Create unique ability with ChatGPT
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Create unique and engaging ability with ChatGPT, a pre-trained language model by OpenAI for generating high-quality and accurate content.
Optimizing Email Campaigns for Mobile Devices: A Guide to Deliverability
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The Key Factors that Influence the Deliverability of Emails on Mobile Devices
What are the key factors that influence the deliverability of emails on mobile devices?
Creating an Opinion on Improving Readability of Emails on Mobile Devices
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Creating Calls-to-Action that are Easy to Tap on Mobile Devices
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Best Practices for B2B and B2C Email Deliverability
How can I use email deliverability best practices for B2B and B2C email campaigns?
Using Email Content Optimization Techniques to Improve Email Deliverability
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Using Feedback Loops to Improve Email Deliverability
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How Can I Use Email Engagement Metrics to Improve My Email Deliverability?
How can I use email engagement metrics to improve my email deliverability?
Best Practices for Email Deliverability to Avoid Email Filtering
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Creating an Opinion on Email Deliverability Best Practices
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Using Email Deliverability Testing to Identify and Resolve Deliverability Issues
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How to Use Email Deliverability Best Practices to Ensure Compliance with Spam Laws
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Email Deliverability Tactics to Reach the Spam Inbox
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How to Use Email Deliverability Techniques to Reach the Primary Inbox
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How Can I Use Email Deliverability Benchmarks to Compare My Performance to Others in My Industry?
How can I use email deliverability benchmarks to compare my performance to others in my industry?
Creating an Opinion About Email Deliverability Best Practices
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Using Authentication Techniques to Increase Email Deliverability
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Creating an Opinion on Email Marketing Regulations Compliance
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Creating an Email Template Optimized for Deliverability and Engagement
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Creating an Email Template Optimized for High Deliverability and Engagement
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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.