Episode #1216
How to Do An Audience Survey To Serve Your Customers Better
November 29, 2019

In episode #1216, we talk about how to do a survey in order to better serve your audience! We use the example of our recent Growth Accelerator event and the survey we did after the fact to gauge what the audience liked the most and their thoughts for improvement. Tune in to hear how you can use a survey to get closer to your people!

TIME-STAMPED SHOW NOTES:

  • [00:25] Today’s topic: How to Do an Audience Survey.
  • [00:31] Experiences at our recent Growth Accelerator event.
  • [01:24] Some of the questions we used in our post-event survey.
  • [02:45] Why certain people do not connect with certain types of content.
  • [03:39] Maximizing what you already have before more growth.
  • [04:30] Using open-ended questions and finding the common threads in answers.
  • [06:40] Allowing space for people to add their own feedback for your benefit.
  • [07:10] That’s it!
  • [07:13] To stay updated with events and learn more about our mastermind, go to the Marketing School site for more information.

Links Mentioned in Today’s Episode:

Leave Some Feedback:

 

  • What should we talk about next? Please let us know in the comments below
  • Did you enjoy this episode? If so, please leave a short review.

 

Connect with Us: 

Discover Latest Episodes

Episode
Most New Hires Are Dead Weight Without These Two Things
January 15, 2026

In this episode, hosts Neil and Eric break down why AI fluency is becoming a non negotiable skill for marketers and operators. They discuss shrinking headcount, rising revenue per employee, the return...

Episode
The P*rnhub Email Recap Marketing Strategy
January 14, 2026

Neil and Eric break down a controversial email marketing stunt inspired by a P hub recap, debating open rates, spam risk, and long-term brand damage. The conversation expands into X versus LinkedIn fo...

Episode
Why People Hate Agencies
January 13, 2026

hosts Neil and Eric break down why product builders get more respect than agencies, how bad agency experiences shape perception, and why products compound better than labor. They unpack AI-first teams...