Best questions for marketplace sellers survey about pricing strategy

Here are some of the best questions for a marketplace sellers survey about pricing strategy, plus tips on how to craft them for deep insights. You can generate a smart, conversational survey with Specific in seconds.

Best open-ended questions for marketplace sellers survey about pricing strategy

Open-ended questions are essential for uncovering context, motivations, and real-life strategies. They’re great if you want to understand not just what marketplace sellers do, but why they do it. Sellers share their decision-making process, which means you’ll get qualitative insights you’d miss with simple polls. Here are the best open-ended questions for your pricing strategy survey:

1. How do you currently set prices for your products on the marketplace?

2. What factors most influence your decision to raise or lower your prices?

3. Describe any challenges you face when adjusting your product prices.

4. Can you share an example of a time when a pricing strategy significantly impacted your sales?

5. What tools or resources (if any) do you use to inform pricing decisions?

6. How do you respond when competitors adjust their prices?

7. What is your approach to introducing new products to the marketplace in terms of pricing?

8. How important is dynamic pricing to your overall business strategy?

9. Have you experimented with psychological pricing (like $9.99) or value-based pricing? What results did you see?

10. In your experience, what are the biggest risks or downsides of adjusting pricing frequently?

Open-ended questions like these give you rich stories and actionable feedback. We’ve seen that value-based pricing, in particular, can attract high-value customers and boost profitability, according to recent data. [3]

Best single-select multiple-choice questions for marketplace sellers survey about pricing strategy

Single-select multiple-choice questions make it easier to quantify findings and quickly spot trends. They’re especially useful when you need to group sellers, benchmark strategies, or start a discussion before digging deeper with follow-ups.

Question: Which pricing strategy do you rely on most often?

• Dynamic pricing (adjusting prices in real time)

• Psychological pricing (e.g., $9.99)

• Value-based pricing (priced on perceived value)

• Competitive pricing (matching or undercutting rivals)

• Penetration pricing (launching low, raising later)

• Other

Question: How do you monitor competitor prices?

• Manual checks

• Automated tools or software

• Not actively monitoring

• Other

Question: How often do you adjust your prices on the marketplace?

• Daily

• Weekly

• Monthly

• Less often

• Other

When to follow up with "why?" If a seller selects “Dynamic pricing,” your next question should be, “Why do you use dynamic pricing?” This helps you reveal if they’re chasing higher profits, matching Amazon (who reportedly saw a 25% profit jump with dynamic pricing [1]), or just following trends. Adding “why” always lets you uncover the story behind the statistic.

When and why to add the "Other" choice? If a seller’s real-world strategy isn’t listed, “Other” with a follow-up (“Can you describe your approach?”) uncovers fresh insights you might miss with fixed choices—the unexpected responses are often the most valuable.

NPS: Is it relevant for a marketplace sellers survey about pricing strategy?

NPS (Net Promoter Score) gauges how likely sellers are to recommend your marketplace or platform. For pricing strategy, NPS can reveal how pricing tools, rules, or platform policies influence satisfaction and loyalty. This is an effective way to benchmark sentiment and identify pain points related to pricing. See how you can set up an NPS survey right away tailored for pricing strategy. If your marketplace is rolling out a new pricing tool or policy, tracking NPS before and after can spotlight impact—firmly tying pricing actions to seller advocacy.

The power of follow-up questions

When you rely only on top-level questions, you risk getting half-truths or answers without substance. That’s why we built Specific to include automated AI follow-up questions—so every reply triggers expert-level probing for richer context. AI follow-ups save you hours of manual email exchanges, clarifying and expanding on incomplete responses in real time.

• Marketplace seller: “I use competitive pricing.”

• AI follow-up: “Can you share how closely you monitor your competitors, and how you decide when to adjust your prices?”

With follow-ups, the conversation feels natural, and you gather the “why” and “how” behind each response. If there’s no follow-up, you’d never know if their competitive pricing is reactive, proactive, or data-driven. This is where platforms like Specific truly shine.

How many followups to ask? Two to three targeted follow-ups usually hit the sweet spot—enough to clarify responses and get real stories, but not so many you annoy sellers. With Specific, you can set the maximum depth and even allow sellers to skip ahead once they’ve said enough. Balance depth with respect for your audience’s time.

This makes it a conversational survey. Follow-up questions break the static form mold. Instead of boxes to tick, it feels like a real conversation between an expert and the seller.

Qualitative analysis, AI summaries, themes. Even with lots of text, you can analyze all responses effortlessly with AI. The AI in Specific summarizes answers instantly, highlights major trends, and finds themes, so you don’t need to wade through walls of text—but the richness is always there if you want to dive in.

Automated follow-up questions are a new paradigm—try out a survey for yourself and see the difference a real, contextual dialogue can make.

How to prompt ChatGPT (or other GPTs) to generate pricing strategy survey questions

Using AI like ChatGPT to draft survey questions is powerful, but better results come from more detailed prompts. Start simple, then iterate:

Ask for a broad set of questions:

Suggest 10 open-ended questions for marketplace sellers survey about pricing strategy.

If you want better context, give the AI more information:

I'm designing a survey for marketplace sellers to understand their pricing strategies—aimed at both new and experienced sellers across multiple platforms. The goal is to learn how they use tools, react to competitors, and what pain points they have. Suggest 10 open-ended questions.

Categorize for structure and focus:

Look at the questions and categorize them. Output categories with the questions under them.

Then double down on key categories that matter most to your goals:

Generate 10 questions for [e.g., Value-based Pricing, Dynamic Pricing, Competitive Monitoring].

The more context you provide, the smarter your AI-generated survey will be.

What is a conversational survey?

A conversational survey doesn’t read like a script or checklist. It adapts, follows up, and encourages sellers to share fuller context—making participation more like a chat, less like an exam. Here’s how conversational, AI-powered survey building (like we do at Specific) changes the game compared to old-school forms:

Why use AI for marketplace sellers surveys? It’s smarter, faster, and leaves space for conversation. Instead of struggling with form builders, you start with a goal and let the AI draft meaningful, targeted questions (see our AI survey generator for marketplace sellers). As an authority, we know that makes feedback more actionable—and actually fun.

Specific offers a best-in-class user experience for conversational surveys—you not only collect feedback, but actually engage your sellers so their answers spark real insights. If you want to see how to set one up, check out this how-to guide on survey creation for pricing research.

See this pricing strategy survey example now

Ready to get deeper insights from your sellers? See how intuitively a conversational survey surfaces what really drives pricing decisions—get started and create your own, in minutes. Experience the power of automated follow-ups and instant analysis for smarter, richer pricing strategy feedback.