Imagine you need to create a landing page for an email newsletter aimed at software developers with five years of experience who want to move into industrial engineering.
To generate the text, we will use AI (artificial intelligence) — OpenAI ChatGPT and GPT-3. AI and data engineering consultant Bartoc Mikulski explains .
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Content
AIDA Marketing Model
How does GPT work and why is it important for Prompt engineering?
Including audience analysis in the tooltip
Is it possible to publish AI content on the Internet?
How to turn AI text into a quality landing page?
AIDA Marketing Model
There are many copywriting formulas 2024 updated phone number list from worldwide. One of them is AIDA. It stands for Awareness, Interest, Desire, and Action.
It is a hierarchical marketing model consisting of stages aimed at persuading the consumer to make a purchase.
In addition, we can use this model to convince people Newsletter Landing Page to sign up for a free email newsletter, make a charitable donation, or watch a movie.
First of all, we inform the consumer about the problem he is facing.
Next we get him interested in solving the problem. We tell him what solution exists and how it can improve his situation.
At the Desire stage, we describe the solution, talking about the benefits of the product we offer as a solution.
At the end, we write a call to action (Call-To-Action). In the case of an email newsletter, we want the person to leave us their email. If we have an extensive product, we can offer to take part in a free webinar or get a free consultation from a specialist.
The AIDA model creates a funnel, at each stage of which some consumers will be eliminated.
Read also: What is an advertising text: structure and 7 schemes of creation with examples
How does GPT work and why is it important for Prompt engineering?
First of all, we need to know how GPT works . It is very important Newsletter Landing Page to understand what we can expect from an AI model and what expectations are unrealistic.
GPT is a model for generating text. Given some input, GPT outputs the most likely next word in a sentence. Just one word? Yes.
Tools like ChatGPT feed your input data with the previously generated agent email list word back into the model to produce entire paragraphs of text, but the model generates one word at a time.
If you use the Chain of Thought hint method
GPT can even come up with logical reasoning, but the model can’t handle such a complex task without your help.
We can lead GPT to create what we want by “role playing.” In short, we provide context that describes the situation and ask GPT to fill in the blanks in the conversation script.
We’ll use a method described by Swarup Mishra of Arizona State University Newsletter Landing Page and Elnaz Noori of Microsoft Research in their paper, “Help Me Think: A Simple Model-Based Prompting Strategy for Non-Experts to Generate Personalized Content.” This is just one of many Prompt Engineering techniques .
To begin, we describe the AI’s role in the first person singular and ask GPT to generate questions.
We will continue to answer these questions until we have collect enough data to achieve the desired result.
The text below shows the prompts turkey data we wrote in standard font (context and answers; K). The neural network phrases (questions; H) are marked in bold:
“I’m an experienced copywriter. I’m going to ask you a few Newsletter Landing Page questions to gather the information you need to write an email landing page for a programmer with 5 years of experience who wants to move into data engineering.