This article will guide you how to create an Ecommerce Shopper survey about Pricing Perception. If you want results fast, you can build a survey with Specific in seconds, no experience required.
Steps to create a survey for Ecommerce Shoppers about pricing perception
If you want to save time, just generate a survey with Specific—it’s that easy. Here’s what the process actually looks like:
Tell what survey you want.
Done.
You don’t even need to read further. AI will create surveys with expert logic—plus, it even asks respondents insightful follow-up questions to pull out valuable context, like a skilled researcher would.
Why this survey matters: understanding your Ecommerce Shopper audience
Running surveys focused on pricing perception is essential in ecommerce because consumer behavior changes quickly—and it all comes down to what your audience values and experiences on your site. If you’re not running these, you’re missing out on direct feedback that shapes decisions about promotions, product placement, and strategic pricing.
93% of online shoppers compare prices before making a purchase decision. [1] This shows that understanding how shoppers perceive your pricing isn’t optional; it’s the core of how people shop today.
If you don’t ask for feedback, you risk missing out on discovering why certain pricing strategies work (or flop) for specific user groups—especially as 44% of shoppers increased spending at discount retailers this year. [2]
By collecting Ecommerce Shopper feedback on pricing perception, you get actionable data—insights that lead to higher conversion rates, better-timed deals, and a competitive edge. The importance of feedback can’t be overstated, especially when nearly 76% of people shop online because they believe it is less expensive. [3]
You won’t know what motivates an abandoned cart, what makes a price feel “fair,” or which deals drive loyalty unless you ask—and analyze—the right questions through smart, conversational surveys.
What makes a good survey on pricing perception?
Effective Ecommerce Shopper surveys on pricing perception use clear, unbiased questions and maintain a tone that feels conversational—like a real chat instead of a form. You want answers that feel real, so shoppers aren’t just clicking the first option or abandoning the page midway.
Here’s a quick look at best vs. worst practices:
Bad Practices | Good Practices |
|---|---|
Leading (“Do you hate our high prices?”) | Neutral (“How do you feel about our prices?”) |
Jargon-filled questions | Simple language, no industry speak |
One-word answer options only | Mix of open-ended and well-defined response choices |
No follow-up or probing | Follow-up for deeper context |
The real test? You want both response quantity and quality to be high. If you’re not getting insightful feedback or enough responses, go back and simplify your language—or let AI do it for you in a conversational way.
Question types and examples for Ecommerce Shopper pricing perception surveys
Great surveys use a mix of question types, each built for specific insights about your audience’s pricing perception. Here’s how to approach it:
Open-ended questions encourage honesty and let respondents voice unique perspectives or explain “why” behind their ratings. Use these when you want to uncover motivations, objections, or shopping stories. For example:
What made you feel our product was priced fairly or unfairly?
Describe a time when you decided not to buy because of the price.
Single-select multiple-choice questions give structure. Use these for quick sentiment checks or preference-gathering, critical for quantifying trends. Example:
How do you usually compare our prices to similar online stores?
Usually lower
About the same
Usually higher
I don’t compare prices
NPS (Net Promoter Score) question is perfect for gauging overall advocacy—are your prices driving recommendation or deterring loyalty? Use it after a purchase or following a pricing change. Generate an NPS survey for ecommerce shoppers about pricing perception instantly with Specific. A typical NPS pricing question:
On a scale from 0 to 10, how likely are you to recommend us to a friend, based on our current pricing?
Followup questions to uncover "the why". Asking a follow-up when a response is unclear or superficial drills deeper—vital for discovering what truly influences an Ecommerce Shopper. A good survey automatically asks, “What made you answer that way?” or “What would make our pricing better fit your needs?”
Why do you feel our prices are too high?
What would make our discounts more appealing?
If you want to dig deeper into the best questions to ask or need more example prompts, see this blog on top pricing perception questions for ecommerce shopper surveys.
What is a conversational survey?
Conversational surveys mimic a natural chat—they ask one question at a time, adapt tone, and follow up just like a real conversation. This turns the survey from an impersonal form into an interactive dialog, instantly increasing completion rates and the depth of insight you collect.
Traditional surveys feel like paperwork and often get abandoned. In contrast, using an AI survey generator means you create conversational surveys that are dynamic: the AI asks smart follow-up questions in real time and adapts to responses, creating a tighter feedback loop. You don’t have to anticipate every “what if”—the AI does it for you.
Manual Surveys | AI-generated Conversational Surveys |
|---|---|
Time-consuming to build and edit | Instant survey creation from natural-language prompts |
Static, fixed questions | Adaptive, personalized questions and follow-ups |
Drains respondent attention | Keeps people engaged, feels like a chat |
Limited analysis options | Automated AI analysis built in |
Why use AI for Ecommerce Shopper surveys? AI handles the heavy lifting: survey creation, expert-level follow-ups, and deep analysis come standard. You’re free from “form builder fatigue.” AI survey examples, like those built in Specific, use best-in-class user experience—respondents feel valued, and you get richer, faster insights. If you want more guidance, check out our article on analyzing responses from ecommerce shopper surveys.
The power of follow-up questions
Most static surveys miss “the why”—but that’s precisely what changes the game. When you use automated follow-ups, you extract true context and sentiment in a way static forms simply can’t. Want the full breakdown? See our guide to automatic AI follow-up questions.
Specific uses AI to ask tailored follow-up questions after each response, just like a smart researcher. This happens in real time, adapting tone and context, revealing what basic forms miss. Automated follow-ups save hours: no extra emails or clarifications needed. It means every respondent has a unique, human-like conversation.
Consider this scenario:
Ecommerce Shopper: “I thought the product was too expensive.”
AI follow-up: “Can you share what made you feel that way? Was it compared to other sites, or did something about our offer seem off?”
How many followups to ask? In our experience, two to three targeted follow-ups are ideal—just enough to clarify and uncover key details, but not overwhelm. With Specific, you can adjust this so the AI moves smoothly to the next question as soon as you’ve collected the insight you want.
This makes it a conversational survey: respondents feel heard, not interrogated or rushed. That’s why followups matter.
AI-powered analysis, text summarization, and insight discovery are straightforward even with lots of open-ended responses. You can easily analyze these with AI—see our how-to on fast response analysis—so you’re never overwhelmed by raw data.
These automated follow-ups are a breakthrough—if you haven’t used them, give it a try by generating a survey and see first-hand how much richer your feedback becomes.
See this pricing perception survey example now
Ready to understand your shoppers’ real perspectives? See the power of AI-driven follow-up, expert-quality questions, and a fully conversational survey—create your own survey and start turning insights into action.