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Generate a high-quality conversational survey about the mobile shopping experience in seconds with Specific. Browse curated AI survey generators, templates, examples, and blog posts dedicated to mobile shopping experience surveys. All tools on this page are part of Specific.

Why use an AI survey generator for mobile shopping experience?

Manually building surveys takes time and usually results in generic, one-size-fits-all questions. With Specific’s AI survey generator, you get expert-phrased, tailored questions in moments based on your topic—no guesswork required. Conversational AI surveys improve engagement and data quality, making them ideal for gathering feedback on the mobile shopping journey, where user experience and fast feedback loops are essential.

The shift to mobile is massive: 54.5% of U.S. online holiday purchases were completed on smartphones in 2024, up from 51.1% only a year before. [1] And 76% of U.S. adults now shop online using their smartphones, with 91% of 18 to 49-year-olds doing so. [2] Understanding these buyers with focused, real-time feedback is critical.


Manual surveys

AI-generated surveys (Specific)

Speed

Slow (hours or days)

Instant (seconds)

Expertise required

High—need knowledge to phrase, organize, and sequence

Low—AI brings research expertise for you

Depth of Analysis

Static, needs manual effort after collection

Conversational, probes deeper, analyzes automatically

Follow-ups

Not automatic, often forgotten

Automatic, tailored to responses

Why use AI for surveys about mobile shopping experience? The mobile commerce landscape is fast, complex, and ever-evolving. Constant changes in device usage, interface design, and customer expectations mean your survey questions must adapt quickly—and so must the way you collect feedback. Using an AI survey generator ensures your survey is up-to-date, nuanced, and deeply conversational, so you capture actionable data, not just checkbox answers.

Specific offers the best-in-class user experience for conversational surveys, engaging respondents with chat-style interactions and making feedback collection feel natural. You can generate an AI-powered survey about the mobile shopping experience from scratch or start from curated templates. For more survey inspiration, check out audience-specific survey resources.

How to design survey questions that get real answers

Writing effective mobile shopping experience questions is harder than it looks. Specific’s AI acts like a seasoned researcher: it avoids common pitfalls like leading language or ambiguous prompts, and instead crafts questions that yield clear, practical insights.

“Bad” Question

“Good” Question

Why It’s Better

Did you like shopping on our app?

What features made your last shopping experience on our app enjoyable or frustrating?

Invites detailed feedback, not just Yes/No

Was checkout fast?

How easy or difficult was the checkout process on your mobile device? What would you improve?

Asks for specifics, uncovers pain points

Would you use our app again?

What would make you more likely to shop with us again on mobile?

Gathers actionable improvement ideas

With Specific’s AI survey builder, you avoid guesswork. The AI draws from expert-validated templates and writing standards, eliminating bias and vague phrasing. Each question is purpose-built to dig deeper—surfacing pain points like mobile cart abandonment (currently a staggering 85.65% on mobile) [5], or uncovering why users spend on average $79 per mobile order—more than desktop. [10]

For even richer context, Specific automatically generates and asks intelligent follow-up questions (learn more below). Want to improve your own survey questions? Tip: Always aim for open-ended prompts that start with “What,” “How,” or “Why,” and avoid assumptions. If you can, test your draft with a colleague or simulate it in a chat to catch anything confusing. Or, let Specific’s AI do it in real time!

Automatic follow-up questions based on previous reply

Here’s what sets a conversational survey apart: automated follow-up questions driven by respondent replies. Specific’s AI analyzes each answer in real time and asks for clarifications—just like a seasoned interviewer. This isn’t a bolted-on feature; it’s a core part of what makes feedback conversational, not transactional.

  • Follow-ups collect richer context and surface subtle issues—for example, asking “What specifically caused you to abandon your cart?” after an initial mention of “some issues.”

  • Without follow-ups, you risk responses like “It was ok,” with no clarity on what worked or didn’t. You’re left chasing feedback via email, wasting cycles and reducing survey completion.

  • With automated, context-aware follow-ups, survey conversations feel natural—so you discover patterns and root causes you’d otherwise miss.

Curious what automated follow-up questions feel like? Discover how AI-generated follow-ups work in Specific and try generating a survey for yourself. You’ll see how quickly you surface insights about issues like why users abandon carts at a rate of 85.65% on mobile compared to just 73.76% on desktop[5], or which features drive mobile app conversion rates 3–4x higher than mobile websites. [4]

AI survey analysis made effortless

No more copy-pasting data: let AI analyze your survey about mobile shopping experience instantly.

  • AI-powered analysis in Specific delivers instant summaries of every response, distills key trends, and transforms raw data into simple, actionable reports.

  • No tedious work: skip spreadsheets and manual aggregation—automated survey insights reveal what matters most, fast.

  • Chat directly with AI about your results. Instead of static dashboards, ask questions like "Why do users abandon mobile carts?" or "Which features do shoppers mention most?" The AI shows analysis—segment by age, behavior, or device—on demand.

Analyzing survey responses with AI accelerates your ability to improve mobile checkout, boost conversion, or spot issues (like why 70% of mobile searches lead to action within the hour). [7] For a closer look at how this works, visit AI-powered survey response analysis.

Create your survey about mobile shopping experience now

Understand your mobile shoppers in depth, discover why they convert (or drop off), and get actionable feedback—all in minutes with the best conversational AI survey tool. Bring clarity to your next mobile strategy fast!

Try it out

Sources

  1. Reuters. During the 2024 holiday season, U.S. online spending rose by 8.7% to approximately $241.4 billion, with 54.5% of these transactions conducted via smartphones, up from 51.1% in 2023.

  2. WebandCrafts. In 2024, 76% of U.S. adults shopped online using their smartphones, with 91% of individuals aged 18 to 49 doing so.

  3. Zipdo. Mobile devices account for 93% of visits to e-commerce sites, highlighting their dominance in online shopping.

  4. JMango360. Mobile shopping apps have conversion rates 3 to 4 times higher than mobile websites, emphasizing the importance of app optimization.

  5. Amra & Elma. Mobile cart abandonment rates are notably high at 85.65%, compared to 73.76% on desktops, indicating a need for improved mobile checkout experiences.

  6. JMango360. 76% of consumers prefer shopping on mobile devices due to time savings, underscoring the importance of efficient mobile shopping experiences.

  7. JMango360. 70% of mobile searches lead to action within an hour, highlighting the immediacy of mobile shopping decisions.

  8. WiserNotify. Users view 4.2 times more products per session in mobile shopping apps compared to mobile websites, indicating higher engagement levels.

  9. WiserNotify. Mobile apps have an average cart abandonment rate of 20%, significantly lower than the 68% for desktops and 97% for mobile websites, suggesting better retention in apps.

  10. Zipdo. The average order value on mobile commerce is $79, compared to $70 for desktop, indicating higher spending on mobile platforms.

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.