Articles on: Marketplace Simulation Tests

Launch Page

Introduction

This document describes the best practices for using the Launch Page on the Aybee testing platform.

The Launch Page is the final step before submitting your survey for review by Aybee and going live.

It includes critical settings that determine your survey's reach, target audience, and cost structure.



Table of Contents

  1. Survey Name Best Practices
  2. Sample Size Configuration
  3. Country Selection
  4. Additional Target Options
  5. Quotas Management
  6. Pricing with Credits
  7. Submit for Review Process



1. Survey Name Best Practices

The survey name helps maintain clarity across projects.


Best Practices:

  • Use clear, recognizable names that make it easier for your team to identify projects
  • Include relevant dates
  • Use descriptive names/terms that indicate the product you are testing
  • Avoid generic names like "Survey 1" or "Test"


Example:

[Test Product Name] [Type of Test] 8/26/25 → clearly indicates the purpose and date.


Survey Configuration Overview

Figure 1: Complete Launch Page showing Survey Name, Sample Size, Country Selection, Target Options, and Pricing.



2. Sample Size Configuration

The sample size directly impacts both statistical reliability and project cost.

The dashboard provides a minimum number for statistical results, but strategic considerations may require adjustments.


Key Considerations:

  • Minimum Requirements: Dashboard sets baseline for statistical significance
  • Strategic Decisions: For critical business decisions, increase participant size beyond minimum
  • Cost Impact: More participants = higher project cost



3. Country Selection

Country selection determines the geographic reach of your survey.


Best Practices:

  • Select the country that aligns with your target market



4. Additional Target Options

The Additional Target Options section enables sophisticated audience segmentation across multiple categories.

Understanding the cost structure and strategic application of these filters is crucial.


Pricing Structure:

  • 1–4 targeted settings: 1 Credit per participant
  • 4+ targeted settings: +0.5 Credits per participant for each additional setting



⚠️ The more you narrow your audience, the harder and expensive the recruitment becomes → therefore the costs rise after more than 4 targeted settings.



Available Categories:

  • Demographics: Age, Gender, Employment status, etc.
  • Shopping Behavior: Online/Offline, Marketplace preferences (e.g., Amazon), Category-specific behavior
  • Interest-Based: Hobbies, Health, Beauty, Pets, Supplements


Search Functionality:

Use the search bar with suggestions like:

“try spending like ‘consistently shops for wet pet food’”


Essential Targeting Strategy (if applicable):

  1. Adjust Gender (if relevant)
  2. Select Marketplace (e.g., Amazon)
  3. Define Shopping Category (e.g., Beauty & Personal Care)
  4. Set Purchasing Behavior (Online / Offline / Both)


Best Practices:

  • Start with the 4 essential settings → keeps cost at 1 Credit per participant
  • Use search function for niche targeting
  • Test broader targeting first before narrowing down


Demographics Target Options

Figure 2: Demographics dialog with targeting options like Gender, Employment Status, Age groups.


Advanced Target Options

Figure 3: Detailed view of Additional Target Options with request field.



5. Quotas Management

Quotas ensure representative samples by controlling demographic composition.


⚠️ Using quotas increases recruitment cost and may extend completion time.


Quota Types:

  • Gender Quotas: None / Census / Custom
  • Age Quotas: None / Census / Custom
  • Device Quotas: Amazon Share / Custom


Best Practices:

  • Use Census quotas for general population studies
  • Align quotas with research objectives


Quotas Example

Figure 5: Specify the demographic quotas.



6. Pricing with Credits

Understanding the credit system is crucial for budget management.


Cost Structure:


Component

Cost

Description

Base Price (Marketplace Simulation)

3 Credits

Fixed project cost

Base Price (QAT/Ads Testing)

2 Credits

Fixed project cost

Basic Targeting

3 Credits

Standard targeting

Advanced Targeting

0.5 Credits

Extra filters

Per Participant

4.5 Credits

Variable cost


Formula:

Total Cost = (Base Price + Targeting Costs) + (Participants × 4.5 Credits)



7. Submit for Review Process

Final step → submit your project for Aybee's quality review.


Best Practices:

  • Double-check all settings
  • Ensure survey name is clear & professional
  • Verify target audience settings



Summary

The Launch Page represents the culmination of your survey setup process. By following these best practices, you can ensure optimal targeting, appropriate sample sizes, and cost-effective project execution. Remember that Aybee's review process is designed to help you achieve the best possible results from your market research investment.






Introduction

This document describes the best practices for creating and managing Form Questions on the Aybee platform. It is intended for all users who set up a test project. The goal is to ensure consistent and high-quality data collection for consumer insights.


After completing the shopping simulation, Aybee asked participants a set of standardized questions about their purchase decision — specifically why they chose to buy the test product or why they decided not to.


These form questions (post-shop) questions were presented immediately after the participant selected a product in the simulation and completed the standard purchase motivation questions.



Table of Contents

  1. General Best Practices
  2. Creating Form Questions
  3. Advanced Features



1. General Best Practices

The following general principles should be considered when creating form questions:

  • Clarity and Simplicity: Formulate questions clearly and understandably. Avoid technical jargon unless it is relevant to the target audience and is explained.
  • Consistency: Use consistent terminology and formatting throughout the survey.
  • Target Audience Orientation: Adapt questions to the knowledge and experience of your target audience.
  • Visual Support: Use the platform's “Show User” feature to contextualize and clarify the questions.
  • Logical Structure: Arrange questions in a logical order to make it easier for participants to get started and answering in a logical flow.



2. Creating Form Questions

The following steps describe the best practices for creating a multiple-choice, single choice, limited choice and long text answers question.


Step 1: Basic Question Setup

  1. Enter Question: Enter the question text in the "Question" field.

Example: "Which characteristics are most important to you in dental care snacks for dogs?"

  1. Select Question Type: Choose the appropriate question type from the "Type of Question" dropdown menu:
  • Multiple Choice
  • Single Choice
  • Limited Choice (→ set up minimum choices and maximum choices)
  • Long Text


Select the Question Type

Figure 1: Selecting the question type, for example "Multiple Choice".



Best Practices by Question Type


Multiple Choice

  • Add at least 6 answers if possible
  • Randomize answers, if it’s not an ordinal scale (without specific sequence)
  • Optional: Use a fallback answer at the end → don’t randomize this answer and select it as exclusive answer


Single Choice

  • Use Likert scale
  • For example: Very good, good, rather good, rather bad, bad, very bad
  • Try to avoid a neutral option if possible
  • Don’t randomize answers


Limited Choice

  • Set appropriate minimum and maximum choice limits
  • Useful to restrict the user further, for example: what are the top 3 most important factors when buying in this category


Long Text

  • Provide clear instructions about expected response



Show User Setting

The "Show User" setting determines what products participants see alongside the question:

  • Whole Category: Next to the question, the user will see all products of the category
  • Just Question: User does not see any product
  • Bought Product: User only sees the product he/she bought
  • Own/Tested Product: User sees only our tested product in the scenario
  • Specific Product: User sees only the specific competitor product you choose


Define what the Participant should see alongside the Question

Figure 2: Setting configuration options of "Show User".



Randomize Answer Options

  1. Choose if you want to randomize the answer options:
  • Randomizes the order of answer options to avoid bias
  • Only use when the answer options are not an ordinal scale (specific sequence, such as: very good, good, bad, very bad)
  • If you have a fallback option, it’s recommended to put it last and select it as not randomized and exclusive answer in multiple choice questions (icon buttons next to the answer option)


Select an Answer as non-randomized and exclusive

Figure 3: Using randomize and exclusive functions for an answer, e.g. for fallback options.



Step 2: Additional Configuration Options

Aybee offers additional configuration options to control the behavior of the question. Here are the recommended settings for questions:


Option

Setting

Description

Dashboard Filter Question

YES

Enables the use of this question as a filter in the dashboard.

Question Position

Post-Shop

Should be selected (standard)



Step 3: Adding and Managing Answer Options

  1. Add Answers: Click "Add Answer" to add a new answer option.
  2. Delete Answers: Use the delete (trash icon) to remove the answer option.
  3. Adjust Order: Use the arrows to the left of the answer options to change the order (if not randomized).


Answer Options

Figure 4: Adding and managing answer options.



3. Advanced Features


Filter Functions

With filter functions, you can determine which participants should see a specific question. Use filters to show questions only to relevant participants. This increases the relevance of the survey and improves data quality.


Best Practices for Using Filters:

  • Scenario-based Filters: Use the "Bought product from scenario" option to filter questions based on participant scenario (e.g., A or B).
  • Product-based Filters: Use the "Bought specific products" option to target questions to participants who have purchased specific products.
  • Question-based Filters: Use the "Participants who answered in a certain way" option to ask follow-up questions based on answers to previous questions.


Filter Functions

Figure 5: Using filter functions to define the target audience for a question.






Updated on: 14/10/2025

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