Survey example: Canceled Subscribers survey about likelihood to return

Create conversational survey example by chatting with AI.

This is an example of an AI survey for canceled subscribers about their likelihood to return—see and try the example.

Getting actionable feedback from canceled subscribers is tough; most surveys are ignored or don’t dig deep enough to explain what will actually win people back.

At Specific, we know every insight matters. That’s why all the tools here—including this survey—are powered by Specific’s expertise in conversational AI surveys.

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

Everyone wants to know why people leave—and more importantly, what might bring them back. But manual surveys either get ignored or produce dry, surface-level data. Crafting a truly engaging AI survey example for canceled subscribers often feels like guesswork, and most tools fall flat when it comes to real conversation.

Conversational surveys flip the script. Instead of a static form, you get a dynamic chat that adapts to what each respondent says. With Specific’s AI survey builder, the process is not just simpler—it’s smarter.

Here’s how AI changes the game:

  • Higher engagement: Instead of boring forms, people chat naturally, which means more thoughtful answers.

  • Faster setup: The AI survey generator crafts smart, targeted questions in seconds—even for niche topics like “likelihood to return” after cancellation.

  • Expert-level conversation: AI can probe, clarify, and dig deeper on the fly, just like a savvy researcher.

Manual Survey Creation

AI-Generated Survey

Time-consuming setup

Fast, expert-built questions

Rigid and generic

Personalized and adaptive

Static forms

Conversational chat experience

Why use AI for canceled subscribers surveys?

AI survey tools aren’t just a convenience—they’re a breakthrough for response rates and insight quality. While traditional online survey completion rates hover between 2% and 30%, depending on design and audience, AI-powered surveys have demonstrated completion rates of 70–80% and significantly lower abandonment ([researchbasics.education.uconn.edu] [1], [superagi.com] [2]). That means more canceled subscribers actually share their real reasons and intentions.

Specific offers a best-in-class user experience for conversational surveys, making feedback collection engaging for both creators and respondents. You don’t have to settle for scattered, incomplete answers—AI helps you get the story behind every churned user.

Want to dig deeper into question strategy? Read our guide on best questions for canceled subscribers surveys about likelihood to return.

Automatic follow-up questions based on previous reply

Most surveys ask a question, get a short answer, and move on. With Specific, the AI listens and immediately asks the next question—or a clarifying follow-up—based on what someone just said. This is a game changer for collecting real stories, not just data points.

Instead of “set and forget,” Specific’s AI-powered follow-ups adapt in real time. For example:

  • Canceled Subscriber: “I might come back if things change.”

  • AI follow-up: “Thanks for sharing—can you tell us a bit more about which changes you’re hoping to see?”

  • Canceled Subscriber: “I found it too expensive.”

  • AI follow-up: “Would a different pricing plan or type of subscription make you reconsider?”

If you skip follow-ups, you’re left guessing what “things change” or “too expensive” actually mean. You risk mistakes—targeting canceled users with the wrong offer, or overlooking a fixable friction point. Automated probing means you get clear, actionable responses every time.

These follow-ups create a true conversation with every respondent. It’s not just a form—it’s a conversational survey. Try creating your own custom AI survey from scratch to witness this in action.

Easy editing, like magic

When you want to tweak a survey—maybe refine a follow-up, add a new question, or adjust the tone—you can do it instantly in Specific’s AI survey editor. Just type your changes in plain language, and the AI does the rest. No wrestling with tedious form builders or logic trees. Plus, you get expert-level phrasing and natural flow—no survey-writing experience needed.

Update entire sections, sharpen wording, or personalize follow-ups in seconds. Edits feel effortless, because the AI is doing all the heavy lifting behind the scenes.

Flexible delivery: landing page or in-product

It should be dead simple to reach your canceled subscribers, whether you’ve parted ways by email or you want to nudge them right inside your app. With Specific, you get the best of both worlds:

  • Sharable landing page surveys: Send a personal link to each canceled subscriber, email a batch, or include the survey in retention campaigns. Great for re-engagement: “We’d love your feedback—can we ask what would make you return?”

  • In-product surveys: If someone revisits your app (even briefly after canceling), show the conversational interview right there for immediate feedback. Perfect for understanding what drove them away or what might bring them back.

For “likelihood to return” surveys, many teams use email or landing page distribution to re-engage canceled users at scale, while in-product delivery is ideal if you still have touchpoints with churned users logging back in.

Instant AI-powered survey analysis

Once responses start rolling in, Specific’s AI survey analysis tools go to work. Instantly, you get:

  • Automatic summaries of every response

  • Detection of key themes and drivers behind cancellations

  • Zero manual spreadsheet work—just actionable insight you can use right away

  • Direct chat with AI about your data—ask specific questions and get clear answers

See our guide on how to analyze canceled subscribers likelihood to return survey responses with AI for a full walkthrough. Learn more about data exploration with automated survey insights.

See this likelihood to return survey example now

Don’t settle for static forms and guesswork—see this conversational AI survey example for canceled subscribers about their likelihood to return, and experience firsthand how Specific uncovers actionable insights in minutes.

Try it out. It's fun!

Sources

  1. University of Connecticut: Research Basics. Survey response rate statistics by survey type.

  2. SuperAGI. AI survey tools vs. traditional methods: efficiency and insight statistics.

  3. SuperAGI. AI in survey tools: adoption projections and trends.

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.