Q01
Message
All templates
Mailing List Subscriber Engagement Survey
Finds out whether your email newsletter is earning opens, feels relevant, and is sent at the right cadence — for anyone who owns a mailing list. An AI follow-up interview digs into the real reason behind low relevance or satisfaction scores instead of settling for a number.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
12 questions · ~7 min
Q02
Multiple ChoiceRequired
In the last 30 days, how many of our emails did you open?
- None of them
- One or two
- About half
- Most or all of them
Q03
Opinion ScaleRequired
How relevant is the content in our emails to your interests right now?
Scale: 1 – 5
Min:Not relevant at allMax:Extremely relevant
Q04
Matrix
How useful is each type of content we send?
4 rows × 3 columns
- Product updates (Replace with your own content type)
- Tips and how-tos (Replace with your own content type)
- Promotions and discounts (Replace with your own content type)
- Industry news (Replace with your own content type)
Columns: Not useful · Somewhat useful · Very useful
Q05
Multiple ChoiceRequired
How often would you ideally like to hear from us?
- Daily
- A few times a week
- Once a week
- Every two weeks
- Once a month or less
Q06
Best–Worst Trade-off (MaxDiff)Required
Which of these topics matter most to you in future emails, and which matter least?
- New product announcements (Replace with your own topic)
- How-to guides and tutorials (Replace with your own topic)
- Customer success stories (Replace with your own topic)
- Discounts and special offers (Replace with your own topic)
- Industry trends and news (Replace with your own topic)
- Behind-the-scenes company updates (Replace with your own topic)
- Event and webinar invites (Replace with your own topic)
Pick best & worst per setBest:Most interestingWorst:Least interesting
Q07
Rating ScaleRequired
Overall, how satisfied are you with our emails?
Range: 1 – 5
Min:Very dissatisfiedMax:Very satisfied
Q08
AI Interview
Probe the reasoning behind the respondent's relevance and satisfaction ratings, anchoring on whichever content type they rated least useful in the earlier grid. If they gave a low relevance score, find out what content or topic would make the emails feel worth opening; if they gave a high score, find out which specific email or moment stood out and why. If they mention wanting a different frequency, ask what triggered that preference (too much volume, missed emails, timing).
Q09
Short Text
If you could change one thing about our emails, what would it be?
Q10
Multiple Choice
How long have you been subscribed to our mailing list?
- Less than a month
- 1-6 months
- 6-12 months
- Over a year
- Not sure
- Prefer not to say
Q11
Multiple Choice
Which best describes your relationship to us?
- Current customer
- Past customer
- Prospective customer
- Just interested in the content
- Prefer not to say
Q12
Message
Thank you for the feedback! We use responses like yours to decide what we send, how often, and to whom — nothing here affects whether you stay on the list unless you choose to unsubscribe.
What’s included
AI follow-ups
Adaptive probes on open-ended answers that pull out detail a static form would miss.
Attention checks
Built-in safeguards against rushed answers and low-quality respondents.
AI-drafted copy
Wording, ordering, and branching written by the AI — tuned to your research goal.
Auto report
Themes, quotes, and a plain-English summary write themselves once responses come in.
Why this template
What this template is built to do — we found no directly comparable template from other survey tools to review.
What sets it apart
- Combines closed-ended cadence, relevance, and satisfaction ratings with an AI follow-up interview that automatically probes why a subscriber gave a low relevance or satisfaction score, instead of leaving that reasoning to guesswork
- Includes a matrix question to compare usefulness across content types and a max-diff exercise to rank future topic priorities, giving structured signal beyond a single satisfaction number
- Captures subscriber tenure and relationship type so low scores can be segmented by how long someone has been on the list or how they relate to the brand
- Ends with a short open-text question and a transparent closing message explaining how responses will be used, and every AI prompt used in the interview is disclosed rather than hidden
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.