Our client, a prominent IT services provider, faced a pressing challenge: recovering revenue lost due to missed opportunities with Marketing Qualified Leads (MQLs). These leads were not converting into Sales Qualified Leads (SQLs), resulting in diminished potential revenue. Despite their success in generating leads, the gap in converting MQLs was a significant hurdle that required immediate attention.
The client observed that MQLs were disengaging early in the sales process, either due to budget constraints, unclear value propositions, or delayed follow-ups. Traditional email campaigns proved ineffective in garnering timely responses, compounding the issue. To address this, the client sought a solution that could:
2 Developers
Custom CRM Development
10 Weeks
20-12-2024
To tackle the problem, we implemented a solution leveraging the GHL (Go High Level) platform’s advanced automation and workflows. The key components of the solution included:
For campaign automation, customer sync, and external system integrations.
MQL datasets were uploaded into the GHL system for streamlined processing. Automated workflows segmented leads based on their attributes and interaction history, ensuring precision targeting. We chose text based interaction with all our prospects. This initial step established a foundation for more effective engagement, enabling tailored communication strategies.
A bespoke AI chatbot was developed to engage leads primarily through text messaging—a more responsive channel compared to email. The chatbot initiated conversations by introducing itself as a helpful assistant, making interactions feel personal and engaging. It systematically gathered feedback on why leads had disengaged, such as budget limitations, misunderstanding of offerings, or timing issues.
Based on lead feedback, the chatbot dynamically generated personalized offers. For example: Budget-conscious leads were offered tiered pricing options or limited-time discounts. Leads expressing confusion were directed to concise resources or demo videos to clarify service benefits. Timing-related objections were addressed with flexible project initiation dates or consultation scheduling. These tailored solutions effectively addressed objections, converting hesitation into interest.
The system sent automated follow-ups to ensure leads didn’t lose momentum after their initial engagement. Reminder texts kept the leads on track to book meetings or respond to offers. This automated persistence eliminated the risk of human error or delay in follow-ups.
I Built a unified CRM allowing leadership to manage operations for Hales AC, Abraham AC, and Climate Control Services seamlessly while keeping data fully segregated and secure.
Automated technician job assignment processes, bio-sharing, and review-request workflows to eliminate manual tasks and improve customer transparency.
Implemented automated email/SMS workflows and integrated GoHighLevel CRM to re-engage inactive customers and improve long-term retention.
Integrated analytics dashboards and Power BI visualizations to help management track technician performance, customer satisfaction, campaign results, and ROI trends.
MQLs were dropping out early in the sales process due to budget constraints, unclear value propositions, or delayed follow-ups.
Standard email campaigns failed to elicit timely responses, limiting lead engagement opportunities.
The client required methods to reconnect with MQLs and regain their attention.
Coordinating bios, SMS/email alerts, and review requests across multiple APIs needed precise validation to avoid failures or duplicate sends.
Different data formats from GoHighLevel and Power BI made it hard to combine marketing spend, conversions, and retention metrics into one dashboard
Understanding why leads weren’t converting—whether budgetary, interest-based, or timing-related—was crucial.
Tailored offers and value-driven messaging were needed to reignite interest and move leads smoothly into SQLs.
The implementation of the AI-powered engagement system significantly improved lead conversion by reconnecting 343 previously disengaged MQLs, increasing response rates by 40% through text-based engagement, and reducing manual follow-ups by 70%. Its scalable, modular design allowed adaptation across industries, ultimately contributing to a 17% increase in quarterly sales.
