Product Image Optimization (QAT)

Introduction

This short guide shows you how to run a Product Image Optimization (QAT) on Aybee to quickly identify the best-performing visuals. You’ll compare image versions head-to-head, gather unbiased feedback, and make confident, data-driven decisions—without marketplace noise.

This guide covers:

Setting up the test and uploading image versions
Choosing the right question(s) to ask
Configuring audience, sample size, and quotas
Previewing, launching, and checking quality
Reading results and next steps

Optimize your product images through direct comparison testing

These Best Practices apply for:

Product Image Optimization
Product Design Optimization
Asset Test → Image

Overview

Product Image Optimization uses Quick Asset Test (QAT) methodology to help you identify the most effective product images through head-to-head comparison. This test eliminates market noise and focuses purely on visual appeal and performance of your image options.

When to Use:

Compare different product images or designs
Test packaging variations
Optimize visual elements for maximum impact
Validate design decisions after strategic choices have been made

Test Method: Quick Asset Test (QAT) - Head-to-Head Comparison

Timeline: 1-3 days

Cost: Starting from 400 Credits (Base Price: 2 Credits + Additional Questions + Targeting)

Step-by-Step Setup Guide

1. Test Settings & Asset Upload

1.1 Select Test Type

Navigate to "Create Project"
Choose "Product Testing" → "Product Design Optimization"
or Choose "Product Marketing" → "Product Image Optimization"
or Choose "Advertising" → "Asset Testing" → “Image”
Click "Create" to proceed

1.2 Upload Your Image Versions

Click "Add a new version" to upload each image variant
Best Practice: Test 2-4 image versions
Image Requirements: High-quality, consistent format and dimensions, similar

Key Considerations:

Ensure all images show the same product from similar angles
Maintain consistent lighting and background when possible
Try to only test one variable at a time (e.g., packaging color OR product angle, not both)

2. Question Configuration

2.1 Choose Your Question to Ask the Participant

You have two options for question selection:

Option A: Pre-Built Questions (Recommended)

Select from dropdown menu of recommended questions
Advantage: Automatically translated to target audience language
Examples:
- "Which of these versions looks most appealing to you, and why?"
- "Which version of the product are you more likely to purchase, and why?"
- "Based on the packaging design, which product would you be more likely to buy, and why?"

Option B: Custom Questions

Type your own question in the text field
Critical Requirement: Must be formulated directly in your target audience's language
No automatic translation - ensure linguistic accuracy for your market

2.2 Question Best Practices

Keep questions clear and specific
Include "and why?" to gather qualitative insights
Focus on the specific attribute you're testing (visual appeal, purchase intent, etc.)
Avoid leading or biased language

3. Form Questions Setup

For detailed launch setup, refer to our New Form Question guide.

3.1 Understanding Form Questions Purpose

Form Questions (Post-Shop Questions) are additional questions asked after participants have seen and compared your image versions. These questions help you gather deeper insights beyond simple preference, providing valuable context for your optimization decisions.

Why Use Form Questions:

Gather specific attribute feedback (ingredients, appeal factors, quality perception)
Validate assumptions about your product positioning

3.2 Question Configuration

Type of Question: Choose the most appropriate type for your research goal (navigate to New Form Question for detailed guidance)
- Single Choice: For preference selection or rating scales
- Multiple Choice: For attribute identification or expectation questions
- Limited Choice: For giving a range, for example. select up to 3 answer options
- Long Text: For detailed qualitative, open feedback
Question Position: Post-Shop (standard)
Show User: Decide what the user will see when answering the question: Just Question, All Creatives, Top 1 Choice (the top one choice of the participant), Specific Version
Randomize: Choose based on question type and research needs

3.3 Form Question Examples

"Which ingredients do you expect in this product?"
"What exactly appeals to you in this product version?"

Long Text Questions (For detailed insights):

"What would make you more likely to purchase this product?"

The recruitment costs are dependent of the test length.

Note that each post shop question cost additionally 0.5 credits per participant.

4. Launch Configuration

For detailed launch setup, refer to our Launch Page guide.

Key considerations for Product Image Optimization:

4.1 Survey Naming

Use clear, descriptive names: "Product Image Test - [Product Name] - [Date]"

4.2 Sample Size

Minimum: 200 participants
Recommended: at least 100 participants per scenario,
Consider increasing for critical business decisions for statistical significance

4.3 Geographic Targeting

Select market country

4.4 Target Audience

Demographics: Age, gender relevant to your product
Shopping Behavior: Online/offline preferences, marketplace usage
Category Relevance: Select appropriate product categories

4.5 Add Quotas

Consider to add gender, age or test device quotas if applicable to your target audience and test preference

5. Preview & Quality Check

5.1 Preview and Preview Journey

Use “Preview” and "Preview Journey" buttons to experience the test as a participant
Verify image quality
Check question clarity and flow

5.2 Quality Checklist

[ ] All images load properly and display clearly
[ ] Questions are grammatically correct and unbiased
[ ] Target audience settings align with business goals
[ ] Sample size is appropriate for decision importance
[ ] Survey name is descriptive and trackable

Support & Resources

Need Help?

Contact Aybee team for complex targeting requirements
Request assistance with question formulation for specific markets
Get guidance on statistical significance and sample size optimization

Related Resources

Remember: Product Image Optimization is most effective when you've already made strategic decisions about your product and need to validate which visual execution performs best. For broader strategic questions about product-market fit, consider Marketplace Simulation tests instead.

Updated on: 14/10/2025

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