Survey example: Canceled Subscribers survey about pricing and value perception

This is an example of an AI-powered conversational survey for canceled subscribers focused on pricing and value perception—grab the chance to see and try the example now.

Creating effective canceled subscribers pricing and value perception surveys is notoriously tough: getting honest answers, context, and reliable insights is a struggle when responses are vague or completion rates are low.

At Specific, we know these pain points inside-out. All tools and templates here are powered by Specific’s trusted platform, recognized for helping teams design conversational surveys and extract actionable insights with ease.

What is a conversational survey and why AI makes it better for canceled subscribers

If you’ve tried running pricing and value perception surveys with canceled subscribers, you already know the main challenge: people skip questions, abandon midway, or give non-specific answers. Traditional survey forms rarely feel engaging—and you’re left chasing half-baked data.

This is where an AI survey example stands apart. Conversational surveys operate more like smart chat interactions than fill-in-the-blank forms. Why does this matter? According to worldmetrics.org, conversational surveys drive 40% higher completion rates than standard survey formats [2]. That’s a huge win, especially for churned customers who may already feel disengaged.

AI takes things further. Instead of static questions, Specific’s AI survey generator adapts questions based on every answer—making the process personal and responsive. This not only keeps people talking, but also digs out more specific, actionable insights compared to static forms.

Why use AI for canceled subscribers surveys?

Most churned users won’t invest time in lengthy forms, but they will share honest feedback in a friendly, chat-based experience—especially when the questions actually respond to what they’ve said. By leveraging Specific's conversational survey technology, you make respondents feel heard. Plus, AI-driven tools are proven to improve response quality [3].

Specific’s conversational survey builder is unmatched for user experience. Everything’s mobile-friendly and the interaction flow keeps both survey creators and former subscribers engaged, making feedback loops smoother on both sides. If you want a deeper dive into crafting questions, check out our guide on the best questions for pricing and value perception surveys with canceled subscribers.

Automatic follow-up questions based on previous reply

The real magic behind a conversational AI survey example? Follow-ups. Specific’s AI isn’t just asking your baseline questions—it listens like a good researcher, then asks relevant follow-ups, instantly. This saves you the headache of chasing context by email, and ensures every conversation leads to richer, actionable responses. AI-driven conversation feels natural and lets you skip the awkward, “Can you clarify?” back-and-forth after the fact [3].

Let’s look at what happens without smart follow-ups:

• Canceled subscriber: “It just got too expensive.”

• AI follow-up: “Can you share what price point would have felt more reasonable, or which features made the subscription feel too costly?”

Without follow-up, you’re left guessing what “too expensive” means. With AI, you get precise and actionable feedback instantly. Want more examples or want to see it for yourself? Try generating your own survey with our automatic follow-up questions in minutes.

Follow-up questions make surveys a real conversation—not a rigid checklist—which is exactly what keeps canceled subscribers talking.

Easy editing, like magic

Editing survey questions used to eat up hours—rewriting, copy-pasting, wrestling with clunky interfaces. Specific’s AI survey editor flips the script. You just tell the AI (in plain chat) what you want to change: “Make this question more friendly,” or, “Add a follow-up about perceived value.” In seconds, it’s done—without breaking your survey’s expert logic or tone.

No manual formatting, no starting from scratch. The AI handles everything, so evolving your survey as you learn is finally frictionless.

Deliver your survey—landing page or in-product widget

How you deliver a pricing and value perception survey to canceled subscribers is as crucial as what you ask. Specific offers two seamless distribution methods—each with distinct strengths for reaching former customers:

• Sharable landing page surveys: Instantly generate a link to your conversational survey and share it via email, SMS, or support chats. Perfect for churn follow-ups—reach subscribers who no longer use your app, or send custom links as part of win-back campaigns.

• In-product surveys: If you want to catch canceling users at the moment of churn (say, during the account deletion flow), you can integrate the survey directly in your web or SaaS app as a chat widget. Engages users with a conversational prompt without disrupting the flow.

For canceled subscribers and pricing/value perception, landing page delivery is often more practical—contacts have left your product, so direct links mean you never miss out on getting back in touch.

Instant AI-powered analysis of responses

Once you have responses, the last thing you want is to slog through spreadsheets. Specific’s AI survey analysis instantly summarizes every answer, highlights common themes, and pinpoints areas where your pricing or value proposition isn’t landing. You get automated survey insights—no manual data crunching required. Plus, with features like topic detection and the ability to chat with AI about your survey results, you’ll always know what matters most. See how it works in our guide on how to analyze canceled subscriber pricing and value perception survey responses with AI.

See this pricing and value perception survey example now

Jump into this real AI survey example today—see exactly how dynamic follow-ups, seamless editing, and instant insight extraction work. You’ll experience first-hand what sets Specific apart for conversational feedback and actionable survey data.