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How to create ecommerce shopper survey about cart abandonment reasons

Adam Sabla - Image Avatar

Adam Sabla

·

Aug 28, 2025

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This article will guide you step-by-step on how to create an Ecommerce Shopper survey about Cart Abandonment Reasons. With Specific, you can build an effective, AI-powered survey in seconds—just generate your survey and start collecting insights right away.

Steps to create a survey for Ecommerce Shoppers about Cart Abandonment Reasons

If you want to save time, just click this link to generate a survey with Specific. You can create smart, conversational Ecommerce Shopper surveys in seconds with AI-driven tools, such as the AI survey generator.

  1. Tell what survey you want.

  2. Done.

Honestly, you don’t even need to read further—AI handles the hard parts, generating your survey with proven expertise. The best part? It will ask targeted follow-up questions, so respondents’ answers turn into real insights, not just data points.

Why surveys on cart abandonment matter for ecommerce

Running a survey specifically for Cart Abandonment Reasons is about more than just collecting responses—it's about understanding the silent majority of shoppers who leave their carts behind. Without these insights, you’re basically flying blind on one of the most expensive problems in ecommerce. If you’re not running surveys on this topic, you’re missing out on key growth levers and revenue recovery opportunities, as well as a chance to turn lost sales into retention wins.

  • Every abandoned cart is a missed revenue opportunity. So, knowing why shoppers abandon carts lets us take action—whether that's improving the checkout process, fixing technical hiccups, or clarifying shipping costs.

  • Genuine feedback closes the gap between what we think the problem is and what’s actually happening in the customer’s head.

  • The importance of an Ecommerce Shopper recognition survey goes beyond problem-finding—it's key to optimizing every stage of the user journey and building trust.

Benefits of Ecommerce Shopper feedback are obvious: we spot trends early, connect with authentic shopper motivations, and can prevent the same mistakes from happening repeatedly. The risk of not running these surveys? We keep guessing, and our fixes miss the mark.

What makes a good survey on cart abandonment reasons?

Now, not all surveys are created equal. What actually makes a survey “good” when it comes to Ecommerce Shoppers and Cart Abandonment Reasons? Here’s what we’ve learned works best:

  • Clear, unbiased questions. Avoid anything that leads or pressures the respondent—it should feel like a chat, not an interrogation.

  • Conversational tone. Respondents need to feel relaxed to give honest, nuanced feedback. Make it sound natural, as if a smart friend was asking.

  • Relevant follow-ups. A one-size-fits-all question list isn’t enough. Smart, contextual probing (powered by AI) is what surfaces the root causes.

Bad practices

Good practices

Biased phrasing (“Why didn’t you like our store?”)

Neutral, open phrasing (“What influenced your decision to leave items in your cart?”)

Too many required fields

Short, conversational flow

No room for detail

Open ends and smart follow-ups

Ultimately, the mark of a strong survey is both quantity and quality of responses. High-quality insights come from lots of honest answers—and that only happens when a survey is easy and enjoyable to fill out.

Best question types for Ecommerce Shopper survey about cart abandonment reasons

You don’t need to stick with boring, rigid forms. The best Cart Abandonment Reasons surveys blend different question types so they’re easy to answer, yet deep enough to uncover real motivations. Let’s break down the core question types:

Open-ended questions unlock nuance and context. Use them when you want genuine stories and details that you’d never anticipate—great for first-time research, or after a big design change. Examples:

  • “Can you describe what made you decide not to complete your purchase today?”

  • “What could have changed your mind about buying?”

Single-select multiple-choice questions keep responses structured and easy to compare, while still covering common scenarios. They’re best for quick analysis and benchmarking across all respondents. Example:

“What was the main reason you abandoned your cart?”

  • Unexpected extra costs (like shipping or taxes)

  • Required account creation

  • Complicated checkout process

  • Payment method not available

NPS (Net Promoter Score) question is a classic for benchmarking, but also powerful if paired with smart follow-ups. Use an NPS survey tailored to ecommerce shoppers and abandonment issues to quickly gauge loyalty and friction. For example:

“On a scale from 0-10, how likely are you to recommend our store to a friend after your recent shopping experience?”

Followup questions to uncover "the why". We use these after initial answers—either to clarify vague responses or to dig deeper into surprising insights. It’s especially powerful if someone selects “other” or gives a short answer—follow up and ask for the specifics. For example:

  • “You mentioned payment wasn’t available—can you share which payment method you looked for?”

  • “You said shipping costs were too high. What would have made the fees acceptable for you?”

Want more inspiration and tips? Check out this resource: best questions for Ecommerce Shopper survey about Cart Abandonment Reasons. It’s packed with tailored question examples and expert strategies.

What is a conversational survey?

A conversational survey feels and flows like a real chat—not a questionnaire. Instead of clicking through endless static forms, respondents get relatable, dynamic prompts and real-time feedback. It’s like talking to an attentive interviewer, not filling out a bureaucratic form.

Traditional surveys are clunky and impersonal: you build, send, and hope people slog through the static questions. But with AI-powered survey generation—like what you’ll find at Specific—the survey adapts to each user's answers, asking follow-ups on the fly. This means more honest feedback, less drop-off, and richer responses all around.

Manual surveys

AI-generated surveys

Static, same for everyone

Adapts to each respondent

Time-consuming to build

Ready in seconds

No real follow-ups

Real-time probing questions

Feels like a form

Feels like a conversation

Why use AI for Ecommerce Shopper surveys? With an AI survey example, you free up hours spent designing—and get higher completion rates. AI survey builders like Specific surface deeper insights, thanks to dynamic follow-up questions and natural conversation flow. Plus, Specific delivers a best-in-class user experience for conversational surveys so feedback feels effortless and enjoyable for both survey creators and shoppers.

If you’re curious about building one from scratch, see our practical guide on how to create a survey that captures insights that matter.

The power of follow-up questions

What truly separates a simple survey from a smart one is the follow-up—and that’s where Specific’s automatic AI followup questions feature shines. A traditional static survey leaves you with vague, sometimes useless responses. Automated, context-aware followups dig up the details that matter, instantly, in a way that feels like a real conversation.

  • Ecommerce Shopper: “Just didn’t feel right.”

  • AI follow-up: “Was there a specific part of the checkout process that was confusing or frustrating for you?”

How many followups to ask? In practice, 2–3 followups are enough to clarify and deepen responses. And you should always offer a setting so respondents can skip if they’ve already shared what you need. Specific gives you simple controls for this, maximizing both insight and user goodwill.

This makes it a conversational survey: Followups transform static Q&A into a dynamic, engaging chat—bridging the gap between “form filler” and genuine dialogue.

Survey response analysis, text AI insight: Even with lots of open answers, AI tools from Specific make analysis painless. If you’re wondering how to handle all that qualitative data, see our guide on analyzing survey responses with AI.

These smart, automated followup questions are a big leap forward. Try generating a survey and see the difference firsthand—your future self (and your data) will thank you.

See this Cart Abandonment Reasons survey example now

Ready to transform the way you learn from shoppers? Make your next survey conversational, fast—and get meaningful insights that drive revenue recovery and happier customers. Create your own survey in seconds with AI and experience a smarter way to work.

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Sources


Adam Sabla - Image Avatar

Adam Sabla

Adam Sabla is an entrepreneur with experience building startups that serve over 1M customers, including Disney, Netflix, and BBC, with a strong passion for automation.

Adam Sabla

Adam Sabla is an entrepreneur with experience building startups that serve over 1M customers, including Disney, Netflix, and BBC, with a strong passion for automation.

Adam Sabla

Adam Sabla is an entrepreneur with experience building startups that serve over 1M customers, including Disney, Netflix, and BBC, with a strong passion for automation.