How Product Questions Reveal Purchase Barriers?

Product questions in marketplaces directly reveal the hesitations customers have during their buying journey. Wherever a question arises, a decision barrier exists.

An analysis conducted by Dot Assist on 2025 Trendyol bestsellers uncovers the most critical purchase barriers on a category basis:

This data tells us one thing: Brands that correctly analyze product questions don't just answer them — they increase conversion.

Indecision in the Cosmetics Category: Usage Method (24%)

In cosmetics, the biggest barrier remains usage suitability (32%). However, usage method (24%) follows closely behind.

This indicates that the customer wants to buy the product but doesn't exactly know how to apply it.

• Sample questions:
• "How many times a day should it be used?"
• "Can it be applied under makeup?"
• "Which skin type is it suitable for?"

What should be done?

• Add step-by-step usage guides
• Clearly state which skin type it is suitable for
• List products that should not be used together

Benefit: Trust increases, returns decrease.

The Biggest Barrier in Electronics: Usage Suitability (32%)

In the electronics category, the most frequently asked topic is "Is this product suitable for my needs?" (32%). This is followed by usage method (18%) and performance (15%).

The customer is looking for suitability for their own scenario rather than just technical specifications.

For example:

• "Is this tablet suitable for drawing?"
• "Is this headset fully compatible with iPhone?"

What should be done?

• Add usage scenarios to product descriptions
• Clarify which user type the product is for
• Clearly state performance expectations

Benefit: Fewer questions, faster decisions, higher conversion.

Critical Barriers in Supermarket: Usage Method (32%) and Suitability (30%)

In the supermarket category, usage method (32%) and suitability (30%) are nearly equal. This is especially important for mother-baby and sensitive consumption products.

Example:

• "Can pregnant women use this?"
• "How many times a day should it be consumed?"
• "What is the expiration date?"

This category operates on a trust-based model. Incorrect or incomplete answers lead directly to lost sales.

The Biggest Question in Home Textile: Size (31%)

In home textiles, the purchase barrier is clear: size and fit. Size (31%) and usage suitability (27%) lead the way.

Example:

• "Will this fit a 160x200 bed?"
• "Will it shrink after washing?"

Uncertainty here means a direct return risk.

Solution:

• Provide clear size charts
• Give actual measurements + tolerance info
• Provide post-wash change information

The Key to Sales in Women's Clothing: Size (64%)

In women's clothing, 64% of questions are about size. 45% are about usage suitability, and 20% are specifically about size. This is the clearest barrier within the category.

The customer is asking: "Will this fit me?"

Incorrect size recommendations mean a sale in the short term but a return in the long term.

Correct approach:

• Provide fit information (slim / oversize / regular)
• State fabric elasticity
• Reference model measurements

Critical Factor in Men's Clothing: Size (56%)

A similar picture exists in men's clothing: Size (56%), usage suitability (51%), and size fit (33%).

This means the purchase barrier in the fashion category is largely size uncertainty. A good size description here reduces the number of questions and increases conversion.

What Does This Data Show?

Product questions:

• Are not random.
• Are indicators of pre-purchase hesitation.
• Are barriers that vary by category.

The most critical point is this: Sales increase not just when these questions are answered, but when they are correctly analyzed.

How Analyzing Product Questions Increases Sales?

Dot Assist's analysis panel classifies all incoming questions to the store based on category and topic. This allows brands to:

• See which products cause the most hesitation.
• Notice missing content in specific areas.
• Update product descriptions with data.

Example: Yataş analyzed 11,000+ questions on its bamboo pillow product and clarified hardness levels and washing info. Result: Conversion rate rose to 14%.

How Does Fast Response Impact Conversion?

According to Trendyol data, questions answered within the first 30 minutes convert to sales 8 times more. However, 70% of questions arrive outside of business hours. Maintaining this speed with a manual system is nearly impossible.

How Does Dot Assist Solve This Process?

Dot Assist is an AI customer representative that works integrated with Trendyol and Hepsiburada stores.

• Generates instant responses 24/7.
• Learns the brand voice.
• Provides context-aware answers using product data.
• Analyzes repetitive questions and reports purchase barriers.

Results:

• +0.3 store rating increase (Eczacıbaşı)
• 3x conversion increase (Uni Baby)
• 85% automated response rate