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Tracking the Success of Email Referral Incentive Programs
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Tracking the Success of Email A/B Testing Efforts
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Tracking the Success of Email and Social Media Integration Efforts
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Tracking the Success of Email Community Building Campaigns
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Tracking the Success of Email Testimonial Requests
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Creating an Opinion about Tracking the Success of Email Survey Requests
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Tracking the Success of Email Event Invitations
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Tracking the Success of Email Re-engagement Campaigns
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Tracking the Success of Email Cross-Selling Efforts
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Measuring the Success of Email Segmentation Efforts
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Tracking the Success of Email Calls to Action
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Using Metrics to Measure the Success of an Email Loyalty Program
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Measuring the Success of Your Email Sales Funnel with Metrics
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Using Personalization to Improve Email Marketing Success
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Using Email Deliverability Data to Track and Measure Email Campaign Success
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Using Email Deliverability Case Studies to Learn from Others' Successes and Failures
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Using Email Deliverability Metrics to Track and Measure Success
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How to Improve Email Marketing Campaigns with Email Design
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Understanding Email Marketing Analytics to Track and Measure Email Campaign Success
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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.