Bonus: I Tested Emailing My List 6x In 2 Days - Did It Increase Sales? Here's The Results
Cubicle to CEO
Ellen Yin
5.0 • 580 Ratings
🗓️ 25 October 2023
⏱️ 19 minutes
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| 0:00.0 | Hey, welcome back to Cuvicle to CEO, the podcast where we ask successful founders, the business |
| 0:11.4 | questions you can't Google. |
| 0:13.2 | I'm your host, Ellen Yin, and if you are tuning into this right now, but you have not yet |
| 0:17.7 | listened to our interview case study with Kirsten Rold Dan |
| 0:21.6 | that dropped on Monday. |
| 0:23.3 | Pause this episode right now. |
| 0:25.0 | Scroll below to the show notes. |
| 0:26.6 | Click on that link and give that a listen first because that kind of sets up the |
| 0:30.6 | entire context for this bonus episode. |
| 0:33.2 | So if you did listen, then you know that during my interview with Kirsten, I, you know, was very |
| 0:39.3 | impressed with her strong conviction that millionaires write emails and how she's not afraid |
| 0:44.9 | to email her list up to 10 times a day. Now, that's much higher of a volume than I have |
| 0:50.3 | ever personally tried with our list. But at the time of the recording, we were right in |
| 0:54.9 | the middle of our launch for Pay to Create. We were enrolling our 10th cohort. And I thought, |
| 1:00.6 | you know what? Why not give this concept a test in real time so that I could report back to you guys |
| 1:07.2 | what it actually looks like to email your list more frequently than you are used to. |
| 1:13.2 | So like I said, I didn't opt for the extreme of 10 emails a day, but I did increase our frequency |
| 1:20.3 | from what would normally be one email a day up to three emails a day during the last 48 hours. |
| 1:30.9 | So our closed cart was, I mean, technically we didn't take down the buy buttons until Monday, but Saturday and Sunday were our last full |
| 1:37.3 | days of the launch. So that was just this past weekend. This is a very recent launch. This was our |
| 1:43.1 | biggest cohort ever. So we enrolled 441 participants |
| 1:48.0 | total, which is more than double what our largest cohort prior to this was. Was this all due to the |
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