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The Impact of A/B Testing on Overall Email Subscriber Engagement
The impact of A/B testing on the overall engagement of your email subscribers.
Using A/B Testing to Optimize the Call to Action in Your Emails
Using A/B testing to optimize the call to action in your emails.
How to Use A/B Testing to Optimize the Design of Your Emails
How to use A/B testing to optimize the design of your emails.
The Benefits of Using A/B Testing to Improve Email Conversion Rates
The benefits of using A/B testing to improve email conversion rates.
Generating an Opinion about A/B Testing for Email Open Rates
Using A/B testing to improve email open rates.
Designing Effective A/B Tests for Email Marketing Campaigns
How to design effective A/B tests for your email marketing campaigns.
The Importance of A/B Testing in Improving Email Campaign Performance
The importance of A/B testing in improving the performance of your email campaigns.
A/B Testing and Email Content Optimization for Campaigns
How can A/B testing help me choose the optimal email content for my campaigns?
How Can I Utilize A/B Testing to Discover the Optimal Email Personalization Strategy?
How can I utilize A/B testing to discover the optimal email personalization strategy?
Recommended Practices for Establishing and Carrying Out A/B Tests for Email Campaigns
What are some recommended practices for establishing and carrying out A/B tests for email campaigns?
Understanding A/B Testing to Improve Email Campaigns
How can A/B testing help me increase the effectiveness of my email campaigns?
How Can I Use A/B Testing to Optimize My Email's Use of Retargeting and Remarketing Campaigns?
How can I use A/B testing to optimize my email's use of retargeting and remarketing campaigns?
Using A/B Testing to Optimize Email Dynamic Content Based on Subscriber Behavior and Preferences
How can I use A/B testing to optimize my email's use of dynamic content based on subscriber behavior and preferences?
Using A/B Testing to Test Email Marketing Automation Triggers and Actions
How can I use A/B testing to test the effectiveness of different email marketing automation triggers and actions?
Using A/B Testing to Test Email Encryption Methods for Improved Security
How can I use A/B testing to test different email encryption methods such as TLS and STARTTLS to improve security?
Using A/B Testing to Optimize Email Sender and Domain Reputation
How can I use A/B testing to optimize my email's sender reputation and domain reputation?
A/B Testing for Optimizing Email Preheader Text
How can I use A/B testing to optimize my email preheader text?
How to Improve Email Subject Lines Using A/B Testing
How can I use A/B testing to improve my email subject lines?
Understanding A/B Testing and Multivariate Testing for Email Campaigns
What is the difference between A/B testing and multivariate testing for email campaigns?
Optimizing Call-to-Action and Buttons in Email Campaigns with Multivariate Testing
How can I use multivariate testing to optimize the call-to-action and buttons in my email campaigns?
What is “prompt engineering”?
A “prompt” is the input that guides a generative AI model to generate useful outputs. Generative AI tools like ChatGPT, GPT, DALL·E 2, Stable Diffusion, Midjourney, etc. all require prompting as their input.

In a natural language processing (NLP) context, “prompt engineering” is the process of discovering inputs that yield desirable or useful results. As is the story with any processes, better inputs yield better outputs; or commonly said another way “garbage in, garbage out.”


Become a prompt researcher instead of engineer
- If you’re already a subject matter expert in something, consider figuring out how to apply your personal skills to generating the best prompts in your field
- For example, if you’re an expert in SEO, what questions do you ask yourself when creating SEO strategies? How can you translate this knowledge into better prompts to generate the same level of output with AI?
Become a prompt researcher instead of engineer
- The term prompt engineer glosses over the idea that prompt formulation takes hypothesizing, research, result measurement, and repetition. Instead, approach prompting like a research project.
- Try as many different variations and formulations of your prompt as possible. One problem can have hundreds of solutions and one solution can have hundreds of approaches. The same can be said of prompting.