You're probably hearing a lot of buzz about large language models (LLMs) and generative AI these days. And for good reason – this technology is poised to transform marketing in some major ways.

Direct mail continues to be an effective marketing channel, but determining the right format for your campaign can be crucial for maximizing response rates and return on investment (ROI).

Email marketing can be tricky. Online, consumer tastes and expectations change as quickly as you can open a new tab. What worked for you before may fail when you try it again. 

But it's not a crapshoot. You can learn a lot about your audience through a little bit of science. The best way to improve your email marketing strategy is...

TEST, TEST, TEST. 

But before you do, you need to follow a few ground rules. Take a look at the infographic below to learn the basics of A/B testing for email. 

One of the exciting aspects of digital marketing communications is that anything can happen. Consumers may be attuned to one campaign and not the other. The trouble is that as marketers we don’t always know what works. Finding the “sweet spot” of generating clicks, views, conversions, etc. can be difficult. A/B testing is an efficient way to find the sweet spot and continue to improve performance. A/B testing is a method that can be used across most channels to identify a more effective way to communicate with customers and impact the performance of a campaign.