid ad feedback

> Run a quick PickFu Rapid test on your video ad to spot weak moments and collect actionable consumer feedback before going live on paid channels.

Improve your video ad before going live with this quick test.

<Frame caption="A real rapid ad feedback poll — the question and options respondents saw.">
  <img src="https://mintcdn.com/pickfu/nrohUWUaawyBgKuI/images/use-cases/rapid-ad-feedback.png?fit=max&auto=format&n=nrohUWUaawyBgKuI&q=85&s=6f4a1c71fbec01b582f02ccef1bfd707" alt="Rapid ad feedback example poll" width="1800" height="1455" data-path="images/use-cases/rapid-ad-feedback.png" />
</Frame>

[See the full interactive result →](https://www.pickfu.com/results/ktABIXPedL)

## The test at a glance

| Setting   | Value                                                                                                     |
| --------- | --------------------------------------------------------------------------------------------------------- |
| Poll type | Star rating                                                                                               |
| Question  | "After watching this ad, how interested are you in the product?"                                          |
| Options   | 1 video                                                                                                   |
| Audience  | 15 respondents                                                                                            |
| 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/rapid-ad-test?regular=true)
  </Tab>

  <Tab title="AI · MCP">
    ```text theme={null}
    Create a PickFu star rating poll titled "Rapid ad feedback".
    Question: "After watching this ad, how interested are you in the product?"
    Setup: Star Rating poll. Respondents will watch your ad, rate it on a scale of 1-5, and tell you why they chose that rating.
    Audience: 15 respondents; 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 star_rating --question "After watching this ad, how interested are you in the product?" --sample-size 15
    ```
  </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":"star_rating","prompt":"After watching this ad, how interested are you in the product?"}],"sampleSize":15}'
    ```
  </Tab>

  <Tab title="URL parameters">
    ```
    https://app.pickfu.com/ask/survey?q1-type=star_rating&q1-prompt=After+watching+this+ad%2C+how+interested+are+you+in+the+product%3F&sample_size=15
    ```
  </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, `15` (default), `100`+ for higher confidence.
* **Country** — add `country=US` (or CA, GB, DE, …) to target a locale.