How would you go about conducting an email experiment?

[Champion]

Consider this: Your manager asks you to improve the click-through rate of your monthly newsletter. How would you go about conducting an experiment? What would you be looking to improve (and why)?

*To learn more about this, check out the Testing Your Marketing Emails lesson via HubSpot Academy. 

[EGitome]

The A/B testing on, subject lines, CTA's even designs e.t.c. This will enable you to analyze who is clicking on your emails, who's clicking on the links or even conversion rates. It will help you improve where there's a problem.

[StephanieMhango]

By running different A/B Tests on the email copy and the CTA. This will help us evaluate factors that can lead to click through rate increase. If the copy is horrible, people won't get to the CTA, if the CTA is not clear then people won't click through

[GWilliams11]

Since the problem is on the click through rate of the newsletter, I will use the A/B testing method. And I will  go further to improve on key elements such as email images, email design, email copy and email call to action (CTA)

[Mirkashif]

We should do AB testing

[Steph_HIKMKT]

To ensure the success of my email campaign, I follow a thorough review process. Before sending it out, I share the draft with my team for initial feedback and revisions. Once all team members approve the content, I proceed with the A/B testing strategy to determine which elements of the email are most effective. By testing different variations of the email, I can gather data on what works best and make informed decisions for future campaigns. This approach allows me to optimize my email content and increase the likelihood of success.

[oneeb_alvi]

Through A/B Testing

[BlessedAF]

i will conduct the experiment using A/B testing. Since the goal is to improve the click-through rate i would look to improve/ test elements like the Email body copy, Email body design, Email body images, Email CTA, Email signature e.t.c. 

[MOladunjoye]

Since it's a problem with the click-through rate, areas I will be looking to improve on would be the:

1) Email copy

2) Email design

3) Email images

4) CTA

The experiment will start with me knowing the goal, which is to increase the click through rate.

Then I will look into the segment who will be receiving the testing emails, if I have under 1000 list, then I will need to go for a 50/50 testing method. If it's 1000 list or more, then I can make use of software to evaluate my segment of recipents.

After that, I can design my emails, using A/B test strategy...

Then, review it and start the test. 

[JAyandokun]

I think the A/B test is the best 

[DubemEric]

There is only one way to conduct an email experiment, by the foolproof A/B test strategy

Define the goal of my test
Evaluating my segment of recipients
Design the test
Review and start my test

[Ibukun]

I will consider using the A/B test model and know which one fits in and works fine 

[Kartikt11]

I would probably go for A and B technique to analyze my open rate.

[AMoraes]

For conducting a test - I generally look out to eirther test the subject lines, email body copy and placement of CTA. Once I design the 2 emails I would either go for 50-50% A/B testing if the email is a behavioural automated email and analyze which email is performing better, else select the option wherein 40% of segment of A and B will receive the email & within 3 hours the high performing email is selected as winner and then it is sent to the rest userbase who did not recieve the emails. 

[Joo]

Divide the segments lets (Segment A and B), experiment with content on each of the segments and deduce a comprehensive list of where what you are getting wrong or right.

[ErickRezende]

I'll run experiments reducing the emails sent in a period of time, changing the subject line and body text.

[jmdiamond76]

I would use a version A with 500 subject lines, then another version B with 500 subject lines to see the difference.

[AnForero]

First of all, you would have to choose two segments from the same list or database to better understand their behavior separately. Then, I would do an A and B test of two different subjects with the complete Database, and finally, I would do two versions of the email, one longer and one shorter to know how much engagement or interest my BD has in the information that you I am giving and which call to action is the most effective.

[GreenV10]

1- Analyze the metrics.

2- Set a goal with the new inputs. 

3-Re-design the newsletter (content, design, CTA)

4- Run an A/B test. 

[VVettor]

Ideally, the first step will be to analyzed the previos behavior of the newsletter and identify what could get better, content, images, subject lines, CTA's, etc... From there, create the A/B testing, make sure content and images are aligned with the brand and newsletter's template, have a clear CTA, see which one has a better result and send that one

[ahmedsohail21]

Firstly I will Create a goal and then secondly I will use the A/B test Format.