[Classroom] Assistable.ai's full client acquisition system in GoHighLevel built for scale

Introduction

In today's digital landscape, effective client acquisition strategies are essential for success. With Assistable.ai, we utilize advanced tools and workflows that harness the power of artificial intelligence (AI) to streamline and scale our client acquisition process. This article offers an in-depth walkthrough of our client acquisition system built on GoHighLevel, designed to maximize effectiveness and deliver a memorable experience for potential clients.

Advertising Strategy

We initiate our client acquisition efforts through targeted ads. Currently, we have video ads running that direct traffic to our main landing page without a complex design. The primary goal of our ads is to funnel potential leads towards our interactive demo.

Once users click through, they are directed to a GoHighLevel landing page with a form to fill out. To ensure quality submissions, we implement anti-bot measures and seek their consent for outreach. Every channel we utilize, whether it’s YouTube, organic traffic, or Facebook Ads, points to this single landing page to maintain focus and clarity.

Importance of Simple Landing Pages

From extensive experience, I’ve learned that complex landing pages with excessive links or information can overwhelm potential clients. Considering short attention spans, we prioritize a streamlined approach that leads users directly to our call-to-action.

Workflow Configuration

The workflows we’ve established for lead qualification are crucial for smoothly handling incoming leads. We have two main workflows: one for leads from Facebook Ads and another for organic submissions.

Workflow for Facebook Leads

1. Tagging for Attribution: When a lead from a Facebook form submits, they are tagged for attribution so that we can analyze the effectiveness of our campaigns.

2. AI Interaction: After a brief delay, the AI engages with the lead, kicking off a unique conversation that captures their attention. Unlike typical AI demos, we strive for a human-like touch by admitting initial oversight, which sets us apart.

3. Collecting Information: The AI then requests the lead's website and engages them with insightful questions, laying the foundation for a qualified conversation.

Workflow for Organic Leads

For leads that come from our website, we implement a similar but distinct process. It includes different tagging and context injections based on their origin and captures valuable information about their interests and needs.

Appointment Confirmation

We have an automated email confirmation for scheduled appointments. This approach maximizes our service to the community while providing valuable resources without conducting sales calls. This sets the tone for helping clients understand AI's complexities while gently guiding them towards the community we support.

AI Assistant Integration

The heart of our system is the AI assistant, which incorporates general training, knowledge management, and a task-based framework—all designed to optimize interactions with potential clients. By providing concise instructions and using a task-based approach, the AI is intrinsically motivated to operate efficiently without requiring extensive manual input.

Knowledge Management

The AI assistant is equipped with a knowledge base encompassing FAQs, objection handling, and pricing details. This design facilitates effective responses to user queries without leaving gaps or requiring human oversight.

Verbiage and Instruction

Clear and concise communication is pivotal when instructing the AI. By simplifying our prompts and creating a comfortable conversational flow, we ensure productivity and clarity in responses. Our approach includes using a casual yet professional tone, enhancing user experience considerably.

Task-Based Framework

The AI follows a structured task-based framework. It includes:

1. Scraping user websites to personalize interaction.
2. Confirming if the lead utilizes AI in their operations, followed up with probing questions that deepen our understanding.
3. Finally, booking an appointment after verifying contact information—all cross-referenced through custom extraction tools.

Conclusion

Our client acquisition system, utilizing GoHighLevel and AI integration, is designed for scalability. This detailed framework can effectively convert leads into engaged clients through thoughtful interaction and streamlined processes. We’re constantly refining our methods to ensure every user feels valued and understood, creating a welcoming environment that encourages conversion.

With proper execution, we ensure a smooth client journey from initial exposure through to onboarding. As we continue to scale our processes, we anticipate fruitful results, transforming our approach into an industry-leading model.

Keywords

• Client Acquisition
• GoHighLevel
• AI Assistant
• Landing Pages
• Digital Marketing
• Workflows
• Automation

FAQ

1. What is the primary goal of Assistable.ai's client acquisition system?
The primary goal is to streamline the client acquisition process by utilizing AI and GoHighLevel tools to engage leads effectively and convert them into clients.

2. How are leads generated?
Leads are generated primarily through targeted ads, organic traffic, and social media, with all channels pointing to a single optimized landing page.

3. What are the two main workflows in the system?
The two main workflows are designed for leads coming from Facebook Ads and those coming from organic submissions on the website.

4. How does the AI assistant improve the client experience?
The AI assistant enhances the client experience by providing timely and relevant information, ensuring personalized interaction, and qualifying leads through engaging conversations.

5. Why is a task-based framework essential for the AI assistant?
A task-based framework allows the AI to execute specific tasks autonomously and efficiently, ensuring streamlined interactions and effective communication with leads.