As I mentioned last week, validating an idea is a challenging step for me as a developer. I’ve engaged a developer to build a website and a video editor to craft an ad video. This ad will be showcased on Instagram and Facebook to gauge the potential demand for this kind of product. The plan is to create an ad that showcases the MVP, offer it for a minimum price, and observe if people are interested.
In case you missed the previous post, let’s quickly recap. My goal is to develop a Lead Generation Automation Tool aimed at assisting small businesses. The tool will automate their marketing efforts on a budget-friendly basis and generate leads for them. Currently, I am validating my “Idea 1: Generating Leads from a Website Using an AI Chatbot.” Please refer to the previous blog for a comprehensive understanding of how I’m validating this idea.
Update on Neo’s Website
I’ve named the chatbot I am developing Neo. The website construction is mostly complete, with a few remaining steps such as deploying it, installing analytics, and integrating other tools like Hotjar to monitor user behavior. It should be fully operational within the next two days.
Update on Neo’s Ad Video
Here, I encountered a setback. I trusted the task to someone I knew, anticipating they would deliver high-quality work on time. However, the results did not meet my expectations, a recurring scenario that I seem to experience quite often. So, I am now searching for another person to complete this task.
Battling Developer Instincts
This week appears to be largely dedicated to the ongoing validation of our initial idea. Yet, I find my developer instincts nudging me to move beyond just validation. I’m tempted to begin implementing this as part of “Idea 2: Generate Leads from LinkedIn by Using AI to Create Posts.”
The Idea
The concept we have in mind is to develop a page where users can link their LinkedIn or Twitter accounts. Our AI chatbot, Neo, would then analyze their existing posts and target audience, creating the subsequent posts using Language Model Learning (LLM) and internet searches for new data.
The Rationale
This approach represents another facet of our lead generation strategy using social media channels. We aim to drive traffic from the users’ social media channels to their websites. Neo, the AI chatbot, is then tasked with converting those website visitors into leads. This demonstrates the potency of Neo’s capabilities in a tangible manner, offering users an easy-to-understand illustration of how this tool can benefit their marketing efforts.
Next Step
My Next step is run Ad and analyze the lead generated by it, Complete the Website MVP and Complete the Twitter or LinkedIn Post Creation based on existing posts and find some early users who love to use this product.
