Did you recently receive a personalized DTL survey email?
Did you respond to the email? If not, could you do so now?
Did you notice something unique about the email, compared to other DTL emails?
Did that affect your decision to respond?
How important is personalization in mass emails to you?
Do you think that personalization can be scaled to a large number of people?
Do you wish you would have done this for your own DTL form?
Do you think personalizing your emails would have gotten you more responses?
How long do you think it took for sending 1500 personalized emails?
Would you use a service that let you do this easily, free of cost, on your RVCE email ID?
We conducted an experiment with a unique . The control setup was the tens of DTL forms that were being released everyday.
We created a form similar to most other DTL forms - with a fancy idea and AI generated caption. The difference was that we included the name of the recipient in the email, and personally addressed them.
Link to the formSeveral people responded asking how we personally addressed them, as they usually just got cold emails. This was a good sign that our personalization was working.
Goal:
Increase response rates and engagement with the survey.
Thoughts:
"How can I make the survey feel less generic?"
Actions:
Researches ways to personalize mass emails and looks at templates.
Emotions:
Curious, Motivated
Goal:
Create a personalized email format that stands out.
Thoughts:
"What message or tone will get the best response?"
Actions:
Drafts email content, adding elements like names or specific survey details.
Emotions:
Hopeful, Optimistic
Goal:
Send personalized emails to all recipients efficiently.
Thoughts:
"I hope this email catches their attention!"
Actions:
Uses an email automation tool to send the survey to multiple people at once.
Emotions:
Anxious, Excited
Goal:
Encourage higher response rates.
Thoughts:
"Are people actually reading and responding to this email?"
Actions:
Monitors email opens and survey responses.
Emotions:
Nervous, Encouraged
Goal:
Analyze response data and impact of personalization.
Thoughts:
"Did personalization make a difference in engagement?"
Actions:
Reviews feedback and considers improvements for future surveys.
Emotions:
Satisfied, Reflective
DTL surveys are impersonal, they're just mass-generated. Adding personalization to the emails will increase the number of responses. Personalization in mass emails might help us feel valued and heard. HTML interviews look more engaging than plain text ones.
This email felt unique compared to other DTL email. HTML emails are way more visually engaging than plain text ones. Personalized emails could get more responses if they feel relatable. I wish I could have used this in my own DTL form.
Notices personalized elements in the email and feels intrigued. Considers responding to emails. Reflects on how personalization could improve their own survey response rates. Wishes they themself could have used similar personalization.
Appreciates the effort in personalization, feeling respected and valued. Frustrated by the generic, AI-generated tone of usual DTL surveys. Wished they could have used similar personalization in their own survey efforts. Personalization is difficult to scale to a large number of people.