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Test and compare Amazon A+ content images using PickFu’s A+ Content image set layout option. PickFu will automatically normalize your A+ content images to match Amazon’s display format – stacking wide images vertically with equal-width rendering and white space padding for consistent height. This means you don’t need to manually resize images in tools like Canva before testing.

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Create an A+ content test

  1. In the left sidebar, click New survey
  2. Write your question and select your question type
  3. In the Options tab, select Image Set
  4. Choose A+ Content from the layout dropdown
  5. Add your images by importing via ASIN or uploading manually

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Import A+ content via ASIN

To automatically pull A+ content images from an existing Amazon listing, enter the product’s ASIN in the import field. PickFu will retrieve the listing’s A+ content images in the correct format.

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Upload A+ content manually

If you’re testing new A+ content before publishing or working with images not yet on Amazon, you can upload your images manually. You’ll see recommended dimensions in the survey builder for different types of A+ content:
  • 970 x 300 (basic)
  • 1464 x 600 (premium)
  • 600 x 450 (mobile)

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Frequently asked questions

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How many A+ content images can I test per option?

You can upload up to six A+ content images per option.

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Which question types can I use to test A+ content?

All PickFu question types are supported when testing A+ content except for Click Tests and 5-Second Tests. You can gather audience feedback on one set of A+ content images (Open-Ended, Star Rating, Emoji Reaction, and Screen Recording questions) or ask respondents to vote between multiple A+ content image sets (Head-to-Head, Ranked, Single Select, and Multi Select questions).

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What if I want to test other Amazon listing elements?

For testing main images, titles, and pricing together, use the Amazon listing mockup or SERP mockup features instead. You can also test full Amazon product image stacks (one main image plus several secondary images) with Image Set surveys.
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