Traditional Marketing Methods
Nowadays, businesses actively use traditional marketing methods such as:
- Google Ads: Displaying ads in search engines.
- Social Media Ads: Running campaigns on Instagram, Facebook, TikTok, and other platforms.
However, these methods come with two major drawbacks:
- High Costs: For startups and small businesses with limited budgets, these channels can be too expensive.
- Low Efficiency: Even with significant investments, setting up accurate targeting for the audience can be challenging. As a result, ads don’t always reach people who genuinely need the product or service.
An Innovative Approach: Solving Real Problems
We propose a completely different approach:
- Instead of just showing ads, we focus on helping people solve real problems.
- Many people ask questions on forums like Reddit or Quora about topics that interest them and wait for qualified answers.
Our Solution:
- We identify topics and discussions that are relevant to a specific business.
- We provide high-quality and helpful answers to these questions, showcasing expertise and subtly including a link to the client’s business that wants to implement this promotion strategy.
Example:
Imagine you are the owner of a startup that offers SaaS solutions. You find a question on Reddit about a problem that your product solves, provide a high-quality answer with helpful recommendations, and at the end, share a link to your service for further assistance.
Using AI for High-Quality Answers
To ensure the highest quality answers, we use LLM models (Large Language Models). These models can generate structured, useful, and well-written answers based on given questions.
How It Works?
Collecting Questions via Scraping:
Questions for the AI are collected using web scraping.-
Relevance Check:
AI analyzes each question to determine whether it is related to the target industry:- If a question is irrelevant, it is labeled as "not referred" and ignored.
- If a question is relevant, AI generates a high-quality and useful answer.
Answer Generation:
After confirming relevance, AI creates an answer to be published on the appropriate forum or platform.-
Answer Publishing:
- Answers can be published manually, allowing a specialist to review and adapt the text further.
- Manual publishing is also more community-friendly for platforms like Reddit, as it respects their guidelines.
- However, for broader coverage, automatic publishing is also an option, enabling quicker responses to more questions.
Tools We Use
ScrapingDB.com:
- A platform perfectly suited for automating web scraping.
- It allows for quick and efficient data collection from Reddit.
GroqCloud:
- A service that provides access to LLM models via API.
We will test two popular models:
- Llama3-8b-8192: Developed as part of the Llama project by Meta (formerly Facebook), this model is focused on creating powerful open-access language tools. It is renowned for its accuracy in understanding complex texts and its ability to handle large contexts (8192 tokens).
- Gemma2-9b-it: A second-generation language model from Gemma AI, specializing in technical and IT-related disciplines. Its advantages include high generation speed and a strong focus on relevance in technical topics.
Goal: To determine which model performs better in generating answers for our use case.
Conclusion
We propose an innovative approach to marketing that not only grabs attention but also helps people solve their problems. By using web scraping to collect data and AI to generate answers, we ensure high-quality interaction with the target audience.
What’s Next?
If you liked this idea and want me to create another article with a detailed explanation of the technical implementation, make sure to leave a like and write a comment. Your feedback motivates me to create more useful content! 😊
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