CHAT GPT ДЛЯ ЧАЙНИКОВ УРОК 1

How to Effectively Use ChatGPT for Marketing

Introduction to the Problem

• Many users find that ChatGPT generates polished texts that lack practical value, such as sales copy that doesn't convert or analyses that state the obvious.

• The speaker emphasizes a systematic approach used in their agency, which yields results like 20 additional leads per month without increasing ad spend.

Target Audience and Course Purpose

• This course is aimed at entrepreneurs and marketers seeking tangible results—leads, clients, and revenue—rather than just theoretical knowledge.

• The speaker introduces themselves as Andrey Gusarov, with 14 years of experience in marketing across 859 projects in 17 countries, managing client budgets exceeding $20 million.

Common Mistakes with ChatGPT

• A typical request to ChatGPT for a sales text often results in generic content that fails to differentiate from competitors due to lack of context or specific instructions.

• The speaker shares a case study involving a U.S. window repair company struggling with low conversion rates on landing pages (1.1%).

Case Study: Improving Conversion Rates

• Instead of tweaking ads or headlines, the agency analyzed competitors and rewrote six landing pages using insights from ChatGPT, leading to an increase in conversion rates from 1.1% to 1.4%.

• This resulted in an additional 20 leads per month without increasing the budget, translating into potential revenue increases between $6,000 and $20,000 monthly.

The Formula for Success: Five Elements

• The "Gusarov Formula" consists of five elements transforming ChatGPT from a toy into a money-making tool:

• Role: Define who is responding (e.g., an experienced marketer).

• Context: Provide specific details about your situation (e.g., target audience demographics).

• Business Logic: Outline step-by-step instructions rather than vague requests.

• Limitations: Specify what should not be included (e.g., avoid generic phrases).

• Output Format: Clearly define how you want the information presented (e.g., tables).

Implementing the Gusarov Formula

• When defining roles for ChatGPT responses, specificity enhances output quality; e.g., instead of just saying "marketer," specify expertise in home services within the U.S.

• Providing context helps tailor responses accurately; include niche details like geographic focus and audience concerns.

Detailed Steps for Effective Prompts

• Business logic involves guiding ChatGPT through identifying customer pain points before crafting unique selling propositions based on competitor analysis.

• Limitations help filter out irrelevant content; instructing against common phrases ensures clarity and relevance in outputs.

Example Prompt Construction

• An example prompt includes specifying role as a marketing analyst with relevant experience while detailing business goals related to window repair services targeting homeowners concerned about quality service.

Analysis of Competitors and Strategic Recommendations

Overview of Competitive Analysis

• The need for a detailed competitor analysis is emphasized, focusing on specific facts, quotes from competitors' websites, and numerical data. Each competitor should be summarized in no more than 80 words.

• A structured table format is suggested to outline the strengths and weaknesses of each competitor, highlighting actionable insights for strategic planning.

Methodology and Implementation

• The speaker discusses utilizing an algorithmic approach with ChatGPT to generate insights based on provided data rather than guessing. This method aims to streamline the analysis process significantly.

• The "Gusarov Formula" is introduced, consisting of five elements: role, context, task, logic, and constraints. This system has proven effective in various projects across multiple countries.

Practical Application

• Listeners are encouraged to apply the discussed methodology by selecting a long-standing task (e.g., analysis or strategy development), creating prompts using the five elements formula, and observing the results.

• Engagement is invited through comments or feedback on outcomes after applying this method, indicating interest in real-world applications of the discussed strategies.